Alternatives to PureMind

Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.

Speechmatics is the most accurate and inclusive speech-to-text API ever released. Speechmatics is the world’s leading expert in Speech Technology, combining the latest breakthroughs in AI and ML to unlock the business value in human speech. Businesses use Speechmatics worldwide to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect, or location in real-time and on recorded media. Combining these transcripts with the latest AI-driven speech capabilities, businesses build products that utilize summarization, topic detection, sentiment analysis, translation, and more. How is Speechmatics different? * The most accurate speech recognition on the market * 55 languages with vast accent and dialect coverage * Cloud-based or on-premises deployment options for data security * Real-time transcription with low latency and high accuracy * Real-time translation with 69 language pairs * Speech Understanding features such as Summaries, Sentiment, Topic Detection, Chapters, Audio Events * Fast and secure transcriptions for pre-recorded audio * Automatic translation and language identification * A culture of R&D in deep learning and speech recognition

You can classify customer interactions, extract information from text or images and identify and count objects in photos or video. You can even transcribe audio. Follow these simple steps to train your own model or one of our pre-trained AI models. Connect any app to your AI models via an API-ready service or our add-ons Excel and Google Sheets. Predict and train from text, audio, image/video and audio. Native support for English, Spanish, Portuguese, and Portuguese. You can add intention recognition to your conversations, detect emotions, or have your bot reply from a question answering system built with Cogniflow. Support tickets can be automatically classified via email. You can respond faster and more effectively to customer problems. To check compliance, identify the tone and highlight key points of the conversation, you can record your client calls.

Your deep learning workload can be accelerated. AI model training and inference can speed up your time to value. Deep learning is becoming more popular as enterprises adopt it to gain and scale insight through speech recognition and natural language processing. Deep learning can read text, images and video at scale and generate patterns for recommendation engines. It can also model financial risk and detect anomalies. Due to the sheer number of layers and volumes of data required to train neural networks, it has been necessary to use high computational power. Businesses are finding it difficult to demonstrate results from deep learning experiments that were implemented in silos.

Automated variable selection allows you to identify key variables and their interactions. Insightful visualization of data & model dynamics. Execution of batch commands. SQL queries and data browsing. Pre & post-processing for creating variables, constraining outputs, etc. Models can be easily deployed using ActiveX (i.e. OCX) controls and DLLs. Regression, neural networks and self-organizing maps are all powerful modeling algorithms. Predictive Dynamix is a computational intelligence software that can be used for forecasting, prediction modeling, pattern recognition and classification, as well as optimization applications. It can be used in all industries. Modern neural network technology is a powerful computational structure that can solve difficult problems such as pattern recognition and forecasting. Multi-layer perceptron neural network architecture allows multiple coefficients for each input variable.

With T5, we propose re-framing all NLP into a unified format where the input and the output are always text strings. This is in contrast to BERT models which can only output a class label, or a span from the input. Our text-totext framework allows us use the same model and loss function on any NLP task. This includes machine translation, document summary, question answering and classification tasks. We can also apply T5 to regression by training it to predict a string representation of a numeric value instead of the actual number.

A platform that offers a variety of machine learning algorithms to meet data mining and analysis needs. Machine Learning Platform for AI offers end-to-end machine-learning services, including data processing and feature engineering, model prediction, model training, model evaluation, and model prediction. Machine learning platform for AI integrates all these services to make AI easier than ever. Machine Learning Platform for AI offers a visual web interface that allows you to create experiments by dragging components onto the canvas. Machine learning modeling is a step-by-step process that improves efficiency and reduces costs when creating experiments. Machine Learning Platform for AI offers more than 100 algorithm components. These include text analysis, finance, classification, clustering and time series.

UHRS can help you with data validation, data validation, classification and sentiment analysis. We offer human intelligence to train machine-learning models to solve some of your most difficult problems. Judges can access UHRS from anywhere and at any time. All judges need is an internet connection and they are ready to go. You can complete tasks such as video annotation in a matter of minutes. UHRS makes it easy to classify thousands images quickly and efficiently. You can train your products and tools with improved boundary recognition, image detection, and other features using high-quality annotated data images. Classify images, semantic segmentation, object detection. Validating audio to speech, conversation, relevance. Identify the sentiment of a tweet and classify documents. Ad hoc data collection tasks, information correction/moderation, and survey.

The Salford Predictive Modeler® (SPM), software suite, is highly accurate and extremely fast for developing predictive, descriptive, or analytical models. Salford Predictive Modeler®, which includes the CART®, TreeNet®, Random Forests® engines, and powerful new automation capabilities and modeling capabilities that are not available elsewhere, is a software suite that includes the MARS®, CART®, TreeNet[r], and TreeNet®. The SPM software suite's data mining technologies span classification, regression, survival analysis, missing value analysis, data binning and clustering/segmentation. SPM algorithms are essential in advanced data science circles. Automation of model building is made easier by the SPM software suite. It automates significant portions of the model exploration, refinement, and refinement process for analysts. We combine all results from different modeling strategies into one package for easy review.

NeuroIntelligence, a software application for neural networks, is designed to help experts in data mining, predictive modeling, pattern recognition, and neural network design in solving real-world problems. NeuroIntelligence uses only proven neural net modeling algorithms and techniques. It is easy to use and fast. Visualized architecture search, training and testing of neural networks. Neural network architecture search. Fitness bars. Network training graphs comparison. Training graphs, dataset error and network error, weights distribution, neural network input importance, and errors distribution Testing, actual vs. output graph, scatter plot and response graph, ROC curve and confusion matrix. NeuroIntelligence's interface is optimized to solve data mining and forecasting, classification, and pattern recognition problems. The tool's intuitive GUI and time-saving features make it easy to create a better solution faster.

Komprehend AI APIs provide the most complete set of document classification and NLP programming APIs for software developers. Our NLP models have been trained on more than a million documents and provide state of the art accuracy for most NLP use cases, such as sentiment analysis or emotion detection. Get our Text Analysis API free demo. It provides useful insights from textual data and maintains high accuracy in real life. It can work with a variety data types, from healthcare to finance. Private cloud deployments via Docker containers and on-premise deployments are supported. This prevents data leakage. Your data is protected and the GDPR compliance guidelines are followed to the letter. Monitor online conversations to understand the social sentiment surrounding your brand, product, and service. Sentiment analysis, also known as contextual mining of text, is a method that extracts and identifies subjective information from the source material.

Pangeanic is the world's first deep adaptive machine translator offering 90% human parity for auto publication, automatic document classification, and a full NLP ecosystem to anonymize, summarize, name-entity recognition, data for AI services, and data for eDiscovery. Pangeanic is used by international and cross-national organizations, multinationals, government agencies, and other language companies around the globe. Our quality service philosophy is supported by the most up-to-date computer applications and state of-the-art language testing technology. Our entire package is designed to reduce translation and localization costs in any language.

Rinalogy Classification API can integrate with your application and run in a customized environment. Rinalogy Classification API is a cloud-based machine learning API that runs in an environment you cannot control and requires you to transfer all your data. Instead, Rinalogy Classification API can easily be deployed in your IT infrastructure and close to your data. Rinalogy Classification API performs Exhaustive Sequential Classification, applying models to all documents in a collection. The models can be saved and improved with additional training data, or used to predict new documents later. You can adjust the number workers according to your workload with its scalable cluster deployment. The Rinalogy API allows you to add text classification, search, recommendation capabilities to client applications.

AutoTrain is a new way to automatically evaluate, deploy and train state-of-the art Machine Learning models. AutoTrain, seamlessly integrated into the Hugging Face ecosystem, is an automated way to develop and deploy state of-the-art Machine Learning model. Your account is protected from all data, including your training data. All data transfers are encrypted. Today's options include text classification, text scoring and entity recognition. Files in CSV, TSV, or JSON can be hosted anywhere. After training is completed, we delete all training data. Hugging Face also has an AI-generated content detection tool.

High-quality text generated using state-of the-art AI. It is fast, accurate, and flexible. Competitive cost-effective AI text generation using advanced large neural networks. Our constantly improving API allows you to create chatbots, answer questions, summarize, paraphrase, and alter the tone of your text. It is easy to guide text creation using prompt engineering. This can adapt the API for e.g. Classification or sentiment analysis. We do not store any personal information on our servers. Our algorithms are continuously trained to keep them current and help them understand the most recent events. Multilingual global text generation in almost all languages. Links are crawled and image content is analyzed to generate realistic text, text in images is recognized so you can answer questions about screenshots/receipts, etc. A shared API allows code generation in many languages, including.

Powerful language models a click away. Join over 8,000 developers in building the next wave world-changing applications. Fine-tune GPT-J and deploy Codegen, FLAN-T5, GPT NeoX and GPT NeoX. There are multiple models with different capabilities and prices. GPT-J has the fastest speed, while GPT NeoX is the most powerful. And more models are coming. These models can be used for classification, entity extracting, code generation and chatbots. They can also be used for content generation, summarizations, paraphrasings, sentiment analysis and more. These models have already been pre-trained using a large amount of text taken from the internet. The fine-tuning process improves this for specific tasks, by training on more examples than are possible in a prompt. This allows you to achieve better results across a range of tasks.

Weka is a collection containing machine learning algorithms for data mining tasks. It includes tools for data preparation, classification and regression, clustering, clustering, association rule mining, visualization, and visualization. The Weka is a flightless bird that lives only on New Zealand's islands. It has an inquisitive nature and is not able to fly. The bird's name is pronounced as follows: Weka is open-source software that is licensed under the GNU General Public License. Weka is open source software. We have created several online courses that can be used to teach machine learning and data mining. You can find the videos on Youtube. The invention and application methods of machine learning (ML) is an exciting development in computer science. These allow a computer program analyze large amounts of data and determine the most relevant information. This information can then be used to automatically predict or help people make faster decisions.

A powerful labeling platform for all stages and types of ML development. We leverage a suite of industry-leading computer vision algorithms to automatically detect and classify the content of your images and videos. Creating detailed segmentation information is a time-consuming process. Machine assistance speeds up task completion by as much as 70%, saving you both time and money. We leverage ML to propose labels that accelerate human labeling. This includes computer vision models to automatically detect, localize, and classify entities in your images and videos before handing off the task to our workforce. Automatic labelling reduces workforce costs and allows annotators to spend their time on the more complicated steps of the annotation process. Our video annotation tool is built to handle 4K resolution and long-running videos natively and provides innovative features like interpolation, object proposal, and entity resolution.

We work closely with companies to identify the issues that prevent them from realising their potential. We create AI platforms that allow corporations to take full control and empowerment of their data. Adopting AI platforms at a reasonable cost will help you to protect your data and ensure that your privacy is protected. Enhance efficiency in businesses and increase the quality of the work done by humans. AI is used to automate repetitive or dangerous tasks. It also bypasses human intervention. This allows for faster tasks that are creative and compassionate. Machine Learning allows applications to easily provide predictive capabilities. It can create regression and classification models. It can also visualize and do clustering. It supports multiple ML libraries, including Scikit-Learn and Tensorflow. It contains around 22 algorithms for building classifications, regressions and clustering models.

XLMiner®, Platform is now called Analytic Solver®, Data Mining. It is our most powerful tool for data visualization, forecasting, and data mining in Excel. It allows you to visualize, explore, and transform your data in Excel. You can also apply both traditional statistics and modern data mining methods like classification and regression trees, neural networks, and apply the most popular time series methods of forecasting. It can extract data from any database, including Microsoft's Power Pivot database that stores 100 million rows. Its performance and capabilities rival that of enterprise data mining software, which can cost ten times as much. You get more with Analytic Solver data mining, including access to our cloud version and free use of our optimization and simulation.

Baidu Natural Language Processing is a cutting-edge technology that uses Baidu's vast data collection to develop natural language processing. Natural Language Processing is open to several core capabilities and solutions. These include more than ten types of abilities, such as sentiment analyses, address recognition, or customer comments analysis. Lexical analysis, which is based on word segmentation and part-of speech tagging technology, allows you to find basic language elements and eliminate ambiguity. It also supports accurate understanding. Semantic similarity can be calculated using deep neural networks, high-quality internet data, and vectorization to meet the requirements of business scenarios for high precision. Word vector representation is able to calculate texts by vectorizing words. It can help you complete semantic mining quickly.

B.I.R.B.AL. is our proprietary artificial intelligence engine. It was trained using a database of over a million articles in different language languages and applying state-of-the-art models of Natural Language Processing. B.I.R.B.AL. uses machine learning to classify news, extract-based summarization, news topics ranking, and interlanguage clustering. B.I.R.B.AL. Deep Learning uses both supervised and unsupervised machine-learning algorithms. Our artificial intelligence allows you to go beyond online content monitoring and predict the most important topics on the internet. You can gain strategic insights by studying large amounts of data and information. Rich web data sets can help you expand your financial analysis. Use structured web data to improve your predictive analytics and risk modeling and understand performance trends using a new instrument.

Connect your data to the Engine by uploading a file, or connecting to a database. You can then analyze your data with visualizations or prepare it for machine learning modeling using the data wrangling recipes. Build machine learning models using algorithms such as clustering, classification, or regression. All without writing any code. Discover insights into your data using the feature importance tools, prediction explanations, and what-ifs. Our connectors allow you to make predictions and integrate them into your existing systems.

Nyckel makes it easy to auto-label images and text using AI. We say ‘easy’ because trying to do classification through complicated AI tools is hard. And confusing. Especially if you don't know machine learning. That’s why Nyckel built a platform that makes image and text classification easy. In just a few minutes, you can train an AI model to identify attributes of any image or text. Our goal is to help anyone spin up an image or text classification model in just minutes, regardless of technical knowledge.

Natural language processing (NLP), which is a natural way to extract insights from unstructured text, is a great way to gain insight. To understand common topics and trends, identify key phrases and entities, such as people, places, or organizations. Pretrained models that are domain-specific can be used to classify medical terminology. Sentiment analysis allows you to gain a deeper understanding of customer opinions. You can evaluate text in many languages. Broad entity extraction Identify key concepts in text, including key words and named entities, such as people, places and organizations. Sentiment analysis that is powerful: Find out what customers think about your brand and how sentiment is around certain topics. Robust language detection: Assess text input in a variety of languages. Flexible deployment: Text Analytics can be run anywhere: on-premises, in the cloud, or at the edge with containers.

Klatch Technologies is a global provider of data services that helps companies and institutions collect and annotate data. We support Artificial Intelligence companies, research institutes, Machine Learning and Computer Vision projects in data labeling. Our specialists provide high-quality data security, rapid scalability and accuracy, as well as multilingual capability and quick turnaround time. Data Annotation Services Image Annotation Video Annotation Search Relevance Annotation for Text NLP Text classification Sentiment Analysis Image Segmentation LIDAR Annotation - Data collection services: Healthcare Training Data Chatbot Training Data All other data collection requirements IT Managed Services Moderation of Content Ecommerce Data Categorization

Levity is a no-code platform for creating custom AI models that take daily, repetitive tasks off your shoulders. Levity allows you to train AI models on documents, free text or images without writing any code. Build intelligent automations into existing workflows and connect them to the tools you already use. The platform is designed in a non-technical way, so everybody can start building within minutes and set up powerful automations without waiting for developer resources. If you struggle with daily tedious tasks that rule-based automation just can't handle, Levity is the quickest way to finally let machines handle them. Check out Levity's extensive library of templates for common use-cases such as sentiment analysis, customer support or document classification to get started within minutes. Add your custom data to further tailor the AI to your specific needs and only stay in the loop for difficult cases, so the AI can learn along the way.

With just a few lines, you can integrate natural language understanding and generation into the product. The Cohere API allows you to access models that can read billions upon billions of pages and learn the meaning, sentiment, intent, and intent of every word we use. You can use the Cohere API for human-like text. Simply fill in a prompt or complete blanks. You can create code, write copy, summarize text, and much more. Calculate the likelihood of text, and retrieve representations from your model. You can filter text using the likelihood API based on selected criteria or categories. You can create your own downstream models for a variety of domain-specific natural languages tasks by using representations. The Cohere API is able to compute the similarity of pieces of text and make categorical predictions based on the likelihood of different text options. The model can see ideas through multiple lenses so it can identify abstract similarities between concepts as distinct from DNA and computers.

Paradise employs robust, unsupervised machine-learning and supervised deep learning technologies in order to increase interpretation and gain greater insight from the data. Generate attributes to extract valuable geological information and for input into machine learning analysis. Identify the attributes that have the greatest variance and contribution to a given set of attributes in a particular geologic setting. Display the neural classes (topology), and the associated colors resulting Stratigraphic analysis. These indicate the distribution of facies. Deep learning and machine learning can automatically detect faults. Compare machine learning classification results with other seismic attributes to traditional logs. In fraction of the time it takes to generate spectral and geometric decomposition attributes on a cluster compute nodes, you can do this in fraction of the time with a single machine.

Kimola Cognitive is a highly reliable Machine Learning Platform that empowers individuals to automatically extract reviews from over 20 different channels and analyze and categorize customer feedback or any other textual data. These are the top features of Kimola Cognitive: Gather reviews by scraping the web Conduct text analysis and entity recognition with drag and drop Analyze data with ready-made models found on the Kimola Cognitive Gallery Create, train, and store custom machine learning models without coding Generate executive summaries, SWOT analyses, and other impactful marketing materials utilizing GPT Integration Accessible in six languages and increasing

Machine learning uncovers hidden patterns in enterprise data and generates new value for businesses. Oracle Machine Learning makes it easier to create and deploy machine learning models for data scientists by using AutoML technology and reducing data movement. It also simplifies deployment. Apache Zeppelin notebook technology, which is open-source-based, can increase developer productivity and decrease their learning curve. Notebooks are compatible with SQL, PL/SQL and Python. Users can also use markdown interpreters for Oracle Autonomous Database to create models in their preferred language. No-code user interface that supports AutoML on Autonomous Database. This will increase data scientist productivity as well as non-expert users' access to powerful in-database algorithms to classify and regression. Data scientists can deploy integrated models using the Oracle Machine Learning AutoML User Interface.

A tool for offline annotation of images. Object detection and segmentation. Draw polygons, cubic Bezier curves, lines segments, and points. Draw bounding boxes oriented in aerial images. Draw keypoints using a skeleton. Draw pixels using brushes and superpixels. Read/write in PASCAL VOC xml or YOLO text format. Export to CreateML object classification and image classification formats. Export to COCO Labelme YOLO DOTA CSV formats. Export grayscale and color mask images. Fast settings for objects, attributes and labeling. Label dialog can be customized to combine with attributes. One-click buttons make it easier to select the object name. Auto-suggest is available for more than 5000 different object names. Search object, attribute and image names using a gallery view. Automatic labeling with Core ML models. Automatic text recognition using OCR. Video to image frames, enhance images, etc. Support English, Chinese and Korean.

UBIAI's powerful labeling platform makes it easy to quickly train and deploy your NLP model. To train a high-performance model, it is important to preserve the layout of semi-structured text like invoices and contracts. UBIAI's OCR function combines natural language processing with computer vision. It allows you to perform NER and relation extraction on native PDF documents. You can also scan images or photos from your phone and perform classification annotation. This will significantly improve your NLP model performance. UBIAI's text annotation tool allows you to perform named entity recognition (NER), document classification, and relation extraction all from one interface. UBIAI allows you to create multiple relations in nested or overlapping entities, unlike other tools.

IMSL numerical libraries can improve performance and reduce development time. IMSL's tools allow you to achieve your strategic goals. Your IMSL library can be used to model regression, create decision trees, build neural networks, forecast time series, and make decisions. The IMSL C Numerical Library has been proven reliable and robust across all industries. It provides companies with a high-ROI solution to building cutting-edge analytics tools. The IMSL C Numerical Library is able to quickly add sophisticated functionality to your analytic applications, including data mining, forecasting, and advanced statistical analysis. Integration and deployment are easy with the IMSL C library. Easy migrations, support common platforms and combination of platforms, and no additional infrastructure to embed in applications or databases, all possible with the IMSL C library.

If you already have a favorite set of indicators, but no profitable trading rules to go with them, pattern recognition by an artificial neural networks may be the answer. Neural networks analyze indicators, recognize patterns that are too complex to visualize and predict and forecast market movement. They then generate trading rules using these patterns, predictions and forecasts. NeuroShell Trader’s proprietary fast-training 'Turboprop 2’ neural network eliminates the need for neural network experts. Inserting neural networks is as simple as inserting indicators. NeuroShell Trader is a point-and-click trading system that allows you to create automated trading systems based upon technical analysis indicators and market forecasts based on neural networks without any programming.

GPT-4 (Generative Pretrained Transformer 4) a large-scale, unsupervised language model that is yet to be released. GPT-4, which is the successor of GPT-3, is part of the GPT -n series of natural-language processing models. It was trained using a dataset of 45TB text to produce text generation and understanding abilities that are human-like. GPT-4 is not dependent on additional training data, unlike other NLP models. It can generate text and answer questions using its own context. GPT-4 has been demonstrated to be capable of performing a wide range of tasks without any task-specific training data, such as translation, summarization and sentiment analysis.

The Microsoft award-winning GeneXproTools is a flexible modeling tool that can be used for classification, logistic regression, regression, regression, time series prediction, logic synthesis, and regression. GeneXproTools is easy to use. Simply import your data and click the Start button to create a great model. GeneXproTools comes in five editions: Standard, Advanced Professional, Professional, Enterprise, and Home. For students and education institutions, the Academic Versions are half-off. GeneXproTools is capable of processing datasets with thousands of variables and extracting the most important features and relationships. GeneXproTools is a user-friendly program that makes it easy to access all types of data, from raw text files to Excel spreadsheets and databases. To create accurate and powerful models, you don't have to be proficient in any programming language.

Neural Designer is a data-science and machine learning platform that allows you to build, train, deploy, and maintain neural network models. This tool was created to allow innovative companies and research centres to focus on their applications, not on programming algorithms or programming techniques. Neural Designer does not require you to code or create block diagrams. Instead, the interface guides users through a series of clearly defined steps. Machine Learning can be applied in different industries. These are some examples of machine learning solutions: - In engineering: Performance optimization, quality improvement and fault detection - In banking, insurance: churn prevention and customer targeting. - In healthcare: medical diagnosis, prognosis and activity recognition, microarray analysis and drug design. Neural Designer's strength is its ability to intuitively build predictive models and perform complex operations.

Transcribe audio and video to text with domain-specific speech recognition. How it works. SpeechText.AI is an artificial intelligence software that converts speech to text and allows audio transcription. Upload audio and video files. AI transcription software can transcribe speech to text in all file formats. Select domain. Select an industry domain and an audio type from predefined categories. This will improve the recognition accuracy for domain-specific words. Transcribe. Our speech transcription engine uses state of the art deep neural network models to convert audio to text with near human accuracy. Edit and Export Use interactive editing tools to search, modify, and verify audio transcriptions. Export your content in different formats. SpeechText.AI: Why SpeechText.AI A variety of features that will allow you to transcribe audio and video in just seconds. Speech recognition. Powerful speech to text technology. SpeechText.AI is fully GDPR compliant. All our physical servers are hosted in Europe (France) and we encrypt all your data sent between you and the service. SpeechText.AI is fully automated, hence your data is confidential and the process has no place for human-factor and other risks that manual transcription has.

Since over 20 years, our SPHERAes platform has been integrated to the most advanced technologies. This includes Artificial Intelligence (AI) forecasting. Supporting the interpretation and application of legislation and regulations. Supporting the organization of asset and process management. Supporting the evaluation and analysis of business operations, economic data and financial data. Supporting the integration of solutions (SPHERAes). Interfaces all existing management system and corrects any deficiencies. Analyzes external events and phenomena and integrates it. Integrates existing management system and covers inevitable gaps.

Amazon SageMaker JumpStart can help you speed up your machine learning (ML). SageMaker JumpStart gives you access to pre-trained foundation models, pre-trained algorithms, and built-in algorithms to help you with tasks like article summarization or image generation. You can also access prebuilt solutions to common problems. You can also share ML artifacts within your organization, including notebooks and ML models, to speed up ML model building. SageMaker JumpStart offers hundreds of pre-trained models from model hubs such as TensorFlow Hub and PyTorch Hub. SageMaker Python SDK allows you to access the built-in algorithms. The built-in algorithms can be used to perform common ML tasks such as data classifications (images, text, tabular), and sentiment analysis.

The VLFeat open-source library implements popular computer visual algorithms, specializing in image comprehension and local features extraction and match. There are many algorithms available, including VLAD, Fisher Vector, SIFT and MSER, k–means, hierarchical K-means and agglomerative Information Bottleneck, SLIC Superpixels, quick shift Superpixels, large-scale SVM training, and many more. It is written in C to ensure efficiency and compatibility. There are interfaces in MATLAB that make it easy to use and detailed documentation. It is compatible with Windows, Mac OS X, Linux, and other platforms. MatConvNet is a MATLAB Toolbox that implements Convolutional Neural Networks for computer vision applications. It is easy to use, efficient, and can learn and run state-of the-art CNNs. There are many pre-trained CNNs available for image classification, segmentation and face recognition.

Gain deeper insights, better understand your customers, manage risk, create new products and be more productive. CMR+ does not use templating. It can read, understand, and organise data from handwriting, signatures, tables, and images, regardless of how they arrive. CMR+ is fast and accurate, pre-processing low quality documents for great results. CMR+ can handle complexity. It uses Machine Learning and Deep Learning to "understand" context. Intelligent Document Processing has made a significant leap forward with CMR+. It can handle any type of document. CMR+ employs cutting-edge AI such as Deep Learning, Natural Language Processing, Machine Vision and Machine Learning (ML). It also includes sentiment analysis and named-entity correlation.

NeuralTools is a data mining program that makes accurate predictions based on patterns in your data. It uses neural networks in Microsoft Excel to create sophisticated predictions. NeuralTools mimics brain functions to "learn" structure and make intelligent predictions. NeuralTools allows your spreadsheet to "think" for yourself like never before. A Neural Networks analysis involves three steps: training the network using your data, testing it for accuracy and making predictions using new data. NeuralTools automates all of this in a single step. NeuralTools updates your predictions automatically when input data changes. This means you don't need to manually run predictions each time you get new data. Combine NeuralTools with Excel's Solver or Palisade’s Evolver to optimize difficult decisions and reach your goals like no other Neural Networks packages can.

Glarity summary, a ChatGPT extension for YouTube/Google that summarizes YouTube videos and Google search results. It also supports Yahoo! ChatGPT is an OpenAI language model. It's a large pre-trained Transformer-based network designed to generate text that looks like human speech in response to prompts from users. It has been trained with a variety of internet text, and can respond to many topics, such as general knowledge questions, conversational answers, and creative writing. Glarity summary, a browser extension, displays a summary ChatGPT simultaneously in Google search results and displays a ChatGPT summary in YouTube. The extension is available for free. The extension supports PubMed, PMC NewsPicks, Github, Nikkei, Bing, Google Patents, and any other page. This extension requires a ChatGPT Account.

Character.AI brings science-fiction dreams of open-ended conversations with computers to life. We are developing the next generation dialog agents. This includes a wide range of applications that span entertainment, education, and general question-answering. Our proprietary technology powers our dialog agents. It is based on large language models that were built with conversation in mind. Character.AI beta is built on neural language models. A supercomputer can read huge amounts of text and learn to anticipate what words will be next in any given situation. These models have many uses, including machine translation and auto-complete. Character.AI allows you to collaborate with the computer in order to create a dialog. You write one character's lines and the computer creates another character's lines. This gives you the illusion that your talking with the other character.

AI-powered classification can enhance your DLP cross-channel. Proofpoint Intelligent Classification & Protection is an AI-powered solution for classifying your critical business data. It accelerates your enterprise DLP program by recommending actions based on the risk. Our Intelligent Classification and Protection Solution helps you understand unstructured data at a fraction of what it takes with traditional approaches. It categorizes your files using an AI-model that has been pre-trained. It does this for both cloud-based and on-premises file repositories. Our two-dimensional classification gives you the business context and level of confidentiality you need to protect your data better in today's hybrid environment.

Our Natural Language Processing (NLP) APIs offer best-in-class accuracy at a reasonable rate and cover all aspects NLP under one roof. You can save weeks of time creating and training language models. Our best-in-class APIs will help you get your app developed. We provide the foundations for creating your own apps, such as chatbots, sentiment analysis, and more. Text classification across multiple domains and in more than 100 languages. Perform sentiment analysis. Your business grows when we grow. We have simplified pricing so that you can easily scale your business as it grows. This is ideal for developers who create apps or build proof of concept. Go to the Dashboard to get your API Key. This key should be placed in the header of any API calls. To get started with coding, you can use our SDK in the language that you prefer. You can also refer to the 18 auto-generated code blocks.

The service filters out bots without affecting response time. We use ML models that are trained on datasets with data from many years of experience protecting Yandex's web resources. The datasets are updated regularly. The service generates images independently and does not use pre-made images. This allows it to maintain a human recognition rate of 85% while making it harder for bots to recognise the CAPTCHA. SmartCaptcha runs on the Yandex Cloud, which is compliant with international standards and Russian laws regarding information security. Verify your website without the "I am not a bot" button. Only users who make requests that look suspicious will see the invisible captcha. You can select the level of complexity for the texts that are generated by the service.

DRILLER is an advanced deep analytics tool which allows for the digitization of insurance portfolios and drilling down into them by analyzing both structured and unstructured information. Improved understanding of the portfolio composition and durability. Reserve release faster to reduce solvency capital requirements. The tool is powered artificial intelligence models which support the analysis of portfolios and claims and predict adverse development of a claimed (severity scores). Early identification of potential claims that are under- or over-reserved. Searchable documents and claims, with a detailed understanding on portfolio composition. Identification of characters, number, and sentiment. Classification of documents and identification of claim attributes. Review and prioritization for critical claims that need immediate action. Full automated analysis of portfolio.