Google Colab Integrations

Codeium is the modern code superpower. It's a free AI-powered code acceleration toolkit. Codeium currently provides AI-generated autocomplete in more than 20 programming languages (including Python and JS, Java, TS, Java and Go) and integrates directly to the developer's IDE (VSCode, JetBrains or Jupyter notebooks. Colab, Vim / Neoovim, etc. Codeium generates multiline code suggestions in a matter of seconds. This will eliminate the need to search for APIs and documentation, write boilerplate and unit test scripts, and many other tedious or frustrating tasks. Codeium is a training platform that allows you to quickly develop on billions of lines. It also helps you stay in the flow and lets you become the best coder you can be.

Access and access management today have become more complex and frustrating. strongDM redesigns access around the people who need it, making it incredibly simple and usable while ensuring total security and compliance. We call it People-First Access. End users enjoy fast, intuitive, and auditable access to the resources they need. Administrators gain precise controls, eliminating unauthorized and excessive access permissions. IT, Security, DevOps, and Compliance teams can easily answer who did what, where, and when with comprehensive audit logs. It seamlessly and securely integrates with every environment and protocol your team needs, with responsive 24/7 support.

Open-source web application, the Jupyter Notebook, allows you to create and share documents with live code, equations, and visualizations. Data cleaning and transformation, numerical modeling, statistical modeling and data visualization are just a few of the many uses.

Available in more than 20 programming languages, including Python, JavaScript and TypeScript, Ruby, TypeScript, Go, Ruby and many others. BLACKBOX AI code search was created so that developers could find the best code fragments to use when building amazing products. Integrations with IDEs include VS Code and Github Codespaces. Jupyter Notebook, Paperspace, and many more. C#, Java, C++, C# and SQL, PHP, Go and TypeScript are just a few of the languages that can be used to search code in Python, Java and C++. It is not necessary to leave your coding environment in order to search for a specific function. Blackbox allows you to select the code from any video and then simply copy it into your text editor. Blackbox supports all programming languages and preserves the correct indentation. The Pro plan allows you to copy text from over 200 languages and all programming languages.

You can access, share, or access your files from any device. The first 15GB of storage is free. Drive Enterprise allows businesses to only pay for the storage that employees use. It works seamlessly with Microsoft Office and comes with Google Docs and Sheets. You can store photos, stories and designs, drawings, recordings, videos and more. Google Accounts come with 15GB of storage for your first 15GB. You can access your files in Drive from any smartphone, tablet or computer. Your files will follow you wherever you go. You can quickly invite others and allow them to download, view, and collaborate on any files you wish. Get started with Drive free of charge

G Suite has just gotten better -- Google Workspace (previously G Suite) is now available. All the tools you need to accomplish anything, all in one place. Google Workspace is an integrated workspace that's easy to use. It allows you to spend less time managing your work, and more time actually doing it. Google Workspace helps you focus on what's most important and lets you let Google do the rest. It uses best-in-class search technology and AI to help you work smarter. You can work from anywhere and on any device, even offline, with tools that help you integrate, customize, extend, and adapt Google Workspace to your team's needs. All Google Workspace plans offer a customized email for your business, similar to G Suite. It also includes collaboration tools such as Gmail, Calendar and Meet, Chat. There are many plans available that can be tailored to your business's needs. Find the right plan for your business on our pricing and plans page.

GitHub is the most trusted, secure, and scalable developer platform in the world. Join millions of developers and businesses who are creating the software that powers the world. Get the best tools, support and services to help you build with the most innovative communities in the world. There's a free option for managing multiple contributors: GitHub Team Open Source. We also have GitHub Sponsors that help you fund your work. The Pack is back. We have partnered to provide teachers and students free access to the most powerful developer tools for the school year. Work for a government-recognized nonprofit, association, or 501(c)(3)? Receive a discount Organization account through us.

VPVision is a complete energy monitoring solution that monitors all utilities in your company. VPVision software allows you to see the true cost of all utilities and make informed decisions about your investments and costs. You can access your data from anywhere with the latest web technology. You can add channels, customize dashboards and create your own reports to analyze your savings and make them transparent. VPVision is your guide to energy savings. VPVision makes energy saving simple, quick, and rewarding. It makes it possible to view data from anywhere using the latest web technology. VPVision analyzes flow data to reveal your savings potential. VPVision allows you to see all utility costs, including steam, compressed air, technical gas, steam, natural gas and electricity, as well as wastewater, heating fuels and heating fuels. VPVision is flexible and adaptable and can be used by small and large companies as well as those in growth.

Meta's MusicGen, an open-source deep learning language model, can generate short pieces based on text. The model was trained using 20,000 hours worth of music, including full tracks and individual instrument samples. MusicGen can produce about 12 seconds of audio based on a text description.

Neptune.ai, a platform for machine learning operations, is designed to streamline tracking, organizing and sharing of experiments, and model-building. It provides a comprehensive platform for data scientists and machine-learning engineers to log, visualise, and compare model training run, datasets and hyperparameters in real-time. Neptune.ai integrates seamlessly with popular machine-learning libraries, allowing teams to efficiently manage research and production workflows. Neptune.ai's features, which include collaboration, versioning and reproducibility of experiments, enhance productivity and help ensure that machine-learning projects are transparent and well documented throughout their lifecycle.

Voxel51, the company behind FiftyOne is responsible for the open-source software that allows you to create better computer vision workflows through improving the quality of datasets and delivering insights into your models. Explore, search and slice your datasets. Find samples and labels quickly that match your criteria. FiftyOne offers tight integrations to public datasets such as COCO, Open Images and ActivityNet. You can also create your own datasets. Data quality is one of the most important factors that affect model performance. FiftyOne can help you identify, visualize and correct the failure modes of your model. Annotation errors lead to bad models. But finding mistakes manually is not scalable. FiftyOne automatically finds and corrects label mistakes, so you can curate better-quality datasets. Manual debugging and aggregate performance metrics don't scale. Use the FiftyOne Brain for edge cases, new samples to train on, and more.

DeOldify offers a modern way to colorize images in black-and white. You can test it now by visiting Google Colab's free notebook for photos and videos. The notebooks are available to everyone and open source. Check out the GitHub archive and project to see how DeOldify has evolved. Please contact us for examples of the latest work in colorization and restoration. DeOldify's best version is only available on MyHeritage. MyHeritage offers several options to ensure that all your photos look the best in color. Start your free trial to share these vibrant images and delight your family and friends.

HyperCrawl, the first web crawler specifically designed for LLM and RAG application development, develops powerful retrieval engine. We wanted to speed up retrieval by reducing the crawl time for domains. We used multiple advanced methods to build a web crawler that is ML-first. It does not wait for each page to load individually (like standing in a grocery store line), but instead requests multiple web pages simultaneously (like placing several online orders at once). It can then move on to other tasks without wasting time. The crawler can handle several tasks at once by setting a high concurrency. This speeds up the process when compared to only handling a few tasks. HyperLLM saves time and resources by reusing the existing connections. Imagine reusing your shopping bag rather than buying a new one each time.

In no time, you can go from simple web applications to production-ready ones. No compromises on performance, customization and scalability. Taipy optimizes rendering by caching graphical events and enhancing performance. Taipy's decimator for charts intelligently reduces the number of datapoints to save memory and time without losing the essence. Every data point requires processing, resulting in slow performance and excessive memory usage. Large datasets can be cumbersome and complicate data analysis. Taipy Studio makes it easy to create scenarios. A powerful VS Code Extension that unlocks a convenient graphical Editor. You can schedule your methods to be invoked at certain times or intervals. You can choose from a wide range of predefined themes, or create your own.

TensorBoard, TensorFlow’s comprehensive visualization toolkit, is designed to facilitate machine-learning experimentation. It allows users to track and visual metrics such as accuracy and loss, visualize the model graph, view histograms for weights, biases or other tensors over time, display embeddings in a lower-dimensional area, and display images and text. TensorBoard also offers profiling capabilities for optimizing TensorFlow programmes. These features provide a suite to help understand, debug and optimize TensorFlow, improving the machine learning workflow. To improve something in machine learning, you need to be able measure it. TensorBoard provides the measurements and visualisations required during the machine-learning workflow. It allows tracking experiment metrics, visualizing model graphs, and projecting embedded embeddings into a lower-dimensional space.

DagsHub, a collaborative platform for data scientists and machine-learning engineers, is designed to streamline and manage their projects. It integrates code and data, experiments and models in a unified environment to facilitate efficient project management and collaboration. The user-friendly interface includes features such as dataset management, experiment tracker, model registry, data and model lineage and model registry. DagsHub integrates seamlessly with popular MLOps software, allowing users the ability to leverage their existing workflows. DagsHub improves machine learning development efficiency, transparency, and reproducibility by providing a central hub for all project elements. DagsHub, a platform for AI/ML developers, allows you to manage and collaborate with your data, models and experiments alongside your code. DagsHub is designed to handle unstructured data, such as text, images, audio files, medical imaging and binary files.

The first agentic interface, and more. The Windsurf editor is where developers and AI work together seamlessly, allowing a coding environment that feels like magic. The Windsurf Editor was designed to work the way AI should with humans. All the features you love about Codeium, plus unmatched performance. A user experience that keeps your in the flow. The Windsurf editor is powered by AI that can work with you as a copilot or independently tackle complex tasks like an agent. The AI is in complete sync with you at every step. Flows enable the AI and dev to be in sync at all times. This creates a mind-melding experience that goes beyond an assistant. Cascade combines a deep understanding of codebases, a wide range of advanced tools and a real time awareness of your actions to create a powerful, seamless and collaborative flow. It is the most powerful AI-powered coding tool.

80% of enterprise information is in formats that are difficult to use, such as HTML, PDFs, CSVs, PNGs, PPTXs, and others. Unstructured extracts and transforms data in a way that is compatible with all major vector databases and LLM frameworks. Unstructured allows data analysts to pre-process large amounts of data, so they can spend less time cleaning and collecting data and more time modeling. Our enterprise-grade connectors can capture data from anywhere, and then transform it into AI friendly JSON files. This is perfect for companies that are looking to integrate AI into their business. Unstructured delivers data that is curated, free of artifacts and, most importantly, LLM ready.

RagaAI is a leading AI testing platform which helps enterprises to mitigate AI risks, and make their models reliable and secure. Intelligent recommendations will reduce AI risk across cloud or edge deployments, and optimize MLOps cost. A foundation model designed specifically to revolutionize AI testing. You can easily identify the next steps for fixing dataset and model problems. AI-testing methods are used by many today, and they increase time commitments and reduce productivity when building models. They also leave unforeseen risks and perform poorly after deployment, wasting both time and money. We have created an end-toend AI testing platform to help enterprises improve their AI pipeline and prevent inefficiencies. 300+ tests to identify, fix, and accelerate AI development by identifying and fixing every model, data and operational issue.

It works with Jupyter Notebooks or any other Python environment. Modelbit will deploy your model and all its dependencies to production by calling modelbi.deploy. Modelbit's ML models can be called from your warehouse just as easily as a SQL function. They can be called directly as a REST-endpoint from your product. Modelbit is backed up by your git repository. GitHub, GitLab or your own. Code review. CI/CD pipelines. PRs and merge request. Bring your entire git workflow into your Python ML models. Modelbit integrates seamlessly into Hex, DeepNote and Noteable. Modelbit lets you take your model directly from your cloud notebook to production. Tired of VPC configurations or IAM roles? Redeploy SageMaker models seamlessly to Modelbit. Modelbit's platform is available to you immediately with the models that you have already created.

You can make changes to your models quickly and easily by turning on the black box, pip installing 3LC. Iterate quickly and remove the guesswork in your model training. Visualize per-sample metrics in your browser. Analyze and fix issues in your dataset by analyzing your training. Interactive data debugging, guided by models. Find out which samples are important or inefficient. Understanding what samples work well and where your model struggles. Improve your model in different ways by weighting your data. Make sparse and non-destructive changes to individual samples or a batch. Keep track of all changes, and restore previous revisions. Data tracking and metrics per-sample, per-epoch will allow you to go deeper than standard experiment trackers. To uncover hidden trends, aggregate metrics by sample features rather than epoch. Each training run should be tied to a specific revision of the dataset for reproducibility.

Gemini models are a family of light-open, state-of-the art models that was created using the same research and technology as Gemini models. These models include comprehensive security measures, and help to ensure responsible and reliable AI through selected data sets. Gemma models have exceptional comparative results, even surpassing some larger open models, in their 2B and 7B sizes. Keras 3.0 offers seamless compatibility with JAX TensorFlow PyTorch and JAX. Gemma 2 has been redesigned to deliver unmatched performance and efficiency. It is optimized for inference on a variety of hardware. The Gemma models are available in a variety of models that can be customized to meet your specific needs. The Gemma models consist of large text-to text lightweight language models that have a decoder and are trained on a large set of text, code, or mathematical content.

A Chrome extension that runs your analytics apps. MinusX provides the fastest way to gain insights from data. Interact with MinusX for modifications or extensions to existing notebooks. Select a section and ask questions or request modifications. MinusX integrates with your existing analytics tools, such as Jupyter Notebooks Metabase Tableau etc. You can create analyses with minusx and instantly share the results with your team. MinusX has nuanced privacy controls. All data you share will be used to create better, more accurate models. We never share any of your data with third-parties. MinusX integrates seamlessly with existing tools. This means you will never have to leave your workflow to answer a question. MinusX is able to select the appropriate action for each context because actions are first class entities. Currently we support Claude Sonnet 3.5 and GPT-4o. We are also working to allow you to bring your own models.

ClaimBuster is a project umbrella that includes all projects related to fact-checking for the IDIR Lab. It began as an attempt to create an AI model capable of automatically detecting claims that were worth checking. Since then, it has made steady progress towards the holy-grail of automated truth-checking. ClaimBuster has a wide range of users, including journalists. However, anyone who is interested in combating misinformation can use it. Our API allows easy access to our models. You can register for a free API Key and gain access. ClaimBuster was made possible by the contributions of human data-labeling. Sign up for an Account and start labeling to help improve our models. We've also opened-sourced the code for our machine learning models, so if your are an AI expert feel free to contribute there too. Our claim-spotting algorithm re-tweets any tweets that it believes may need to be fact-checked.

You can quickly write code by translating your comments to code. This example shows how you can quickly create a Plotly Bar chart. You can quickly create entire functions without needing to search for parameters or library methods. This example shows how to load df from AWS bucket in parquet format. CodeSquire will allow you to create SQL queries. All you need to do is provide simple instructions about what you want to pull and join. CodeSquire can help you understand code from another person. Simply ask CodeSquire to explain the function and get your explanation in plain English. CodeSquire can help with complex functions that require multiple logic steps. You can brainstorm with it by starting small and adding more complex features along the way.