Jovian Integrations

Open source platform for machine learning. TensorFlow is a machine learning platform that is open-source and available to all. It offers a flexible, comprehensive ecosystem of tools, libraries, and community resources that allows researchers to push the boundaries of machine learning. Developers can easily create and deploy ML-powered applications using its tools. Easy ML model training and development using high-level APIs such as Keras. This allows for quick model iteration and debugging. No matter what language you choose, you can easily train and deploy models in cloud, browser, on-prem, or on-device. It is a simple and flexible architecture that allows you to quickly take new ideas from concept to code to state-of the-art models and publication. TensorFlow makes it easy to build, deploy, and test.

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.

Keras is an API that is designed for humans, not machines. Keras follows best practices to reduce cognitive load. It offers consistent and simple APIs, minimizes the number required for common use cases, provides clear and actionable error messages, as well as providing clear and actionable error messages. It also includes extensive documentation and developer guides. Keras is the most popular deep learning framework among top-5 Kaggle winning teams. Keras makes it easy to run experiments and allows you to test more ideas than your competitors, faster. This is how you win. Keras, built on top of TensorFlow2.0, is an industry-strength platform that can scale to large clusters (or entire TPU pods) of GPUs. It's possible and easy. TensorFlow's full deployment capabilities are available to you. Keras models can be exported to JavaScript to run in the browser or to TF Lite for embedded devices on iOS, Android and embedded devices. Keras models can also be served via a web API.

Code editing. Redefined Free. Open source. It runs everywhere. IntelliSense provides smart completions that go beyond syntax highlighting and autocomplete. It uses variable types, function definitions and imported modules to provide intelligent completions. You can debug code directly from the editor. You can attach or launch your apps, and debug with breakpoints, call stacks and an interactive console. It's never been easier to work with Git or other SCM providers. The editor allows you to review diffs and stage files, as well as make commits. Pull and push from any hosted SCM service. Want even more features? To add languages, themes, debuggers and connect to other services, install extensions. Extensions are separate processes that don't slow down your editor. Learn more about extensions. Microsoft Azure allows you to deploy and host your React (Angular), Vue, Node (and many more!) applications. Sites can store and query relational or document-based data and scale with serverless computing.

A fully-featured machine learning platform empowers enterprises to conduct real data science at scale and speed. You can spend less time managing infrastructure and tools so that you can concentrate on building machine learning applications to propel your business forward. Anaconda Enterprise removes the hassle from ML operations and puts open-source innovation at the fingertips. It provides the foundation for serious machine learning and data science production without locking you into any specific models, templates, workflows, or models. AE allows data scientists and software developers to work together to create, test, debug and deploy models using their preferred languages. AE gives developers and data scientists access to both notebooks as well as IDEs, allowing them to work more efficiently together. They can also choose between preconfigured projects and example projects. AE projects can be easily moved from one environment to the next by being automatically packaged.

Telegram messages can self-destruct and are highly encrypted. Telegram allows you to access your messages from multiple devices. Telegram delivers messages quicker than any other app. Telegram servers are distributed worldwide for security reasons and speed. Telegram offers an open API and protocol that is available to everyone. Telegram is available for free for all time. No ads. No subscription fees. Telegram servers are distributed worldwide for speed and security. Telegram offers an open API and protocol that is available to everyone. Telegram is available for free for all time. No ads. No subscription fees. Telegram protects your messages from hackers. Telegram does not limit the size of your media or chats. Spread the word about Telegram to make messaging safer again.

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.

Slack, a cloud-based project collaboration software solution that facilitates communication between teams, is designed to seamlessly integrate with other organizations. Slack offers powerful tools and services all integrated into one platform. It provides private channels for interaction within smaller teams, direct channels for sending messages to colleagues, as well as public channels that allow members to start conversations across organizations. Slack is available on Mac, Windows and Android as well as iOS apps. It offers a variety of features including chat, file sharing and collaboration, real-time notifications and two-way audio/video, screen sharing, document imaging and activity tracking and logging.

All the Python tools in one location. PyCharm will take care of the routine, saving you time. To make the most of PyCharm's productivity features, you should focus on the important things. PyCharm has all the information you need about your code. PyCharm can help you with intelligent code completion, quick error checking and quick fixes, project navigation, and many other things. The IDE allows you to write clean and maintainable code and helps you maintain control of quality with PEP8 tests, testing assistance and smart refactorings. PyCharm was created by programmers for programmers to give you all the tools you need to create Python code. PyCharm offers smart code completion, code inspections and quick-fixes. It also includes automated code refactorings.

Apache Spark™, a unified analytics engine that can handle large-scale data processing, is available. Apache Spark delivers high performance for streaming and batch data. It uses a state of the art DAG scheduler, query optimizer, as well as a physical execution engine. Spark has over 80 high-level operators, making it easy to create parallel apps. You can also use it interactively via the Scala, Python and R SQL shells. Spark powers a number of libraries, including SQL and DataFrames and MLlib for machine-learning, GraphX and Spark Streaming. These libraries can be combined seamlessly in one application. Spark can run on Hadoop, Apache Mesos and Kubernetes. It can also be used standalone or in the cloud. It can access a variety of data sources. Spark can be run in standalone cluster mode on EC2, Hadoop YARN and Mesos. Access data in HDFS and Alluxio.