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  1. Swap Raydium
    An on-chain order book AMM powering the evolution of DeFi
  2. Scale Machine Learning & AI Computing | Ray by Anyscale
    Ray is an open source framework for managing, executing, and optimizing compute needs. Unify AI workloads with Ray by Anyscale. Try it for free today.
  3. Anyscale | Production-Ready AI with Ray
    Powered by Ray, Anyscale empowers AI builders to run and scale all ML and AI workloads on any cloud and on-prem.
  4. Bottle: Python Web Framework — Bottle 0.14-dev documentation
    Bottle is a fast, simple and lightweight WSGI micro web-framework for Python.
  5. Ray Tune: Hyperparameter Tuning — Ray 2.53.0
    Tune is a Python library for experiment execution and hyperparameter tuning at any scale. You can tune your favorite machine learning framework (PyTorch, XGBoost, TensorFlow and Keras, and more) by running state of the… · tune, function, hyperparameter, machine, learning
  6. beampipe docs
    Beampipe is a web analytics tool that aims to be easy, powerful and privacy-conscious. Here are a few of the features we offer right out of the box: Beampipe is a web analytics tool that aims to be easy, powerful and… · beampipe, web, analytics, tool, aims
  7. Raylib Ruby
    Create 2D and 3D applications, games, and visualizations with ease. Just a few lines of code is enough to get started. See what you can build! · create, applications, games, visualizations, ease
  8. Open Machine Learning
    1000s of data sets, uniformly formatted, easy to load, organized online Models and pipelines automatically uploaded from machine learning libraries Extensive APIs to integrate OpenML into your tools and scripts · models, 1000s, data, sets, uniformly
  9. REX-Ray
    As a completely open and community driven project, REX-Ray is the leading container storage orchestration engine enabling persistence for cloud native workloads.
  10. Baishakhi Ray | Baishakhi Ray
    I lead research at the intersection of AI and Software Engineering, with a particular focus on AI for Code. My work explores how neurosymbolic techniques—blending the power of machine learning with the rigor of formal… · code, work, learning, software, reasoning
  11. Consortium for Python Data API Standards
    Read our announcement, 2022 array API standard release and dataframe API standard RFC blog posts and tell us what you think! We aim to solve hard problems, without introducing new ones. Careful consideration of use cases… · api, standard, array, dataframe, read
  12. Ruby Grape | An opinionated framework for creating REST-like APIs in Ruby.
    An opinionated framework for creating REST-like APIs in Ruby. Community Projects Grape ecosystem projects. Examples Working projects using Grape. · grape, projects, ruby, opinionated, framework
  13. Make AI Apps | H2O Wave
    No HTML, CSS, Javascript skills required. Build rich, interactive web apps using pure Python. Broadcast live information, visualizations and graphics using Wave's low-latency realtime server. Instant control over every… · web, apps, using, build, live
  14. JustPy
    An object-oriented, component based, high-level Python Web Framework that requires no front-end programming
  15. Introduction - Beam
    🚧 Activate a Python Virtual Environment (Recommended) 📝 Register API Token and Install SDK · activate, python, virtual, environment, recommended
  16. Beamline
    Beamline is a framework designed to facilitate the prototyping and the development of streaming process mining algorithms. The framework comprises two libraries: pyBeamline (Python) and Beamline (Java). pyBeamline is… · process, beamline, mining, files, event
  17. GitHub - lukasmasuch/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
    🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. - lukasmasuch/best-of-ml-python
  18. EarthML — EarthML 0.2.1 documentation
    Machine learning and visualization in Python for Earth science Python offers a wide variety of open-source libraries covering a huge range of functionality, but it can be difficult to work out which libraries are… · earth, libraries, python, science, machine
  19. EarthML — EarthML 0.2.1 documentation
    Machine learning and visualization in Python for Earth science Python offers a wide variety of open-source libraries covering a huge range of functionality, but it can be difficult to work out which libraries are… · earth, libraries, python, science, machine
  20. Ray Summit 2025
    Powered by Ray, Anyscale empowers AI builders to run and scale all ML and AI workloads on any cloud and on-prem.
  21. v2.raydium.io
  22. Ray - Join the Ray community!
    A community for discussing the Ray project
  23. Welcome | N|Solid Documentation
    An enhanced Node.js runtime built for X-Ray vision into your mission-critical applications. The complete Node.js application platformbuilt for performance, security, and reliability. A powerful, intuitive interface for… · node, critical, applications, enhanced, runtime
  24. RLlib: Industry-Grade, Scalable Reinforcement Learning — Ray 3.0.0.dev0
    RLlib is an open source library for reinforcement learning (RL), offering support for production-level, highly scalable, and fault-tolerant RL workloads, while maintaining simple and unified APIs for a large variety of… · rllib, running, production, simple, industry
  25. Root – Django REST framework
    The documentation for the Open Science Framework API can be found at developer.osf.io. The contents of this endpoint are variable and subject to change without notification. · documentation, open, science, framework, api
  26. Rayst Gradients
    A Collection of 64 Beautiful Gradients Generated by AI. All gradients can be downloaded and used for free Commercial and non-commercial purposes No permission needed (though attribution is appreciated.) · gradients, commercial, collection, beautiful, generated
  27. Dashboard — XRAY/App
    XRAY/App is a cutting-edge DeFi ecosystem built on the Cardano blockchain platform, offering a comprehensive suite of tools and features to empower users in decentralized finance. Designed with scalability and innovation… · xray, app, ecosystem, users, decentralized
  28. 3.14.2 Documentation
    Welcome! This is the official documentation for Python 3.14.2. What's new in Python 3.14? Or all "What's new" documents since Python 2.0 Tutorial Start here: a tour of Python's syntax and features · python, syntax, library, reference, language
  29. Anyscale | Production-Ready AI with Ray
    Powered by Ray, Anyscale empowers AI builders to run and scale all ML and AI workloads on any cloud and on-prem.
  30. ObjectReef - Model-driven Developement platform
  31. MLtraq
    The open-source Python library for ML & AI developers to design, execute and share experiments. Track anything, stream, reproduce, collaborate, and resume the computation state anywhere. Blazing fast: The fastest… · python, experiments, using, open, computation
  32. Scaling Python ML | Blog of my adventures working with different tools for scaling Python ML workloads.
    Blog of my adventures working with different tools for scaling Python ML workloads.
  33. Introduction - Docs
    Convert AI workflows and agents developed in Python into web applications
  34. HiGlass Python — HiGlass 0.1.dev1+g650809c4f documentation
    higlass-python is an interactive Python interface for HiGlass. It provides functionality for composing and visualizing view configurations. See the Getting Started section for an overview of the provided functionality. · higlass, python, functionality, interactive, interface
  35. Python
    19 �������� 2006 ���� ������ Python 2.5 �������� ������ FINAL. ��� ��������� � ���� ������ � ��������� � 2.4 ����� �������� �����. ������������, ��� ���� �������� ����� 350-�� �������� � ���������� ����� 450-� ������. 18… · python, 2006, final, 350, 450
  36. Ray Serve: Scalable and Programmable Serving — Ray 2.52.1
    Ray Serve is a scalable model serving library for building online inference APIs. Serve is framework-agnostic, so you can use a single toolkit to serve everything from deep learning models built with frameworks like… · serve, ray, models, model, serving
  37. rays.org
  38. Anyscale | Production-Ready AI with Ray
    Powered by Ray, Anyscale empowers AI builders to run and scale all ML and AI workloads on any cloud and on-prem.
  39. ray2015.de
  40. PODPAC — 3.2.0+3.gb2780d4a
    Pipeline for Observational Data Processing Analysis and Collaboration PODPAC is a python library that builds on the scientific python ecosystem to enable simple, reproducible geospatial analyses that run locally or in… · data, processing, podpac, python, geospatial
  41. pythonadelai.de