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Swap Raydium
An on-chain order book AMM powering the evolution of DeFi
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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.
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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.
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Bottle: Python Web Framework — Bottle 0.14-dev documentation
Bottle is a fast, simple and lightweight WSGI micro web-framework for Python.
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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
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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
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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
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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
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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.
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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
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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
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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
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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
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JustPy
An object-oriented, component based, high-level Python Web Framework that requires no front-end programming
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Introduction - Beam
🚧 Activate a Python Virtual Environment (Recommended) 📝 Register API Token and Install SDK · activate, python, virtual, environment, recommended
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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
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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
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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
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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
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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.
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v2.raydium.io
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Ray - Join the Ray community!
A community for discussing the Ray project
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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
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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
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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
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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
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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
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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
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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.
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ObjectReef - Model-driven Developement platform
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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
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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.
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Introduction - Docs
Convert AI workflows and agents developed in Python into web applications
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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
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Python
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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
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rays.org
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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.
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ray2015.de
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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
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pythonadelai.de