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Tensor library for machine learning

Most advanced XSS scanner.

A community Bash framework.

The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.

Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.14. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.

Beyond file syncing and sharing, a new way to organize your files with extensible file properties and flexible views

Empower the Web community and invite more to build across platforms.

This repository contains the source code for the paper First Order Motion Model for Image Animation

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Python version of the Playwright testing and automation library.

Logstash - transport and process your logs, events, or other data

SciPy library main repository

A multi-voice TTS system trained with an emphasis on quality

A computer algebra system written in pure Python

Unified framework for building enterprise RAG pipelines with small, specialized models

Video editing with Python

Pyodide is a Python distribution for the browser and Node.js based on WebAssembly

Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态，完全开源可商用

Image augmentation for machine learning experiments.

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

NLTK Source

FauxPilot - an open-source alternative to GitHub Copilot server

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Universal File Online Preview Project based on Spring-Boot

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

WebGL2 powered visualization framework

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

A toolkit for making real world machine learning and data analysis applications in C++