An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & TIS & vLLM & Ray & Async RL)

Minimal reproduction of DeepSeek R1-Zero

verl: Volcano Engine Reinforcement Learning for LLMs

At LinkedIn, we are using this curriculum for onboarding our entry-level talents into the SRE role.

You like pytorch? You like micrograd? You love tinygrad! ❤️

LLM Prompt Injection Detector

Stable Diffusion web UI

bloop is a fast code search engine written in Rust.

LLM inference in C/C++

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing…

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Profiles controller for the fine grained control of Kubeflow

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Use Log4Shell vulnerability to vaccinate a victim server against Log4Shell

zkSync: trustless scaling and privacy engine for Ethereum

Super simple build framework with fast, repeatable builds and an instantly familiar syntax – like Dockerfile and Makefile had a baby.

Implementation of ConvMixer for "Patches Are All You Need? 🤷"

☁️ Build multimodal AI applications with cloud-native stack

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

Topic Modelling for Humans

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

TensorFlow code and pre-trained models for BERT

Learn how to develop, deploy and iterate on production-grade ML applications.

💫 Industrial-strength Natural Language Processing (NLP) in Python

Oxford Deep NLP 2017 course

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Forte is a flexible and powerful ML workflow builder. This is part of the CASL project: http://casl-project.ai/