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The NoteBook and Assignments implemention via Learning CS336 Spring 2026😛
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
We write your reusable computer vision tools. 💜
From classic NLP to modern LLMs: building language models step by step. 异步图书:《 GPT图解 大模型是怎样构建的》- 这套代码是AI Coder出现之前,自己用纯手工搭建的一套简单有效的NLP经典算法集合。在大语言模型推动的AI Coder兴起之后,很少有机会再创作这么有“手工风”的代码了,不知道这是值得开心还是值得…
The design language that makes your AI harness better at design.
This repo contains the Hugging Face Deep Reinforcement Learning Course.
A comprehensive guide to building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code…
Lua/Torch implementation of DQN (Nature, 2015)
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
ROS 2 from Scratch, published by Packt
Modern Computer Vision with PyTorch, published by Packt
Simple, unified interface to multiple Generative AI providers
Research Agent service for the Agentic Workflow course
ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration
Opinionated batteries-included starter kit optimized for building applications using AI coding tools
This repository contains `JPX Tokyo Stock Exchange Prediction`.
AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.
MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
A high-throughput and memory-efficient inference and serving engine for LLMs
Simulation platform for general-purpose robotics & embodied AI learning.