HaoyangZheng

Kimi-K3. Open Frontier Intelligence

dLLM-RL. [ICLR 2026] Official code for TraceRL: Revolutionizing post-training for Diffusion LLMs, powering the SOTA TraDo series.

SDAR. SDAR (Synergy of Diffusion and AutoRegression), a large diffusion language model（1.7B, 4B, 8B, 30B）

Self-Correcting-Discrete-Diffusion. Python

LLM-Algorithm-Intern-Guide. 🚀 2026届大模型算法岗实习面经 | 包含 DeepSeek/Qwen 技术报告解析、手撕 PPO/RoPE/Transformer、RLHF 核心与八股文 | 持续更新中...

FAQ_Of_LLM_Interview. 大模型算法岗面试题(含答案):常见问题和概念解析 "大模型面试题"、"算法岗面试"、"面试常见问题"、"大模型算法面试"、"大模型应用基础"

cookbook. TypeScript

claude-code. Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands. All original source code is the property of Anthropic.

llama.cpp. LLM inference in C/C++

pyre-code. A self-hosted ML coding practice platform. 68 problems from ReLU to flow matching — attention, training, RLHF, diffusion, and more. Instant feedback in the browser.

nanoclaw. A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs directly on Anthropic's Agents SDK

autoresearch. AI agents running research on single-GPU nanochat training automatically

openclaw. Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

leetcode-master. 《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

Phys-Instruct. Python

self-llm. 《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

TinyLlama. The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

DeepSeek-OCR. Contexts Optical Compression

dllm. dLLM: Simple Diffusion Language Modeling

nanochat. The best ChatGPT that $100 can buy.

MeanFlow. PyTorch implementation of MeanFlow & iMF (one-step generative modeling).

dInfer. dInfer: An Efficient Inference Framework for Diffusion Language Models

jvp_flash_attention. Flash Attention Triton kernel with support for second-order derivatives

LLaDA. Official PyTorch implementation for "Large Language Diffusion Models"

Awesome-DLMs. The official GitHub repo for the survey paper "A Survey on Diffusion Language Models".

ProTDyn. Generative Protein Emulator

didi-instruct. [ICLR 2026] Discrete Diffusion Divergence Instruct (DiDi-Instruct)

awesome-discrete-diffusion-models. A curated list for awesome discrete diffusion models resources.

llada-pretrain-hf. A repository for pretraining a discrete diffusion model (llada), with all components built on the Hugging Face ecosystem.

Moonlight. Muon is Scalable for LLM Training

openr. OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

awesome-reward-models.

minimind. 🧠「大模型」2小时完全从0训练64M的小参数LLM！Train a 64M-parameter LLM from scratch in just 2h!

AIMLInterviews. This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

MLE-DS-Interview-Prep-Guide. This repo is meant to serve as a detailed guide for Machine Learning/AI interviews.

PANEL.

SSR-V2ray-Trojan. 2026机场推荐与机场评测

PRIME. Scalable RL solution for advanced reasoning of language models

verl. verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework

ts_ulmc. The GitHub repository for "Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo", AISTATS 2024.

r2SGLD. The GitHub repository for "Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics", ICML 2024

HomPINN. HomPINNs

stable-baselines3. PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

chainerrl. ChainerRL is a deep reinforcement learning library built on top of Chainer.

Kernel-stein-discrepancy-for-energy-based-model. Python

ksddescent. Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities

prompts.chat. f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

scientific-visualization-book. An open access book on scientific visualization using python and matplotlib

Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions. Solutions of Reinforcement Learning, An Introduction

arcface-pytorch. Python

HJQ. PyTorch Implementation of Hamilton-Jacobi DQN

prml. Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

reinforcement-learning-an-introduction. Python Implementation of Reinforcement Learning: An Introduction

AdvancedMath. This is a repository with material for the course Advanced Mathematics for Engineers

leetcode. LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

LeetCodeAnimation. Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路,完整单步/回看/变速/语音讲解在 algomooc.com）

PRML. PRML algorithms implemented in Python

pumpkin-book. 南瓜书：《机器学习》（西瓜书）公式详解

Machine-learning-learning-notes. 周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

Coursera-ML-AndrewNg-Notes. 吴恩达老师的机器学习课程个人笔记

DeepLearning-500-questions. 深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06