Hao Xin

paperclip. The open-source app everyone uses to manage agents at work

hermes-agent. The agent that grows with you

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

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

Gymnasium. A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

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

template. This is the repository for the distill web framework

atropos. Atropos is a Language Model Reinforcement Learning Environments framework for collecting and evaluating LLM trajectories through diverse environments

superpowers. An agentic skills framework & software development methodology that works.

toon. 🎒 Token-Oriented Object Notation (TOON) – compact, human-readable serialization of JSON data for LLM prompts. TypeScript SDK, CLI, benchmarks.

nanochat. The best ChatGPT that $100 can buy.

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

jaaz_pro. Python

vllm. A high-throughput and memory-efficient inference and serving engine for LLMs

trl. Train transformer language models with reinforcement learning.

llm_engineering. Repo to accompany my mastering LLM engineering course

InternVL. [CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型

atomic-agents. Building AI agents, atomically

autogen. A programming framework for agentic AI

gaussian-splatting. Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

MedSAM. Segment Anything in Medical Images

dify. Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

build-your-own-x. Master programming by recreating your favorite technologies from scratch.

MetaGPT. 🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

ai-hedge-fund. An AI Hedge Fund Team

GenAI_Agents. 50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

spring-ai-alibaba. Agentic AI Framework for Java Developers

AgentGPT. 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

storm. An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

Awesome-LLM-RAG. Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

DiffSinger. DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

Lumina-T2X. Lumina-T2X is a unified framework for Text to Any Modality Generation

ViTPose. The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"

emcee. The Python ensemble sampling toolkit for affine-invariant MCMC

simbody. High-performance C++ multibody dynamics/physics library for simulating articulated biomechanical and mechanical systems like vehicles, robots, and the human skeleton.

LLaVA. [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Awesome-Diffusion-Models. A collection of resources and papers on Diffusion Models

Depth-Anything. [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

ect. Consistency Models Made Easy

awesome-ai-agents. A list of AI autonomous agents

awesome-multiple-object-tracking. Resources for Multiple Object Tracking (MOT)

generative-models. Generative Models by Stability AI

llm-course. Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

consistency_models. Official repo for consistency models.

motion-diffusion-model. The official PyTorch implementation of the paper "Human Motion Diffusion Model"

boxmot. BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes

MiDaS. Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

OC_SORT. [CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.

ByteTrack. [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

devops-exercises. Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

FinRL. FinRL®: Financial Reinforcement Learning. 🔥

awesome-deep-trading. List of awesome resources for machine learning-based algorithmic trading

Deep-Reinforcement-Stock-Trading. A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

FinRL-Trading. FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading

ultralytics. Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

AlphaPose. Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

mmpose. OpenMMLab Pose Estimation Toolbox and Benchmark.

PythonDataScienceHandbook. Python Data Science Handbook: full text in Jupyter Notebooks

score_sde_pytorch. PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

score_sde. Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

ncsnv2. The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

guided-diffusion. Python

pytorch-image-models. The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

PyTorch-Encoding. A CV toolkit for my papers.

DPT. Dense Prediction Transformers

data. Data and code behind the articles and graphics at FiveThirtyEight

Precipitation-Nowcasting. pytorch implemention of trajGRU.

awesome-tensorflow. TensorFlow - A curated list of dedicated resources http://tensorflow.org

TensorFlow-Tutorials. TensorFlow Tutorials with YouTube Videos

TensorFlow-Examples. TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

pytorch-tutorial. PyTorch Tutorial for Deep Learning Researchers

data-science-ipython-notebooks. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

leetcode-linghu-templete. 算法面试必备，推荐刷题网站www.lintcode.com。北大学霸的《LeetCode刷题模板》+V领取: jiuzhangfeifei

awesome-quant. A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Quantitative-Notebooks. Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

f-EBM. Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020

pytorch-GAN-timeseries. GANs for time series generation in pytorch

KAIR. Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

Super-Resolution.Benckmark. Benchmark and resources for single super-resolution algorithms

PlotNeuralNet. Latex code for making neural networks diagrams

Stand-Alone-Self-Attention. Implementing Stand-Alone Self-Attention in Vision Models using Pytorch

senet.pytorch. PyTorch implementation of SENet

RIDNet. Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.

CBDNet. Code for "Toward Convolutional Blind Denoising of Real Photographs", CVPR 2019

awesome-satellite-imagery-datasets. 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

DnCNN. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

monodepth2. [ICCV 2019] Monocular depth estimation from a single image

DenseDepth. High Quality Monocular Depth Estimation via Transfer Learning

Python-100-Days. Python - 100天从新手到大师

style-based-gan-pytorch. Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch

sliced_score_matching. Code for reproducing results in the sliced score matching paper (UAI 2019)

refinenet-pytorch. RefineNet-101 VOC in PyTorch

pytorch-nyuv2. PyTorch NYUv2 Dataset Class

vaeac. Variational Autoencoder with Arbitrary Conditioning

pytorch-mnist-vae. Pytorch Implementation of variational auto-encoder for MNIST

examples. A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

generative_models. Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE

PyTorch-GAN. PyTorch implementations of Generative Adversarial Networks.

generative-models. Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

ncsn. Noise Conditional Score Networks (NeurIPS 2019, Oral)

variational-autoencoder. PyTorch implementation of "Auto-Encoding Variational Bayes"

s-vae-pytorch. Pytorch implementation of Hyperspherical Variational Auto-Encoders

semi-supervised-pytorch. Implementations of various VAE-based semi-supervised and generative models in PyTorch

pytorch-cifar. 95.47% on CIFAR10 with PyTorch

reproducible-image-denoising-state-of-the-art. Collection of popular and reproducible image denoising works.

MonoDepth-PyTorch. Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch

DORN. Jupyter Notebook

DORN_pytorch. PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation

MonoDepth-FPN-PyTorch. Single Image Depth Estimation with Feature Pyramid Network

FCRN. A Pytorch implement of 《Deeper Depth Prediction with Fully Convolutional Residual Networks》

self-supervised-depth-completion. ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

sparse-to-dense.pytorch. ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)