Xinghao Wang (王星皓)

GenericAgent. Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption

Vision-Language-Models-Overview. A most Frontend Collection and survey of vision-language model papers, and models GitHub repository. Continuous updates.

AutoAgent. "AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"

MLEvolve. MLEvolve is an open-source autonomous system for end-to-end machine learning algorithm design and optimization powered by progressive search and experience-driven memory.

Auto-claude-code-research-in-sleep. ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

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

pick-benchmark. This repository contains a benchmark of deep learning pickers

deepinv. DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning

Awesome-Flow-RL-Papers. A collection of paper/projects that trains flow matching model/policies via RL.

SeisMoLLM. Official Pytorch Implementation of [GRL] SeisMoLLM: Advancing Seismic Monitoring via Cross-modal Transfer with Pre-trained Large Language Model

flow_matching. A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

Awesome-Dataset-Distillation. A curated list of awesome papers on dataset distillation and related applications.

FlowAR. “FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching” FlowAR employs a simplest scale design and is compatible with any VAE.

RectifiedFlow. Official Implementation of Rectified Flow (ICLR2023 Spotlight)

pytorch-grad-cam. Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

AI_for_Science_paper_collection. List the AI for Science papers accepted by top conferences

awesome-bci. Curated Collection of BCI resources

Transformer-Explainability. [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

transformers. 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

OpenFWI. A collection of codes with OpenFWI project

gempy. GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.

SWIT. Seismic Waveform Inversion Toolbox

hugo-theme-academic-cv. 🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. 学术主页，AI 生成，Markdown 拥有 👇

Time-Series-Library. A Library for Advanced Deep Time Series Models for General Time Series Analysis.

cs230-code-examples. Code examples in pyTorch and Tensorflow for CS230

ccf-deadlines. ⏰ Agenticly track worldwide conference deadlines (Website, Python Cli, Wechat Applet)

seisbench. SeisBench - A toolbox for machine learning in seismology

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

annotated_deep_learning_paper_implementations. 🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

ml-visuals. 🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

free-programming-books-zh_CN. :books: 免费的计算机编程类中文书籍，欢迎投稿

pytorch-handbook. pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

opencsapp.github.io. Open CS Application | 开源CS申请