wulingyu Goto Github PK

algorithms

全面的算法代码仓库

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

appflowy

AppFlowy is an open-source alternative to Notion. You are in charge of your data and customizations. Built with Flutter and Rust.

arnie

Python utility to estimate, compare, and reweight RNA energetics across many secondary structure algorithms.

autogluon

AutoGluon: AutoML for Image, Text, and Tabular Data

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

chatmol

ChatGPT in PyMOL now!

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

containerd

An open and reliable container runtime

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

detr

End-to-End Object Detection with Transformers

dm_tool

still unkonown

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

flutter-notebook

FlutterDemo合集，今天你fu了吗

frp

A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.

gnnpapers

Must-read papers on graph neural networks (GNN)

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

macosx-sdks

A collection of those pesky SDK folders: MacOSX10.1.5.sdk thru MacOSX11.3.sdk

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

numpy-ml

Machine learning, in numpy

pdb-tools

A dependency-free cross-platform swiss army knife for PDB files.

project-based-learning

Curated list of project-based tutorials

protein-science

A collection of useful tutorials for Protein Science

proxynt

基于Python实现的内网穿透工具, Expose your local services to the internet.

pymol-open-source

Open-source foundation of the user-sponsored PyMOL molecular visualization system.

pymol-script-repo

Collected scripts for Pymol

pyrosetta-basic

pyrosetta.notebooks

Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design