A topic-centric list of HQ open datasets.

✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Easily train a good VC model with voice data <= 10 mins!

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

llama3 implementation one matrix multiplication at a time

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

An annotated implementation of the Transformer paper.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

SoftVC VITS Singing Voice Conversion

基于Python的开源量化交易平台开发框架

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

Xray 基于 Nginx 的 VLESS + XTLS 一键安装脚本

ESC Team's scorecard tools

PRML algorithms implemented in Python

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

Chinese translation of Learn you a Haskell for great good

100 numpy exercises (100% complete)

Accompanying Source Code for the Haskell Data Analysis Cookbook

Kaggle competition: Caterpillar Tube Pricing

Multifarious scrapy examples.

Team o_O solution for the Kaggle Diabetic Retinopathy Detection Challenge

the 2nd place solution for West Nile Virus Prediction challenge on Kaggle

这份指南汇集了Swift语言主流学习资源，并以开发者的视角整理编排。

Skeleton code for doing the coursera machine learning course in the form of an ipython notebook.

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.