kangzhiling

elan

The Lean version manager

PrimeNumberTheoremAnd

blueprint for prime number theorem and more

lean4

Lean 4 programming language and theorem prover

interpret

Fit interpretable models. Explain blackbox machine learning.

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

ensemble-methods-notebooks

A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)

mlfrm

vision

Datasets, Transforms and Models specific to Computer Vision

sionna

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

causality4ml

把因果思维融入机器学习中

sakurai-go

Misc programs for Sakurai Modern Quantum Mechanics

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

WassersteinGAN

practical-pytorch

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

practice-in-paddle

《神经网络与深度学习》案例与实践

the-fucking-github

A Chrome extension for Github. View starred repositories, organizing stars, searching stars and searching repositories online for Github。

Open-Sora

Open-Sora: Democratizing Efficient Video Production for All

minisora

MiniSora: A community aims to explore the implementation path and future development direction of Sora.

Open-Sora-Plan

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

XAgent

An Autonomous LLM Agent for Complex Task Solving

applinalgcode

Code for the book "Linear algebra, signal processing, and wavelets. A unified approach"

ThinkDSP

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

wooldridge

A Python package containing 111 data sets of Introductory Econometrics: A Modern Approach (7th ed, J.M. Wooldridge)

wooldridge

The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.

causalgraphicalmodels

Causal Graphical Models in Python

probml-utils

Utilities for probabilistic ML

langchain

🦜🔗 Build context-aware reasoning applications

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.