The Python micro framework for building web applications.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Accelerated deep learning R&D

Make websites accessible for AI agents

2025 AI/ML internship & new graduate job list updated daily

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

A Lightweight Recommendation System

Let AI be your browser operator.

Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.

A logical, reasonably standardized, but flexible project structure for MLops.

A playbook for systematically maximizing the performance of deep learning models.

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Open Source Computer Vision Library

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎

The Ultimate FREE Machine Learning Study Plan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

This is my personal submissions for the deep learning specialization offered on coursera and taught by Andrew Ng

Kolmogorov Arnold Networks

A pytorch implementation of several approaches using PINN to slove turbulent flow

Transparent and Efficient Financial Analysis

Machine learning and deep learning resources

Courses, Articles and many more which can help beginners or professionals.

Quantitative Finance book

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond