Machine Learning · GitHub

Open source neural network chess engine with GPU acceleration and broad hardware support.

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

DL Backtrace is a new explainablity technique for deep learning models that works for any modality and model type.

• 🔍 Deep Model Interpretability: Gain comprehensive insights into your AI models using advanced relevance propagation algorithms
• 🎯 Multi-Task Support: Binary/Multi-class classification, object detection, segmentation, and text generation

A Python library for self-supervised learning and latent world models on images.

• Modular framework, which exposes low-level building blocks such as loss functions and model heads.
• Easy to use and written in a PyTorch-like style.

A Blender extension for code-less generation of synthetic image datasets for computer vision

• Distribution-Based Randomization: Define probability distributions for scene parameters using preset distributions and (work in progress) a visual node editor
• Pipeline Configuration: Build randomization pipelines by concatenating operations for object transforms, material properties, and lighting

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch

CVPR 2026 (Main) | MambaLiteUNet: Cross-Gated Adaptive Feature Fusion for Robust Skin Lesion Segmentation

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

• 🪄 Turn functions into production-ready services within seconds.
• 🔌 Auto-generated HTTP API based on FastAPI.