deep-learning

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

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

An open source library and framework for deep learning on satellite and aerial imagery.

[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Basic Utilities for PyTorch Natural Language Processing (NLP)

Collect some World Models for Autonomous Driving (and Robotic, etc.) papers.

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Controllable and fast Text-to-Speech for over 7000 languages!

A high-level machine learning and deep learning library for the PHP language.

开源社区第一个能下载、能运行的中文 LLaMA2 模型！

🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch

Jupyter notebooks for using & learning Keras

Official repository of the xLSTM.

The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

PyTorch implementation of adversarial attacks [torchattacks]

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks