Trending AI reposUpdated daily from GitHub

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

Caffe2 is a lightweight, modular, and scalable deep learning framework.

BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes

Trax — Deep Learning with Clear Code and Speed

Pytorch implementation of convolutional neural network visualization techniques

BertViz: Visualize Attention in Transformer Models

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 https://ai-jupyter.com

OpenMMLab Pose Estimation Toolbox and Benchmark.

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

Code for the paper "Jukebox: A Generative Model for Music"

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

A faster pytorch implementation of faster r-cnn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

Deep Learning Specialization by Andrew Ng on Coursera.

The cryptography-based networking stack for building unstoppable networks with LoRa, Packet Radio, WiFi and everything in between.

Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

A Collection of Variational Autoencoders (VAE) in PyTorch.

All course materials for the Zero to Mastery Machine Learning and Data Science course.

Using Low-rank adaptation to quickly fine-tune diffusion models.

Efficiently computes derivatives of NumPy code.

:fire: 2D and 3D Face alignment library build using pytorch

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

a cross-platform image super-resolution tool

A customisable 3D platform for agent-based AI research

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

SD.Next: All-in-one WebUI for AI generative image and video creation, captioning and processing

PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）

Flower: A Friendly Federated AI Framework

The "Python Machine Learning (2nd edition)" book code repository and info resource

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

VIP cheatsheets for Stanford's CS 230 Deep Learning

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

A log of things I'm learning

Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

Reading list for research topics in multimodal machine learning

AI实战-practicalAI 中文版

Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

Synthesizing and manipulating 2048x1024 images with conditional GANs

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

NYU Deep Learning Spring 2020