Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,663 results
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
[ICCV 2019] Monocular depth estimation from a single image
Machine Learning and Agentic AI Resources, Practice and Research
Torchreid: Deep learning person re-identification in PyTorch.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
A PyTorch Implementation of Single Shot MultiBox Detector
ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation
😎 Finding duplicate images made easy!
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Train and evaluate embeddings for similarity search with PyTorch. Includes contrastive losses, hard example mining, samplers, and retrieval metrics.
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
Synthesizing and manipulating 2048x1024 images with conditional GANs
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Your new Mentor for Data Science E-Learning.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Image-to-Image Translation in PyTorch
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
24,545 repositories in the index in total.
