Stars
All Algorithms implemented in Python
Models and examples built with TensorFlow
《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。
2025年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenMMLab Detection Toolbox and Benchmark
PyTorch Tutorial for Deep Learning Researchers
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Image-to-Image Translation in PyTorch
PyTorch implementations of Generative Adversarial Networks.
Datasets, Transforms and Models specific to Computer Vision
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
End-to-End Object Detection with Transformers
Image augmentation for machine learning experiments.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
The official GitHub page for the survey paper "A Survey of Large Language Models".
A paper list of object detection using deep learning.
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Fast and Accurate ML in 3 Lines of Code
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
A PyTorch implementation of EfficientNet