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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
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".
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
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
Pytorch implementation of convolutional neural network visualization techniques
A faster pytorch implementation of faster r-cnn
Object detection, 3D detection, and pose estimation using center point detection:
Minimal PyTorch implementation of YOLOv3