rh97-code

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

stable-diffusion-webui

Stable Diffusion web UI

CV

本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络，图像生成网络等，并会持续更新！！！

DANTE

Implementation of Manuscript "Training large-scale optoelectronic neural networks with dual-neuron optical-artificial learning"

DAT_MPNN

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

Diffractive-Deep-Neural-Networks

Diffraction Deep Neural Networks(D2NN)

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

opencv_example

some examples of OpenCV

algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.