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imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

lhy_machine_learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

lightweight-gan

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

llama

Inference code for LLaMA models

memseg-onnxruntime-cpp

memseg-tootouch

Unofficial Re-implementation of MemSeg for Anomaly Detection

memseg-youngsjjn

memory-based semantic segmentation for off-road unstructured natural environments

metnet3-pytorch

Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmpretrain

OpenMMLab Pre-training Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

ocr-gan

Source code of "Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection"

opencv-learn

padavan-for-wr1200js

Padavan 自动编译

paddle-learn

pspnet-pytorch

这是一个pspnet-pytorch的源码，可以用于训练自己的模型。

python-tutorials

机器学习相关教程

repvgg

RepVGG: Making VGG-style ConvNets Great Again

retinaface-facenet-pytorch

这是一个利用facenet和retinaface实现人脸识别的库，可以进行在线的人脸识别。

retinaface-pytorch

这是一个retinaface-pytorch的源码，可以用于训练自己的模型。

sd-webui-easyphoto

📷 EasyPhoto | Your Smart AI Photo Generator.

segformer-pytorch

这是一个segformer-pytorch的源码，可以用于训练自己的模型。

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.

siamese-pytorch

这是一个孪生神经网络（Siamese network）的库，可进行图片的相似性比较。

sql

srgan-pytorch

这是一个srgan-keras的源码，可以用于训练自己的模型。

ssd-pytorch

这是一个ssd-pytorch的源码，可以用于训练自己的模型。

stable-diffusion

这是一个stable-diffusion的库。

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.