WinnieLaugh's Stars
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
google-research/google-research
Google Research
huggingface/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
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
AliaksandrSiarohin/first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
aleju/imgaug
Image augmentation for machine learning experiments.
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
google-research/vision_transformer
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
jadore801120/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
facebookresearch/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
qubvel/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
google-research/simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
NVlabs/ffhq-dataset
Flickr-Faces-HQ Dataset (FFHQ)
facebookresearch/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
microsoft/torchscale
Foundation Architecture for (M)LLMs
SwinTransformer/Swin-Transformer-Object-Detection
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
google-research/fixmatch
A simple method to perform semi-supervised learning with limited data.
harlanhong/CVPR2022-DaGAN
Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
PatrickHua/SimSiam
A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'
ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post
365 Days Computer Vision Learning Linkedin Post
google-research/sam
vqdang/hover_net
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
hms-dbmi/CHIEF
Clinical Histopathology Imaging Evaluation Foundation Model
krishnabits001/domain_specific_cl
Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"
TissueImageAnalytics/CoNIC
CoNIC Challenge
Scu-sen/Human-Protein-Atlas---Single-Cell-Classification
shabbeersh/RCCNet
A CNN model which is responsible for classification of routine colon cancer cells.