TinnyFlames

deepxde

A library for scientific machine learning and physics-informed learning

Bigscity-LibCity

LibCity: An Open Library for Urban Spatial-temporal Data Mining

CLIP-SAM

Experiment on combining CLIP with SAM to do open-vocabulary image segmentation.

Tutorial-on-PhD-Application

Tutorial on PhD Application

nvim-config

Personal neovim configuration⚡🪟 - Fully configured for LaTeX, Python, Lua, C#, HTML, CSS, and Javascript - Neovim version: v0.9+

SuperpixelGCN-Segmentation

Superpixel-based Graph Convolutional Network for Semantic Segmentation

SEEK-A-Framework-of-Superpixel-Learning-with-CNN-Features-for-Unsupervised-Segmentation

EasyCV

An all-in-one toolkit for computer vision

CAE

This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

info-nce-pytorch

PyTorch implementation of the InfoNCE loss for self-supervised learning.

LibMTL

A PyTorch Library for Multi-Task Learning

simclr-pytorch

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

DAMA

Pytorch implementation of "DAMA - Multiplexed Immunofluorescence Brain Image Analysis Using Self-Supervised Dual-Loss Adaptive Masked Autoencoder"

HIPT

Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

solo-learn

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

gcmae

PyTorch implementation of GCMAE

data_diversification

Instruction to data diversification

mRASP

Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

github-host

auto get github host ip

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Transformer_for_medical_image_analysis

A collection of papers about Transformer in the field of medical image analysis.

Lhy_Machine_Learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

PORPOISE

Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

T2T-ViT

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

vision-transformer-pytorch

Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML project.

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