mygit007hub's repositories
cs-self-learning
计算机自学指南
bayesian-torch
Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable the user to perform stochastic variational inference in Bayesian deep neural networks
sequencer
Sequencer: Deep LSTM for Image Classification
complexPyTorch
A high-level toolbox for using complex valued neural networks in PyTorch
dul-pytorch
[2020-CVPR]Data Uncertainty Learning in Face Recognition
CV-Backbones
CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
Visualizer
assistant tools for attention visualization in deep learning
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
DSU
[ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference on Learning Representations (ICLR) 2022.
StableNet
Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".
UniFormer
official implementation of UniFormer
TorchSSL
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Dassl.pytorch
A PyTorch toolbox for domain adaptation and semi-supervised learning.
facenet-pytorch
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
Knowledge-Distillation-Zoo
Pytorch implementation of various Knowledge Distillation (KD) methods.
RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
awesome-semi-supervised-learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
pycls
Codebase for Image Classification Research, written in PyTorch.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
JigenDG
Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"
awesome-fast-attention
list of efficient attention modules
DeepHash-pytorch
Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.
NIR-ISL2021-Transfer-learning
Transfer learning for iris segmentation and localization in NIR-ISL 2021