gaosde's repositories
GroupMixFormer
GroupMixAttention and GroupMixFormer
CFA
Class-Incremental Learning via Knowledge Amalgamation - ECML PKDD 2022
Mini-batch-OT
A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, color transfer, and gradient flow.
S2SNet
Repo for S2SNet
PiCO
PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984
HowToLiveLonger
程序员延寿指南 | A programmer's guide to live longer
mdistiller
A Knowledge Distillation Toolbox. The official implementation of https://arxiv.org/abs/2203.08679
KDEP
(CVPR2022) Official PyTorch Implementation of KDEP. Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability
BEVT
PyTorch implementation of BEVT (CVPR 2022) https://arxiv.org/abs/2112.01529
TMC
The project page of paper: Trusted Multi-View Classification [ICLR'2021 paper]
mot
Approximative algorithms for computing sparse Wasserstein-2 multi-marginal optimal transport plans and associated free support barycenters.
SimMIM
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
renet
[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification
Image_Forgery_Detection
Reproduced Code for Image Forgery Detection papers.
SSDA_MME
Semi-supervised Domain Adaptation via Minimax Entropy
align_uniform
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.
MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
ConfidNet
Addressing Failure Prediction by Learning Model Confidence
unbalanced_gromov_wasserstein
Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
Contrastive-Clustering
Code for the paper "Contrastive Clustering" (AAAI 2021)
domain_specific_cl
Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"
vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
PCS-FUDA
Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"
Unsupervised-Classification
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]