sender666 Goto Github PK

align_uniform

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.

ancor

Fine-grained Angular Contrastive Learning with Coarse Labels - Official Repository

bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

bevt

PyTorch implementation of BEVT (CVPR 2022) https://arxiv.org/abs/2112.01529

cdfsl-benchmark

(ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System

cfa

Class-Incremental Learning via Knowledge Amalgamation - ECML PKDD 2022

commonfeaturelearning

(IJCAI 2019) Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning

confidnet

Addressing Failure Prediction by Learning Model Confidence

contrastive-clustering

Code for the paper "Contrastive Clustering" (AAAI 2021)

deepemd

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

domain_specific_cl

Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fewshot-can

Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).

groupmixformer

GroupMixAttention and GroupMixFormer

gwtune

hello-world

play a joke on myself

howtolivelonger

程序员延寿指南 | A programmer's guide to live longer

image_forgery_detection

Reproduced Code for Image Forgery Detection papers.

interspeech2021_mtda

the code for interspeech2021 submission

kdep

(CVPR2022) Official PyTorch Implementation of KDEP. Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability

maximize-representation-gap

Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples

mdistiller

A Knowledge Distillation Toolbox. The official implementation of https://arxiv.org/abs/2203.08679

medicalzoopytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

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.

mot

Approximative algorithms for computing sparse Wasserstein-2 multi-marginal optimal transport plans and associated free support barycenters.

otfusion

Model Fusion via Optimal Transport, NeurIPS 2020

pcs-fuda

Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"

pico

PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984

pycil

PyCIL: A Python Toolbox for Class-Incremental Learning