YuanWanglll

ALFA

Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"

Awesome-Incremental-Learning

Awesome Incremental Learning

AWGIM

Code for paper "Attentive Weights Generation for Few Shot Learning via Information Maximization"

BBN

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

Best-Incremental-Learning

An Incremental Learning, Continual Learning, and Life-Long Learning Repository

cdfsl-benchmark

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

CMC

"Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

continual_learning_papers

Relevant papers in Continual Learning

DeepInversion

Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)

few-shot-domain-adaptation-by-causal-mechanism-transfer

Implementation for Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)

fscil

Official repository for Few-Shot Class-Incremental Learning (FSCIL)

FSL-DAPNA

Code for FSL model DAPNA (ICML2020).

google-research

Google Research

Heterogeneous-Domain-Generalization-via-Domain-Mixup

Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'

incremental_learning.pytorch

A collection of incremental learning paper implementations.

JigenDG

Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

meta-transfer-learning

TensorFlow and PyTorch implementations of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

MMT

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

negative-margin.few-shot

PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”

OKDDip-AAAI2020

This is a PyTorch-1.0 implementation for the AAAI-2020 paper (Online Knowledge Distillation with Diverse Peers).

PCS-FUDA

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

PyCIL

PyCIL: A Python Toolbox for Class-Incremental Learning

rddc2020

road damage detection challenge 2020

RePRI-for-Few-Shot-Segmentation

(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

rfs

RoadDamageDetector

SDC-IL

Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

SKD

SKD : Self-supervised Knowledge Distillation for Few-shot Learning