Incremental-Learning

Awesome-Incremental-Learning

Awesome Incremental Learning

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).

Knowledge-Distillation-Keras-1

An easy approach on how to implement Knowledge Distillation on Keras

CVPR19_Incremental_Learning

Learning a Unified Classifier Incrementally via Rebalancing

distillation

Keras + tensorflow experiments with knowledge distillation on EMNIST dataset

End-to-End-Incremental-Learning

Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]

EndToEndIncrementalLearning

End-to-End Incremental Learning

incremental-learning

Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."

knowledge-distillation-keras

A machine learning experiment

structure_knowledge_distillation

The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.

agem

Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow

amis-editor-demo-vue

amis-editor-demo for vue

chatgpt-web

基于ChatGPT3.5 API实现的私有化web程序

EWC

TensorFlow implementation of Elastic Weight Consolidation

iccv2019-inc

ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

IL-SemSegm

Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019

incremental_learning

Initial Code for the paper "incremental learning through deep adaptation"

kdtf

Knowledge Distillation using Tensorflow

keras-imprinting

论文Low-Shot Learning with Imprinted Weights 的keras 版简要实现;

knowledge-distillation-keras-mnist

It is a simple demo for using knowledge distillation in mnist dataset

LargeScaleIncrementalLearning

MER

Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from the ICLR 2019 paper (https://openreview.net/pdf?id=B1gTShAct7)

MeRGAN

overcoming-catastrophic

Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow

OWM

Code for Continual Learning of Context-dependent Processing in Neural Networks

piggyback

Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

SupportNet

SupportNet: solving catastrophic forgetting in class incremental learning with support data