toil2sweet's repositories
Awesome-Incremental-Learning
Awesome Incremental Learning
lottery-jackpots
Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models
continual_learning_papers
Relevant papers in Continual Learning
PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
Best-Incremental-Learning
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
agem
Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
OWM
Code for Continual Learning of Context-dependent Processing in Neural Networks
FACIL
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
EFT
Class Incremental learning, Task Incremental Learning
convolutional-RVFL
Convolutional Random Vector Functional Link Network+
brain-inspired-replay
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
RPSnet
Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019
Gang-neuron
Dendrite Net: A White-Box Module for Classification, Regression, and System Identification: https://arxiv.org/abs/2004.03955. It may be time to improve the neuron of artificial neural network (IEEE preprints-IEEE preprints ranking （TechRxiv）: Top 1 in yearly popularity-You should cite it.): https://doi.org/10.36227/techrxiv.12477266
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-Benchmark
Evaluate three types of task shifting with popular continual learning algorithms.
deep-RVFL
Deep Random Vector Functional Link training function
ewc.pytorch
An implementation of EWC with PyTorch
BCI
Application of OWM Method on RNN Network
GradientEpisodicMemory
Continuum Learning with GEM: Gradient Episodic Memory
MAS-Memory-Aware-Synapses
Memory Aware Synapses method implementation code