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

Federated Learning Library: https://fedml.ai

Evaluate three types of task shifting with popular continual learning algorithms.

Continual Learning tutorials and demo running on Google Colaboratory.

A collection of incremental learning paper implementations.

A clean and simple library for Continual Learning

CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

A brain-inspired version of generative replay for continual learning with deep neural networks (class-incremental learning on CIFAR-100; PyTorch code).

1'st Place approach for CVPR 2020 Continual Learning Challenge

Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch

A pytorch compatible data loader to create sequence of tasks for Continual Learning

ContinualAI Wiki: a collaborative wiki on Continual/Lifelong Machine Learning

Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"

ContinualAI official website

Continual learning of neural networks with 11 state-of-the-art methods and 4 baselines. Codebase of the continual learning survey: "A continual learning survey: Defying forgetting in classification tasks." arXiv preprint arXiv:1909.08383 (2019)."

Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)

What I consider the best practices for web and software development.

NeuroData's package for exploring and using progressive learning algorithms

Steven C. Y. Hung, Jia-Hong Lee, Timmy S. T. Wan, Chein-Hung Chen, Yi-Ming Chan and Chu-Song Chen. "Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning" 2019 ACM on International Conference on Multimedia Retrieval

(NeurIPS, 2020) Meta-Consolidation for Continual Learning

Interpreting Bayesian inference as continual learning with a CNN

Continual Reinforcement Learning in 3D Non-stationary Environments

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

AR1* with Latent Replay, implemented in PyTorch

#WORK IN PROGRESS PyTorch Implementation of Supervised and Deep Q-Learning EWC(Elastic Weight Consolidation), introduced in "Overcoming Catastrophic Forgetting in Neural Networks"

Paper reading list

Normalization Matters in Zero-Shot Learning

Keras-based framework for implementing continual learning methods.