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

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

A collection of incremental learning paper implementations.

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

A clean and simple library for Continual Learning

Incremental learning of word embeddings with context informativeness.

The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

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

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

Elastic weight consolidation technique for incremental learning.

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

Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'

1'st Place approach for CVPR 2020 Continual Learning Challenge

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

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

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)."

Code for paper "Object landmark discovery through unsupervised adaptation"

A PyTorch implementation of the ECCV 2018 publication "Memory Aware Synapses: Learning what (not) to forget"

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

(NeurIPS, 2020) Meta-Consolidation for Continual Learning

The official repository (in PyTorch) for the ECCV 2020 paper "Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference".

Adds partial fit method to sklearn's forest estimators to allow incremental training without being limited to a linear model. Works with Dask-ml's Incremental.

[ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels

🔎 📄 SpExtor: Sparse Entity Extractor

AR1* with Latent Replay, implemented in PyTorch

Sentiment Analysis with Incremental Learning

Code release for "GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions", ICCV 2019