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86 search results found

Avalanche ⭐ 1,583

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Continual Learning ⭐ 1,190

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

(CVPR 2021 Oral) Open World Object Detection

PyCIL: A Python Toolbox for Class-Incremental Learning

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

Mammoth ⭐ 424

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

Continuum ⭐ 343

A clean and simple data loading library for Continual Learning

Library for automatic retraining and continual learning

Incremental_learning.pytorch ⭐ 210

A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).

Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

Continual Learning Baselines ⭐ 189

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

Pycontinual ⭐ 185

PyContinual (An Easy and Extendible Framework for Continual Learning)

Brain Inspired Replay ⭐ 169

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

Continual Learning Benchmark ⭐ 158

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

Lamda Pilot ⭐ 134

🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

Online Continual Learning ⭐ 133

A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).

[CVPR2022] Representation Compensation Networks for Continual Semantic Segmentation

Shift Dev ⭐ 75

SHIFT Dataset DevKit - CVPR2022

Cvpr2021_plop ⭐ 75

Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

Dm_nevis ⭐ 71

NEVIS'22: Benchmarking the next generation of never-ending learners

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

Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

Continuallm ⭐ 55

An Extensible Continual Learning Framework Focused on Language Models (LMs)

L2p Pytorch ⭐ 53

Pytorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22

Avalanche Rl ⭐ 51

Avalanche fork adding RL support

Openvae_continuallearning ⭐ 49

Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

Episodic Lifelong Learning ⭐ 49

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

Class Incremental Learning ⭐ 48

PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).

Continual Learning Benchmark ⭐ 42

Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance techniques vary with a domain other than images.

(CVPR 2022) Energy-based Latent Aligner for Incremental Learning

Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"

Codes for the paper: Continual Learning for Text Classification with Information Disentanglement Based Regularization

Generative_continual_learning ⭐ 33

Continual Clip ⭐ 30

Official repository for "CLIP model is an Efficient Continual Learner".

Dualprompt Pytorch ⭐ 29

Pytorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System""

Continual_learning_data_former ⭐ 28

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

Ucsa_neural_rendering ⭐ 26

[CVPR 2023] Unsupervised Continual Semantic Adaptation through Neural Rendering

[EMNLP 2022] Continual Training of Language Models for Few-Shot Learning

Random Memory Adaptation ⭐ 25

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

RecSys 2020 Best Short Paper

Cssegmentation ⭐ 23

CSSegmentation: An Open Source Continual Semantic Segmentation Toolbox Based on PyTorch.

InCloud: Incremental Learning for Point Cloud Place Recognition IROS2022 https://arxiv.org/abs/2203.00807

Stable Continual Learning ⭐ 21

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

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

Metalifelonglanguage ⭐ 19

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

Continualprototypeevolution ⭐ 18

Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastreams. Includes implementation of the Pseudo-Prototypical Proxy (PPP) loss.

Lifelong Learning ⭐ 16

Lifelong Learning of Graph Neural Networks for Open-World Node Classification

Code for paper: A Neural Span-Based Continual Named Entity Recognition Model

Continualevaluation ⭐ 14

[Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.

Iclr23 Memo ⭐ 14

The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch

(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"

A PyTorch framework for Continual Learning research.

Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks

Reminder ⭐ 12

Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation

Bayesian_cnn_continuallearning ⭐ 12

Interpreting Bayesian inference as continual learning with a CNN

Variational Auto-Regressive Gaussian Processes for Continual Learning

Cvpr20_clvision_challenge ⭐ 12

1'st Place approach for CVPR 2020 Continual Learning Challenge

PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"

Implementation of CLAD: A Continual Learning benchmark for Autonomous Driving. A continual classification and detectin track. Provides pure PyTorch, Avalanche and Detectron2 implementations.

Lifelongsentclass ⭐ 10

Code for ECML/PKDD 2020 Paper --- Continual Learning with Knowledge Transfer for Sentiment Classification

A Pytorch Tutorial To Class Incremental Learning ⭐ 10

a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.

Incremental_prompting ⭐ 10

[COLING2022] Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection

Cnll Continual_learning_noisy_labels ⭐ 10

Official Implementation of CVPR 2022 workshop paper "CNLL: A Semi-supervised Approach for Continual Noisy Label Learning"

Official Repository for the ICML 2023 paper "BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning"

Continual Learning Malware ⭐ 10

This repository contains code and data of the paper **On the Limitations of Continual Learning for Malware Classification**, accepted to be published at the First Conference on Lifelong Learning Agents (CoLLAs).

PyTorch code for continual learning of cardiac signals with CLOPS

[EMNLP2022] Released code for paper "Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition"

Ar1 Pytorch ⭐ 8

AR1* with Latent Replay, implemented in PyTorch

Gcab Cfdc ⭐ 8

Official Implementation of the paper "Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation"

Unified Continual Learning ⭐ 7

[NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm

Online Coreset Selection for Rehearsal-based Continual Learning, ICLR 2022

Subspace Reg ⭐ 6

Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification

Continualnat ⭐ 6

M.Sc. thesis on Continual Learning for Non-Autoregressive Neural Machine Translation

Policy Distillation Baselines ⭐ 6

Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.

Official implementation of "RODEO: Replay for Online Object Detection", BMVC 2020

Continual Learning utilities

Official repo for "Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach"

Multitask_modelzoo ⭐ 5

Implementation of https://arxiv.org/abs/2106.03027

Fine Grained Continual Learning ⭐ 5

Implementation of AR1* and CWR* Continual Learning techniques for the NICv2 scenario

Companion repository for the paper "Continual Self-supervised Domain Adaptation for End-to-end Speaker Diarization"

Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"

Key Indicator_prediction ⭐ 5

Prediction Method of Key Indicators of Industrial Process based on Deep Learning

[ECCV 2022] Few-shot class incremental learning on 3D point clouid objects

Continual_learning_with_vit ⭐ 5

Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"

Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs, ISWC 2022

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