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114 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).

Cl Slam ⭐ 101

Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning. http://continual-slam.cs.uni-freiburg.de

Cil_survey ⭐ 98

The code repository for "Deep Class-Incremental Learning: A Survey" in PyTorch.

[CVPR2022] Representation Compensation Networks for Continual Semantic Segmentation

Cvpr22 Fact ⭐ 88

The code repository for "Forward Compatible Few-Shot Class-Incremental Learning" (CVPR22) in PyTorch.

Shift Dev ⭐ 75

SHIFT Dataset DevKit - CVPR2022

Cvpr2021_plop ⭐ 75

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

This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.

Cvpr21_pass ⭐ 72

PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

Dm_nevis ⭐ 71

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

(TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning

Clsurvey ⭐ 61

Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.

Continual Knowledge Learning ⭐ 59

[ICLR 2022] Towards Continual Knowledge Learning of Language Models

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)

Revisitingcil ⭐ 53

The code repository for "Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need" in PyTorch.

L2p Pytorch ⭐ 53

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

Avalanche Rl ⭐ 51

Avalanche fork adding RL support

3D-OWIS is capable of detecting unknown instances in inference, and progressively learning novel classes in the process of training.

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.

Sigir2021_conure ⭐ 39

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Official Implementation of CVPR2021 paper: Continual Learning via Bit-Level Information Preserving

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

Generative_continual_learning ⭐ 33

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

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

Continuallearning ⭐ 31

[MICCAI 2023] Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

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

(NeurIPS 2020) Meta-Consolidation 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

Eccv22 Foster ⭐ 21

The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.

Stable Continual Learning ⭐ 21

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

Metalifelonglanguage ⭐ 19

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

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

Official Code Repository for "Gradient Projection Memory for Continual 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.

Influencecl ⭐ 18

[CVPR 2023] Regularizing Second-Order Influences for Continual Learning

Lifelong Learning ⭐ 16

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

Adam Nscl ⭐ 15

PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"

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.

"Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020

Remembering For The Right Reasons ⭐ 14

Official Implementation of Remembering for the Right Reasons (ICLR 2021)

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

Iclr23 Memo ⭐ 14

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

A PyTorch framework for Continual Learning research.

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

Bayesian_cnn_continuallearning ⭐ 12

Interpreting Bayesian inference as continual learning with a CNN

Variational Auto-Regressive Gaussian Processes for Continual Learning

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

Cvpr20_clvision_challenge ⭐ 12

1'st Place approach for CVPR 2020 Continual Learning Challenge

Reminder ⭐ 12

Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation

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

Efficient Cls ⭐ 11

[ICCV 2023] Label-Efficient Online Continual Object Detection in Streaming Video

Lifelongsentclass ⭐ 10

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

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

Lifelong Learning Pretraining And Sam ⭐ 10

Code for the paper "Mehta, S. V., Patil, D., Chandar, S., & Strubell, E. (2021). An empirical investigation of the role of pre-training in lifelong learning. arXiv preprint arXiv:2112.09153."

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"

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.

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"

EMNLP2022: Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation

Prompt_based_cl_milestone_implement ⭐ 7

Implement the Prompt-based CL milestone papers with pyotorch template style

Unified Continual Learning ⭐ 7

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

Continual ⭐ 6

Continual Learning of Electronic Health Records (EHR).

Continuallearning Sequentialprocessing ⭐ 6

Continual Learning with Gated Incremental Memories for Sequential Data Processing. IJCNN 2020. Continual Learning with Recurrent Neural Networks (RNNs) inspired by Progressive network architecture.

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

Continual Learning utilities

Official implementation of Deep Class Incremental Learning from Decentralized Data (IEEE TNNLS 22)

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