Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About

The Top 23 Catastrophic Forgetting Open Source Projects

Open source projects categorized as Catastrophic Forgetting
Categories > Catastrophic Forgetting
Best Incremental Learning ⭐ 457
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
most recent commit 5 months ago
Pycontinual ⭐ 185
PyContinual (An Easy and Extendible Framework for Continual Learning)
most recent commit a year ago
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).
most recent commit 3 years ago
Awesome Forgetting In Deep Learning ⭐ 104
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
most recent commit 5 months ago
Cil_survey ⭐ 98
The code repository for "Deep Class-Incremental Learning: A Survey" in PyTorch.
most recent commit a year ago
Cvpr22 Fact ⭐ 88
The code repository for "Forward Compatible Few-Shot Class-Incremental Learning" (CVPR22) in PyTorch.
most recent commit 8 months ago
Continuallm ⭐ 55
An Extensible Continual Learning Framework Focused on Language Models (LMs)
most recent commit a year ago
Revisitingcil ⭐ 53
The code repository for "Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need" in PyTorch.
most recent commit 10 months ago
Episodic Lifelong Learning ⭐ 49
Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch
most recent commit a year ago
Sigir2021_conure ⭐ 39
One Person, One Model, One World: Learning Continual User Representation without Forgetting
most recent commit 6 months ago
Il Semsegm ⭐ 38
Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019
most recent commit 4 years ago
Supportnet ⭐ 32
SupportNet: solving catastrophic forgetting in class incremental learning with support data
most recent commit 5 years ago
Tpami Limit ⭐ 26
The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.
most recent commit 8 months ago
Cpt ⭐ 26
[EMNLP 2022] Continual Training of Language Models for Few-Shot Learning
most recent commit a year ago
Random Memory Adaptation ⭐ 25
Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"
most recent commit 6 years ago
Incloud ⭐ 22
InCloud: Incremental Learning for Point Cloud Place Recognition IROS2022 https://arxiv.org/abs/2203.00807
most recent commit a year ago
Stable Continual Learning ⭐ 21
Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)
most recent commit 4 years ago
Ance Tele ⭐ 19
Code and data of the EMNLP 2022 Main Conference paper "Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives".
most recent commit 9 months ago
Universal_user_representation ⭐ 18
papers of universal user representation learning for recommendation
most recent commit 6 months ago
Mas Pytorch ⭐ 14
A PyTorch implementation of the ECCV 2018 publication "Memory Aware Synapses: Learning what (not) to forget"
most recent commit 5 years ago
Iclr23 Memo ⭐ 14
The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch
most recent commit a year ago
Cat ⭐ 13
Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
most recent commit 3 years ago
Expertnet Pytorch ⭐ 11
A PyTorch implementation of the CVPR 2017 publication "Expert Gate: Lifelong Learning with a Network of Experts"
most recent commit 5 years ago
Categories
Privacy | About | Terms | Follow Us On Twitter

Downloads, Dependent Repos, Dependent Packages, Total Releases, Latest Releases data powered by Libraries.io.

Copyright 2018-2024 Awesome Open Source.  All rights reserved.