xialeiliu / Awesome-Incremental-Learning
Awesome Incremental Learning
☆4,039Updated last week
Alternatives and similar repositories for Awesome-Incremental-Learning:
Users that are interested in Awesome-Incremental-Learning are comparing it to the libraries listed below
- PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Class…☆1,699Updated 3 weeks ago
- An Incremental Learning, Continual Learning, and Life-Long Learning Repository☆580Updated 11 months ago
- PyCIL: A Python Toolbox for Class-Incremental Learning☆922Updated 2 weeks ago
- Relevant papers in Continual Learning☆727Updated last year
- Avalanche: an End-to-End Library for Continual Learning based on PyTorch.☆1,882Updated last month
- An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learni…☆671Updated 3 weeks ago
- Continual Learning papers list, curated by ContinualAI☆628Updated last year
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,268Updated last year
- Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。☆2,577Updated last year
- A collection of AWESOME things about domian adaptation☆5,265Updated 6 months ago
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.☆548Updated last year
- A curated list of awesome papers on dataset distillation and related applications.☆1,633Updated this week
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,268Updated 7 months ago
- PyTorch implementation of Contrastive Learning methods☆1,979Updated last year
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,838Updated 11 months ago
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆4,970Updated this week
- A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recog…☆1,138Updated last year
- Awesome Knowledge Distillation☆3,661Updated last month
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,253Updated last year
- Evaluate three types of task shifting with popular continual learning algorithms.☆517Updated 4 years ago
- A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility☆1,932Updated 2 years ago
- A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), S…☆402Updated last year
- A curated list of resources for Learning with Noisy Labels☆2,678Updated this week
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,394Updated last year
- DomainBed is a suite to test domain generalization algorithms☆1,495Updated 4 months ago
- A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.☆1,313Updated last year
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,240Updated 6 months ago
- Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)☆3,485Updated 3 months ago
- A curated list of Multimodal Related Research.☆1,348Updated last year
- [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods☆2,321Updated last year