#Incremental-learning
Showing 17 of 17 repositories tagged #incremental-learning, ranked by stars
🌊 Online machine learning in Python
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.
Build computer vision models in a fraction of the time and with less data.
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
Evaluate three types of task shifting with popular continual learning algorithms.
The efficient SMT-based context-bounded model checker (ESBMC)
A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and survey (Neurocomputing).
Elastic weight consolidation technique for incremental learning.
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
[CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.
[ICLR 2025] Released code for paper "Spurious Forgetting in Continual Learning of Language Models"
Code repository for the work "Multi-Domain Incremental Learning for Semantic Segmentation", accepted at WACV 2022
CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!
[ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels
Prism: A Plug-in Reproducible Infrastructure for Scalable Multimodal Continual Instruction Tuning