🌊 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, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, with CPU, Intel XPU, and NVIDIA CUDA support.
PyCIL: A Python Toolbox for Class-Incremental Learning
(CVPR 2021 Oral) Open World Object Detection
An Incremental Learning, Continual Learning, and Life-Long Learning 仓库
🎉 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 clean and simple data loading library for Continual Learning
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).
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
TPAMI 2026 | This repository collects awesome survey, resource, and paper for lifelong learning LLM agents
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22
Continual Hyperparameter Selection Framework. 比较s 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.
[ACM Computing Surveys 2025] This repository collects awesome survey, resource, and paper for Lifelong Learning with Large Language Models. (Updated Regularly)
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