🌊 Online machine learning in Python
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Updated
Jun 19, 2025 - Python
🌊 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.
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
(CVPR 2021 Oral) Open World Object Detection
PyCIL: A Python Toolbox for Class-Incremental Learning
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
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.
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
A clean and simple data loading library for Continual Learning
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
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).
The efficient SMT-based context-bounded model checker (ESBMC)
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).
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.
This repository collects awesome survey, resource, and paper for lifelong learning LLM agents
PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)
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