🌊 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

🎉 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).

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

TPAMI 2026 | This repository collects awesome survey, resource, and paper for lifelong learning LLM agents

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.

PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22

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[ACM Computing Surveys 2025] This repository collects awesome survey, resource, and paper for Lifelong Learning with Large Language Models. (Updated Regularly)

Elastic weight consolidation technique for incremental learning.

Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

(TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning

Online anomaly detection for data streams/ Real-time anomaly detection for time series data.

The Tornado :tornado: framework, designed and implemented for adaptive online learning and data stream mining in Python.

A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'

PyTorch implementation for the paper Class-incremental Novel Class Discovery (ECCV 2022)