There are 22 repositories under incremental-learning topic.
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™
Evaluate three types of task shifting with popular continual learning algorithms.
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
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 an online continual learning survey (Neurocomputing).
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).
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22
Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'
A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.
Elastic weight consolidation technique for incremental learning.
Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
Online anomaly detection for data streams/ Real-time anomaly detection for time series data.
Incremental learning of word embeddings with context informativeness.
The code repository for "Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need" in PyTorch.
This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.
TiddlyMemo uses advanced Incremental Learning concepts to make it your powerful second brain for acquiring lifelong knowledge.
PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.
CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!
Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection(基于半监督密度聚类+增量学习的故障诊断)
Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019