interest repositories

Hyperparameter Experiments with TensorFlow and Keras

End-to-End Incremental Learning

Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]

Grok open release

Tensorflow implementation of Dynamic Few-Shot Visual Learning without Forgetting by Gidaris & Komodakis

Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

Implementation of Learning without Forgetting paper

This is the Pytorch implementation of LwF

A machine learning experiment

Continual Learning papers list, curated by ContinualAI

a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch

Awesome Incremental Learning

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).

This project is to showcase how to use Knowledge distillation technique to develop incremental learning system.This is a implementation of the paper https://arxiv.org/abs/1811.08051.

PyCIL: A Python Toolbox for Class-Incremental Learning

This repository contains a DB creator and a classifier of Power Quality Disturbances

Power Quality Disturbances Deep Learning Experiments

Practical Deep Learning for Time Series / Sequential Data using fastai1/ Pytorch

[ECCV2020] Knowledge Distillation Meets Self-Supervision