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agem

Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow

ar1-pytorch

AR1* with Latent Replay, implemented in PyTorch

atom

:atom: The hackable text editor

avalanche

Avalanche: a End-to-End Library for Continual Learning.

caffe

Caffe: a fast open framework for deep learning.

caffe-tensorflow

Caffe models in TensorFlow

capsnet

A PyTorch implementation of CapsNet based on Geoffrey Hinton's paper "Dynamic Routing Between Capsules"

capsule-net-pytorch

A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, DGR, LwF, Replay-through-Feedback).

continual-learning-benchmark

Evaluate three types of task shifting with popular continual learning algorithms.

core50

CORe50: a new Dataset and Benchmark for Continual Learning

deeplearningimplementations

Implementation of recent Deep Learning papers

evalai-starters

How to create a challenge on EvalAI?

ewc

TensorFlow implementation of Elastic Weight Consolidation

fine-grained-continual-learning

Implementation of AR1* and CWR* Continual Learning techniques for the NICv2 scenario

generative_continual_learning

gradientepisodicmemory

Continuum Learning with GEM: Gradient Episodic Memory

handbooks

This is a public repo with information about what kinds of things people put in lab handbooks.

icarl

icarl-1

PyTorch Implementation of iCaRL

imgclsmob

Sandbox for training convolutional networks for computer vision

incremental-learning

Pytorch implementation of the paper "Revisiting Distillation and Incremental Classifier Learning."

latent-replay

Implementation of Latent Replay, a Continual Learning strategy for Real-Time / On The Edge applications

mnist-for-numpy

A simple, easy to use MNIST loader written in Python 3

norb-creator

NorbCreator: an easy way to sequentialize the NORB dataset.

openmined

The OpenMined Unity Application

overcoming-catastrophic

Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow

pathint

Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017

pml-project

Peer-assessed portion of the Course Project in Practical Machine Learning on Coursera

pysyft

Private Deep Learning Client