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

How to create a challenge on EvalAI?

The hackable text editor

Sandbox for training convolutional networks for computer vision

TensorFlow's Visualization Toolkit

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

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

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

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

The source code that powers readthedocs.org

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

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

Caffe: a fast open framework for deep learning.

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

Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"

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

Learn how to use OpenMined by Example

The OpenMined Unity Application

Private Deep Learning Client

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

Datasets, Transforms and Models specific to Computer Vision

Caffe models in TensorFlow

The TACO entry for the 2017 Audi Autonomous Driving Cup.

95.16% on CIFAR10 with PyTorch