Vincenzo Lomonaco

CORe50: a new Dataset and Benchmark for Continual Learning

Transportation Mode Detection with Unconstrained Smartphones Sensors

AR1* with Latent Replay, implemented in PyTorch

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

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

My old website (now deprecated). Check the new version based on Gitbook here: http://vincenzolomonaco.com

How to create a challenge on EvalAI?

:atom: The hackable text editor

The OpenMined Unity Application

Sandbox for training convolutional networks for computer vision

TensorFlow's Visualization Toolkit

Tensorflow implementation of the `intelligent synapse' model from [Zenke et al., (2017)] and application to the Permuted MNIST benchmark.

Caffe models in TensorFlow

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

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

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

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

No description provided.

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

NorbCreator: an easy way to sequentialize the NORB dataset.

Caffe: a fast open framework for deep learning.

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

PyTorch Implementation of iCaRL

No description provided.

Continuum Learning with GEM: Gradient Episodic Memory

Learn how to use OpenMined by Example

The TACO entry for the 2017 Audi Autonomous Driving Cup.