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avalanche

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

bsn

Implementation of the Budgeted Super Networks

codelabs

Flutter codelab examples

continuum

A clean and simple data loading library for Continual Learning

ctrlbenchmark

Benchmark for Lifelong learning research

den

Lifelong Learning with Dynamically Expandable Networks

dronedelivery_alv4

Forth variant of the Drone Delivery project : Event Notification and Tracking Status

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

flutter-unity-view-widget

Embeddable unity game engine view for Flutter. Advance demo here https://github.com/juicycleff/flutter-unity-arkit-demo

hat

Overcoming catastrophic forgetting with hard attention to the task

holomaker.github.io

kaggle-environments

legalmattic

Democratizing WordPress.com legalese since 2014!

logger

A simple logger for experiments

mntdp

Implementation of [MNTDP](https://arxiv.org/abs/2012.12631)

msdocs-python-fastapi-webapp-quickstart

neural_turing_machine

Torch implementation of Neural turing Machine, as presented by Alex Graves, Greg Wayne & Ivo Danihelka.

plugins

Plugins for Flutter maintained by the Flutter team

progressiveneuralnetworks.pytorch

Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework

pyml_logger

Python simple Logging Class and Tools. Used for storing Machine Learning experimental results....

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytorch-data

Additional datasets and data transformers

radar_plots

ray

A fast and simple framework for building and running distributed applications.

reinforced-continual-learning

code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."

residual_adapters

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

sanas

Stochastic Adaptive Neural Architecture Search

stable-diff