Code for "Exploring the Similarity of Representations in Model-Agnostic Meta-Learning" Forked from the code of the original paper "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

A tool for fixing a BibTeX reference list using DBLP API

Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿‍🔬

Training and serving large-scale neural networks with auto parallelization.

plotting on terminal

Caissa is a deep reinforcement learning algorithm that has been developed to learn the chess variant three-check chess from self-play

A fast implementation of MAML (Finn et al. 2017) in Tensorflow 2

Uses Git to upload only changed files to FTP servers.

Repository for few-shot learning machine learning projects

Show uncommitted, untracked and unpushed changes for multiple Git repos

Accurate, efficient Earth Mover's Distance for Python (and MATLAB).

An interactive guide to the game theory of cooperation

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

code accompanying "DeepBach: a Steerable Model for Bach Chorales Generation" paper

Code and hyperparameters for the paper "Generative Adversarial Networks"

starter from "How to Train a GAN?" at NIPS2016

A data science IDE for Python

FourVoices: an automatic music generator for four-part writing.

A small modified version of 2048 (http://git.io/2048)

UiDesigner for Squeak