A library for rendering vector shapes using the Bevy game engine

A markup-based typesetting system that is powerful and easy to learn.

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

A basic node based dialogue system made for Unity.

Supplement code to our ICML 2021 paper

Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)

A Unity package to make runtime procedural mesh generation more flexible.

Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics

A simple, in-browser, markdown-driven slideshow tool.

Implementation for the Lookahead Optimizer.

A modernized, complete, self-contained TeX/LaTeX engine, powered by XeTeX and TeXLive.

🎮 A step-by-step guide to implementing SSAO, depth of field, lighting, normal mapping, and more for your 3D game.

An open source alternative to Substance Designer written in C#

Riemannian Adaptive Optimization Methods with pytorch optim

Mode Connectivity and Fast Geometric Ensembles in PyTorch

A method for training neural networks that are provably robust to adversarial attacks.

Learning Adversarially Fair and Transferable Representations

Joplin - the privacy-focused note taking app with sync capabilities for Windows, macOS, Linux, Android and iOS.

Cluttered Omniglot dataset and models

Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317

Python library for creating flow networks and computing the maxflow/mincut (aka graph-cuts for Python)

📄 Awesome CV is LaTeX template for your outstanding job application

A versatile 2d function plotter

PixelVAE with or without regularization

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Gaussian processes in TensorFlow

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Robust evasion attacks against neural network to find adversarial examples

An adversarial example library for constructing attacks, building defenses, and benchmarking both

A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017