Real-time WS2812b LED strip music visualization using Python and the ESP8266 or Raspberry Pi.

Code for running the transformers in the ICML 2021 paper "Thinking Like Transformers"

An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow

RD-3D is a GPU-based finite-difference implementation used to simulate the reaction-diffusion process on a regular network of spacing ε with periodic or no-flux boundary conditions at the domain bo…

Flattening LaTeX projects

1-D Toy Diffusion model written in pure Pytorch

PyTorch implementation of diffusion models.

Official implementation of Cold-Diffusion for different transformations in pytorch.

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Experiments exploring a distributional simplicity bias in neural networks

Code for "Goal-Guided Neural Cellular Automata: Learning to Control Self-Organising Systems"

A Zotero plugin for syncing items and notes into Notion

A Wiki for tips and tricks related to Ipe

Userspace Raspberry Pi PWM library for WS281X LEDs

Plug-And-Play Learned Gaussian-mixture Approximate Message Passing

NetworkX Addon to allow graph partitioning with METIS

Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"

Approximate Message Passing in Python

This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.

"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files

HedgeDoc - Ideas grow better together

Few Shot Semantic Segmentation Papers

The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

Three dimensional cross-modal image inference

Code for the paper “Paradoxes in Fair Machine Learning” by Paul Gölz, Anson Kahng, and Ariel D. Procaccia.