y0ast

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ripgrep

ripgrep recursively searches directories for a regex pattern while respecting your gitignore

restic

Fast, secure, efficient backup program

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

spotify-tui

Spotify for the terminal written in Rust 🚀

zigbee2mqtt

Zigbee 🐝 to MQTT bridge 🌉, get rid of your proprietary Zigbee bridges 🔨

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

deit

Official DeiT repository

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

avo

Generate x86 Assembly with Go

wide-residual-networks

3.8% and 18.3% on CIFAR-10 and CIFAR-100

wavenet

Keras WaveNet implementation

wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

invertible-resnet

Official Code for Invertible Residual Networks

glow-pytorch

PyTorch implementation of Glow

glow-pytorch

pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"

nanopq

Pure python implementation of product quantization for nearest neighbor search

MaximumMarginGANs

Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"

varibad

Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)

whiteplain

Simple and Functional Hugo theme.

DDU

Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

batchbald_redux

Reusable BatchBALD implementation

osl-dynamics

Methods for studying dynamic functional brain activity in neuroimaging data.

VoxelViz

Visualization tool for fMRI data-sets using Plotly Dash

prospr

Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients

hyperx

causal-bald

due-cate

Determninistic Uncertainty Estimation for Conditional Average Treatment Effects

gp-js

Interactive Gaussian Process Visualization in Javascript