kensai7

stimfit

A program for viewing and analyzing electrophysiological data

digital_video_introduction

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

Is-Now-Illegal

🚫 A NERD protest against Trump's Immigration ban

tectonic

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

VFSForGit

Virtual File System for Git: Enable Git at Enterprise Scale

myhdl

The MyHDL development repository

vyper

Pythonic Smart Contract Language for the EVM

git-town

Git branches made easy

moabb

Mother of All BCI Benchmarks

elabftw

:notebook: eLabFTW is the most popular open source electronic lab notebook for research labs.

fairseq-lua

Facebook AI Research Sequence-to-Sequence Toolkit

guide

Kubernetes clusters for the hobbyist.

MathJax

Beautiful and accessible math in all browsers

limbo

A Reasoning System for a First-Order Logic of Limited Belief, written in C++

upterm

A terminal emulator for the 21st century.

neovim

Vim-fork focused on extensibility and usability

lektor

The lektor static file content management system

pyformat.info

Single page cheat-sheet about Python string formatting

chisel

Chisel: A Modern Hardware Design Language

wyrm

Python toolbox for Brain-Computer Interfacing (BCI)

CoreFreq

CoreFreq : CPU monitoring and tuning software designed for 64-bit processors.

pyNASA

Lasagne

Lightweight library to build and train neural networks in Theano

spellfucker

Yet another text obfuscator and the biggest enemy of the spellchecker

gitpitch

Markdown Presentations for Tech Conferences, Training, Developer Advocates, and Educators.

algorithms

Minimal examples of data structures and algorithms in Python

psychec

A compiler frontend for the C programming language

sonnet

TensorFlow-based neural network library

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

Theano

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor