Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.

Real-time commitment tracking

Empowering everyone to build reliable and efficient software.

Training (hopefully) safe agents in gridworlds

A command line interface for Git Checkout. See branches available for checkout.

An educational resource to help anyone learn deep reinforcement learning.

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

Native cross platform full feature terminal based sequence editor for git interactive rebase. Written in Rust using ncurses.

An experimental, kakoune-inspired CLI-centric text/code editor with |-shaped cursor (in Rust)

Less annoying completion preview window based on neovim's floating window

Language Server Protocol (LSP) support for vim and neovim.

Deep Fluids: A Generative Network for Parameterized Fluid Simulations

Vim configuration for Rust.

Minimal PyTorch implementation of YOLOv3

Configuration files for common software, e.g. vim, bash. Based on example at website.

Reason Vim editor integration

Classification with PyTorch.

Official PyTorch Implementation of FutureGAN

High-level library to help with training neural networks in PyTorch

Automated S-expression conversion

Python programs to practice or demonstrate skills.

C implementation of Python 3 lru_cache

A toolkit for developing and comparing reinforcement learning algorithms.

A high-performance distributed execution engine