High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

ALE indicator for the lightline vim plugin

🌑 Enriching python coding in Vim 🐍

✌️a Flexible and fast JavaScript view framework

Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol

Teal language support for Vim

Pretty, responsive and smooth defaults for a sane ALE, gets you started in 30 seconds

A custom editor based on NeoVim and inspired from Vim and Emacs to maximise productivity.

A leaderboard of human and machine performance on the Arcade Learning Environment (ALE).

Encrypted search for encrypted ActiveRecord models

VIM configuration and vim plugins managed with vim-plug

An Implementation of Attribute Label Embedding (ALE) method of Zero-Shot Learning

Simple tmLanguage package for syntax highlighting trale grammars.

FEM solver applying mesh from third-party mesh generating software

Reinforcement Learning (RL DQN) / Atari Acrobot, Breakout, and Space Invaders.

UoB Reinforcement Learning Coursework (CM30359) - Awarded 72%

ANFIS Non-Linear Regression for Average Localization Error Dataset

Proximal Policy Optimization in PyTorch

Vim integration for protolint. https://github.com/yoheimuta/protolint