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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).
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 leaderboard of human and machine performance on the Arcade Learning Environment (ALE).
Encrypted search for encrypted ActiveRecord models
An Implementation of Attribute Label Embedding (ALE) method of Zero-Shot Learning
Simple tmLanguage package for syntax highlighting trale grammars.
UoB Reinforcement Learning Coursework (CM30359) - Awarded 72%
Reinforcement Learning (RL DQN) / Atari Acrobot, Breakout, and Space Invaders.
ANFIS Non-Linear Regression for Average Localization Error Dataset
Proximal Policy Optimization in PyTorch
A ruby version of the arcade learning environment interface.
A desktop application to manage brewing processes for Barnaby's Brewhouse. Developed with Qt.
Data vizualization of adults age 25 and older with a bachelor's degree or higher (2010-2014). Source: USDA Economic Research Service
Vim integration for protolint. https://github.com/yoheimuta/protolint
FEM solver applying mesh from third-party mesh generating software
OSGi bundle generating ALE events from an ACR122U card reader
Python linter for vim-ale.
An ontology about Beer, it's styles and ingredients.
Eliminate Noise with Comb and ALE
ale-linter-actionlint.vim is ALE custom linter for actionlint.
This repository is part of the "Fair and Interpretable Machine Learning" seminar hosted by Janek Thomas in the summer semester 2022
A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface