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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
Pretty, responsive and smooth defaults for a sane ALE, gets you started in 30 seconds
Teal language support for Vim
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
FEM solver applying mesh from third-party mesh generating software
Vim integration for protolint. https://github.com/yoheimuta/protolint
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