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).

🌑 Enriching python coding in Vim 🐍

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

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

UoB Reinforcement Learning Coursework (CM30359) - Awarded 72%

A desktop application to manage brewing processes for Barnaby's Brewhouse. Developed with Qt.

Interpretable ML Research Project at LMU Munich: Quantifying the the feature effect errors of PDP and ALE empirically through simulation studies