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active-feature-elicitation

Code base for actively eliciting expensive/ cumbersome features of the most informative data instance. (IJCAI 2018)

adversarially-motivated-intrinsic-goals

This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

boostsrl

Development repository for BoostSRL.

cs6320

code for assignments of NLP

cuisine-classification

Multi class classification of cuisines from their important ingredients. (Kaggle)

decision-making-in-finance

Adaptation of Monte Carlo and SARSA algorithms (Reinforcement Learning) for learning the policy of sellers/ buyers in stock market

deep-neural-networks

Layer wise exploration of learning in deep Neural networks

drl-using-pytorch

PyTorch implementation of Deep Reinforcement Algorithm

gym

A toolkit for developing and comparing reinforcement learning algorithms.

malwareclassification

Multi-class Malware Classification using source/assembly level code files

multiple-experts

multiple_exp

pycolab

A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!

reinforcement-learning-notes

Survey on (Deep) Reinforcement Learning papers and algorithms

residual-networks-vs-gb

Comparison between Residual Networks and Gradient Boosting

starling.utdallas.edu

Development repository for the STARLinG Lab's webpage. Built wtih Jekyll, jQuery, and the minimal-mistakes Jekyll theme.

td3

Author's PyTorch implementation of TD3 for OpenAI gym tasks