A library of VHDL components for Neural Networks

Understanding DNN

Reinforcement Learning Course Project - IIT Bombay Fall 2018

Approximate Ridge Linear Mixed Models (arLMM)

REILLY is a Reinforcement Learning Library based on "Reinforcement Learning - An Introduction (second edition)" written by Sutton & Barto, developed with love by a foolish couple of computer scientists.

Multiple Disjunctively Constrained Knapsak problem: definition and an approximation algorithm implementation.

This repository holds the development of a game called 'Lua's Conquest' and that is related with the algorithm logic of the Genetic Algorithm Heuristic.

Personal notes for probabilistic modelling reasoning course (University of Edinburgh 2017-1)

This repository contains universal implementations of three algorithms for approximating projection depths in multivariate statistics: Random Search, Refined Random Search, and Spherical Nelder-Mead. These algorithms are designed to work with any depth function that satisfies the projection property.

efficiently linear regression

Approximate Decision Tree in R

My strategy for an online AI competition (for more details, see Readme)