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)

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

Approximate Decision Tree in R

Final project for the 2017 course of Algorithmic Methods of Data Mining, Aalto University

efficiently linear regression

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.