vin-nag Goto Github PK

6915_a4

Working on assignment 4

blackjack-reinforcement-learning

Developing an optimal playing strategy for the popular game Blackjack using various Reinforcement Learning algorithms.

braitenberg_vehicles

Simulating Braitenberg Vechicles for ECE750 Course using Jupyter and Jyro

cgdborealis

checkyourperturbations

A tool to compare non-gradient based adversarial example generation methods

crypto_boost

These notebooks cover experiments done as part of my research implementing a cryptography based boosting method

css-slackbot2017

MUN Computer Science Society - 2017 Slackbot

distributedlearning

This project implements Downpour Stochastic Gradient Descent (Downpour-SGD), an asynchronous distributed deep neural network training algorithm using Thrift IDL (for Python) and Pytorch. We also implement several novel variations to parts of the Downpour-SGD and analyze results.

examples

Some code examples

gans-n-reels

Creating Irish Music using a Generative Adversarial Neural Network

ml-logic-seminar.github.io

Website for the ML + Logic Online Seminar

neathep

The NeuroEvolution of Augmenting Topologies (NEAT) for High Energy Physics (HEP)

need-4-screech

2D Platformer Game built using JavaScript, HTML/CSS, Node.js and MongoDB.

neurosat

NeuroSAT: Learning a SAT Solver from Single-Bit Supervision

predators_and_prey

Predator and prey

red-queens-hypothesis

Code for simulating co-evolution in a predator-prey model that both utilize NEAT for evolution. Forked from openai/multiagent-particle-envs to use the environment. Report found at:

scheduling-application

A Scheduling App where people can book appointments with a massage therapist. Technologies used: HTML/ CSS/ AngularJS/ Firebase.

sudoku-sat

Determining the satisfiability of randomly generated Sudoku grids using SAT solvers

vin-nag.github.io

waggle-swarm-reinforcement-simulation

Applying Reinforcement Learning to Swarm Robotics: Implementing a Simple Foraging Controller using Waggle

xai_gan

This work was accepted at the AAAI-21 Explainable Agency Workshop. It implements a new class of GAN that leverages recent advances in explainable AI (xAI) systems to make training more data-efficient.

z3

The Z3 Theorem Prover