Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

Perlin noise library for Python

A fast and simple perlin noise generator using numpy

Load and view .npy files containing 2D and 1D NumPy arrays.

Variational Autoencoder (VAE) with perception loss implementation in pytorch

PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.

Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.

Train GAN to generate 3D terrain based on user input.

Authors' implementation for the article "Orometry-based terrain analysis and synthesis", SIGGRAPH Asia 2019

Complementary material for the submission RAL-ICRA 2017

Optimizing the 8 Queens Puzzle using the Genetic Algorithm (PyGAD).

Play the Flappy Bird Game using PyGAD (Genetic Algorithm)

Pytorch implementation of a Variational Autoencoder trained on CIFAR-10. The encoder and decoder modules are modelled using a resnet-style U-Net architecture with residual blocks.

Neural style transfer for multiple images

Lindenmayer systems in Python

This project aims to predict the stock market trend for the next day based on the sentiment classification on the daily news or the analysis on the historical time series data.

Generating realistic terrain maps via a combination of procedural noise and style transfer

Uses genetic programming to evolve finite automata given positive and negative examples of strings that do or do not match a target language.

Trading Algorithm developed for a Worcester Polytechnic Interactive Qualifying Project

Agentic Pentesting Suite

A custom protocol-hopping timing-based covert channel.

Has code for pitch sensing using zero crossing and autocorrelation. Includes automatic comparative analysis given a folder with audio samples