ArkAung

dropout_bayesian_nn

Demonstration for using dropout as a means of bayesian approximation in Deep Neural Network

brain_cnn

Convolutional Neural Network to classify whether a given fMRI images are results of subjects seeing pictures or sentences

cs525-project

Final Project of CS525 (Deep Neural Networks - Jacob Whitehill)

DNNfs

Deep Neural Network implementation from scratch

multidiv-teachers

Research repo for Active Learning from Divergent Multiple Teachers

BHDD

Burmese Handwritten Digits Dataset (inspired by MNIST dataset)

cv_projects

Projects in Computer Vision

deep-speed

Predicting speed from dash cam input using comma.ai dataset

dnsmon

A suite of scripts to monitor DNS behaviours of newly registered domains

dnssinkholelist

dnssinkholelist is a python package focused on combining open source lists of malicious domains, dynamic dns domains, and advertisement domains that should be sinkholed/blocked.

fastai

The fastai deep learning library, plus lessons and and tutorials

fastai2

Temporary home for fastai v2 while it's being developed

Goats

grokking-system-design

Grokking system design

iOSAdblockList

Ultimate Host List for Mobile Adblockers (Focused on iOS)

kwiiziProject

Kwiki allows educational institutions to obtain millions of articles, books and videos for education while providing a communication platform where you can even make video calls. All without internet connection.

leetcode_questions

Questions which I have tackled and provided thinking processes on LeetCode

mask_rcnn

Mask RCNN test

mathspring

mathspring bugs

NNSoft

Experiments on training neural networks

opencv

Open Source Computer Vision Library

Ordered-Neurons

Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

PocketFlow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

pytorch-models

Tutorials for building PyTorch models

quantify-divergence

Demonstration of how divergence can be quantified

robust_nn

Building robust road sign classification neural networks which are resilient against adversarial attacks

sample_tf_save

Sample for saving and reloading weights and biases

SLURM-sbatch-Scripts

Scripts for sbatch when working on High Performance Clusters

VAE-Text-Generation

Text generation using Variational Auto Encoders based on IMDB review dataset

wAlnut

Object oriented model of partial human brain with 1 theorized common learning algorithm. Work in progress towards a strong emotional AI.