Prasanna Natarajan's starred repositories
Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
bitcoinbook
Mastering Bitcoin 3rd Edition - Programming the Open Blockchain
profile-summary-for-github
Tool for visualizing GitHub profiles
Interview_Question_for_Beginner
:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
ar-cutpaste
Cut and paste your surroundings using AR
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
gitignore.io
Create useful .gitignore files for your project
SSGAN-Tensorflow
A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
fastai_audio
Audio transforms for FastAI
deep_q_learning
This is the Code for "Deep Q Learning - The Math of Intelligence #9" By Siraj Raval on Youtube
CS561-HalmaEditor
A board editor for Halma game. Support output monitoring/applying and game running.
mysql-workbench-to-postgres
Converts a MySQL Workbench SQL export into a PostgreSQL compatible SQL script
Flappy-Bird-AI
Artificial Intelligence based Flappy Bird Game
Pytorch-Twitch-LOL
PyTorch implementation of Video Summarization on Twitch (LOL) dataset
polar.usc.edu
Polar USC activities related to NSF Polar CyberInfrastructure program at the University of Southern California
INF553-Summer2019-Assignments
All Programming assignments done for the course INF553: Foundations and Applications of Data Mining