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Name: Naveen Venkat
Type: User
Company: @runwayml @bitsacm @val-iisc
Bio: Research @runwayml. MS Computer Vision @ CMU, BE(Hons.) CS @ BITS Pilani. Ex-Couture AI, VAL-IISc.
Location: New York
Blog: http://naveenvenkat.com
Naveen Venkat's Projects
mupbits
Handy information for Microprocessors Course - BITS Pilani
neuralnetworks
Visualization of neural networks
nfs-computer-vision
A project demonstrating the use of Computer Vision in Human Computer Interaction, especially in gaming
nity
A hackable text editor for the '20th' century
pacrypt
PACRYPT is a PolyAlphabet enCRYPTion program written in c++
paper-reviews
My observations and inferences in various research papers
platformer_ai
A simple AI bot to play a 2D platformer game
pokemon-checkmate-2016
This repository contains all the code of the web based game event conducted by the BITS ACM chapter of BITS Pilani in September 2016.
predicting-compre-grades
Comparing machine learning models in grade prediction in a course in BITS Pilani
projecteuler
Solutions to Project Euler's problems
pyaudioanalysis
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
pygaze
an open-source, cross-platform toolbox for minimal-effort programming of eye tracking experiments
pytorch_boiler
A minimalistic boiler plate code for training pytorch models
rand
Playing with random numbers
retro-vb-apps
Some of my (old) middle school projects written in Visual Basic 6.0
simple-db
A simple Database API for python
spin-ui
A hackable text editor for the modern web
spoj
My SPOJ code
spoof
Are you Real? Detecting spoof in Webcams & Video Feeds using Computer Vision
thank-you-github
An open letter of gratitude to GitHub
tiny
TINY Lanuguage C/C++ Library. Visit serverprocessor.wordpress.com/tiny
trees
My experiments with trees in c++ and more.
vb-apps
Windows apps made in Visual Basic 6.0 during my secondary school
vision
Datasets, Transforms and Models specific to Computer Vision
webdevstarterkit
Web Developer Starter Kit
x-ray-classifier
Threat detection using x-ray images of baggages
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