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Shresth verma's Projects

hydeout icon hydeout

A refreshed version of Hyde for Jekyll 3.x

hypernetworks icon hypernetworks

PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

imageprocessing icon imageprocessing

Experimenting with various image processing techniques and algorithms

indian-street-simulator icon indian-street-simulator

A self driving car simulator for Indian streets and cities for automatically generating annotation data.

jakyll-demo icon jakyll-demo

Build a Jekyll blog in minutes, without touching the command line.

marl-medium icon marl-medium

Code for blog series on Multi-Agent Reinforcement Learning

mfrl icon mfrl

Mean Field Multi-Agent Reinforcement Learning

minimal-demo icon minimal-demo

:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.

models icon models

Models and examples built with TensorFlow

my_scripts icon my_scripts

repository for python scripts that help in automating boring tasks

navigationar icon navigationar

An AR based Navigation app made using Unity3D and Vuforia SDK

neural-style-transfer icon neural-style-transfer

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

opencv icon opencv

Open Source Computer Vision Library

paper-reading icon paper-reading

A repository of research papers I have read along with their short reviews of what I understood.

peggy icon peggy

Toolkit for Population based Emergence of lanGuage in Games (PEGGy)

plark_ai_public icon plark_ai_public

Montvieux has developed “The hunting of the PLARK” Artificial Intelligence (AI) testbed to support a Hackathon activity at the Alan Turing Institute (ATI). The testbed is very flexible and will support both short term exercises in the Hackathon and provide a basis for more extensive, long-term, and cutting edge research. The test bed can be used as a basis to research the limits of agent generalisation, co-operation, and deception in a defence environment.

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