architsharma97 Goto Github PK

architsharma97.github.io

Personal Website based on "Goa" for Hugo

cv

Personal CV, based on Alessandro Plasmati's.

dpo-rlaif

earl_benchmark

EARL: Environment for Autonomous Reinforcement Learning

imagetoolbox

A simple toolbox which does Red-Eye Reduction and Segmentation based Selective Blurring of Images. Has a simple Tkinter based GUI, which accepts images and performs the selected functions.

instanceretrieval

Assignment for CS698O: Visual Recognition

locationtagger

An android application which takes input from the user about his/her method of commute. There are four options available: Walk, Bus, Car and Bike. Currently pushes data to server within Texas A&M.

mbsvme

Mixture of Bayesian SVM Experts

medal

Code to reproduce results for MEDAL in PyTorch. Also contains code for running SAC and FBRL.

mnist

Tests convergence of various estimators. In particular, PD and SF/REINFORCE are tested for gaussian and bernoulli latent variables and Synthetic gradients are tested in MNIST Classification (DNI).

opencv

Open Source Computer Vision Library

privacy_spmd

Privacy analsyis in DSRC: Data taken from Ann Arbor, Michigan. Conclusively shows that switching IDs randomly will not preserve user privacy is BSMs are transmitted at 10 Hz. Also shows lack of privacy if IDs are changed universally. Other protocols under test, where IDs are only transmitted when driving through an intersection.

self-improving-robot-sail-blog

SAIL blog entry for Self-Improving Robots

self-improving-robots

Website for Self-Improving Robots.

videosummarization

Course Project for CS771: Machine Learning

visualdialog

The repository contains Theano implementations for Visual Dialog Models (http://visualdialog.org/). In particular, the Late Fusion and Memory Network models have been implemented.

visualqa

A model for Visual Question Answering. Extracts image features using the vgg16 architecture. Extracts language features using LSTM. Outputs from both are combined using a fully connected MLP, outputs of which belong to pre-chosen set of most probable answers.