Sooryakiran

Domain-Specific-Hardware-Accelerator-VLSI-CAD-Project

Domain Specific Hardware Accelerators - VLSI CAD Project

Convolution-with-AVX

Implementation of 2D Convolution operation for Neural Networks using Intel x86(i368)/x86-6(amd64) AVX-256 instructions. All data flow methods, i.e input stationary, weight stationary and output stationary are implemented. The forward pass of Alexnet architecture is constructed using it.

dotV

A library to generate parameterized Verilog code from C++. Allows you to assemble Verilog modules in C++, use C++ syntax to dynamically generate complex connections, parameterize code, and ultimately get the Verilog code automatically generated.

HARTS

Hardware Architecture Search (Harts), finds an optimal of logic gates to perform a prediction.

Php-Sqlite3-Authentication-Headstart

Head start package for PHP SQLite authentication Apps.

sooryakiran.github.io-archive

Personal Website

Amazon_comment_location_scrapper

A python tool for scrapping location and comment title from amazon products

barrel_dataset

btech-thesis

A LaTeX class for IIT Madras Thesis format

RustCask

RustCask: BitCask Key Value Filestore Engine in Rust

static-scroll

Static scroll animations for React

Canvas-201

Canvas

Chinese-Character-Practice

This repository hosts the practice game to recognize Chinese Traditional characters. So that I will not fail HS 4570 : Introduction to Chinese language.

CS6886_SysDL

Systems Engineering for Deep Learning, IIT Madras

Deep-Q-Learning

ED-Midsemester-Exam-Landing-Page

Fourier-Analysis-for-Background-Estimation-of-Surveillance-Videos

A small python implimentation of background estimation of surveilance videos using fourrier analysis

igvc_lane_annotater

JAUS-Plus-Plus-Modified-

This is a modified fork of the original JAUS++ found here https://sourceforge.net/projects/active-ist/files/JAUS%2B%2B/

logMAR-Digital-Chart

HTML version of the logMAR chart

ME2400-PID-Control

ME2400: Measurements Instrumentation and Control Course Project

OS

Boot sector and a useless Kernel

Self-Supervised-Traffic-Segmentation-for-Live-Surveilance-Videos

A traffic image segmentation network that learns online to segment both moving and still traffic from the background. The network uses motion of objects to learn the features.

Shaastra2019-Bulk-Mailer

sooryakiran-archive

static-scroll-demo

demo page for static-scroll