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Ananda Prasad C's Projects

ajaykrepo icon ajaykrepo

Kodi Addon Repository for Indian OTT which includes zee5, Voot, MX Player, Sonyliv addon

animeclassroom icon animeclassroom

Anime Classroom - To watch, download or talk about anime and classic cartoons or read manga and comics. No ads ! I promise !

automatic-ecg-diagnosis icon automatic-ecg-diagnosis

Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

awesome-cto icon awesome-cto

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

brainflow icon brainflow

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

build-your-own-x icon build-your-own-x

Master programming by recreating your favorite technologies from scratch.

caphadoop.github.io icon caphadoop.github.io

Setup a simple new indieweb site on a domain name in mere minutes with this project.

carriermanager icon carriermanager

A simple Transport Management System (TMS) for a Carrier company.

cartoonbank icon cartoonbank

We are committed to building an cartoon community using deep generative models

chatarena icon chatarena

Multi-Agent Language Game Environments for LLMs

company-insights-webapp icon company-insights-webapp

written for nesh. utility to pull in insights about different stocks. using a react front-end, and flask backend

cutter icon cutter

Free and Open Source Reverse Engineering Platform powered by rizin

cyclops icon cyclops

Framework for healthcare ML implementation

davinci icon davinci

Davinci is a DVsaaS (Data Visualization as a Service) Platform

deepdrive icon deepdrive

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

engenharia-medica-aplicada-unifesp-sjc-engbio icon engenharia-medica-aplicada-unifesp-sjc-engbio

This repository contains all the machine learning algorithms studied in discipline "Engenharia Médica Aplicada" of Biomedical Engineering course at UNIFESP in the second semester of 2018. All the algorithms are written in both MatLab and Python Languages.

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