artificial-intelligence-projects

Collection of Artificial Intelligence projects.

autoencoder-based-superresolution-framework

autonomous-drone--raspi

Open source Contribution- This repository consists of the code that we developed for the making an autonomous drone and controlling the same using a raspi 3. This was developed for making an open source contribution to original drone kit api which does not have indoor navigation without guided no gps mode and raspi - Worlds first autonomous with coupling alogorithm

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

blockchain_fullstack

bold5000

Official code release for BOLD5000 Release 2.0

can-self-reported-symptoms-predict-daily-covid-19-cases

Official code for the paper 'Can Self Reported Symptoms Predict Daily COVID-19 Cases?'

cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

covid-19-stanford

covid-safe-paths

COVID Safe Paths (based on Private Kit) is an open and privacy preserving system to use personal information to battle COVID

covid-symptom-data-analysis

Data analysis of Covid Symptom data - CMU UMD

covid_reliable_articles

covidsymptomchallenge

cs-598--forest_sensing

custom-yolo

deep-learning-cs7015

This repository contains all my theroy reports, written assignments and programming code that I wrote/referrd for the DL course at IIT,Madras taught my advisor Prof.Mitesh Khapra.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

diabetes-prediction-system

A diabetes prediction system built with logistic regression and deployed using flask api

dino_sam

Forking dino_sam

dlaicourse

Notebooks for learning deep learning

engineering-blogs

A curated list of engineering blogs

fmrinet

gan-for-wireless-communication

In this repo, I develop an end-to-end wireless communication system using deep neural networks (DNNs), where DNNs are employed to perform several key functions, including encoding, decoding, modulation, and demodulation.

ganhacks

starter from "How to Train a GAN?" at NIPS2016

glmsingle

A toolbox for accurate single-trial estimates in fMRI time-series data

handwritten-text-recognition-for-apache-mxnet

This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.

image_feature_extraction

Extracting low level features , mid level and high level features becomes crucial for explainability while working with images. Hence, I wrote a script to extract those features and save them as a csv to understand relations with between them and the output variable. We can run SHAP values to understand the feature contribution

in-depth-ml

In depth machine learning resources

indoor-communication--machine-learning

This repository consists of the MATLAB code that we used to detect the points of attention in an indoor environment to channelize the visible light accordingly.

logisticregression