hars-singh

Antennas-Isolation-using-Coupled-Resonator-Decoupling-Network

Proved connectivity between physical dimensions and Y parameters of coupled-resonator decoupling network for wideband applications and isolated two antennas using a lumped network.

array_pointers_vectors_in_cpp

ByteTrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

cmath-

Flight-Tracking-System-using-ADS-B-and-RTL-SDR

Successfully decoded ADS-B signal with the help of vertically Polarized antenna attached with hardware dongle of software-defined radio.

GCN_complex_detection

Image-Scene-Graph-generation-using-Ontology

Generated image scene graph using TensorFlow and Faster-RCNN and created our own data set for detecting suspicious activity in a parking lot.

Liquidation-Strategy-Analysis-using-Multi-Agent-Deep-Reinforcement-Learning

Modelling an auction as a multi-layer neural network and framing optimal auction design as a constrained learning problem. Extending Myerson’s work for single item case to multi-item and multi-bidder settings.

Path-Loss-Prediction-in-Smart-Campus-Environment-using-Machine-Learning-

Implemented various machine learning algorithms to calculate path loss of signals and concluded random forest as the best algorithm to predict path loss. Documentation for this research work has been submitted to the reviewers of VTC conference which is scheduled at Belgium in May 2020.

Performance-Analysis-of-Baseball-Players-on-Statcast-Data-Set

Compared home runs of two of baseball’s brightest stars, Aaron Judge and Giancarlo Stanton using Statcast data set which consists of precise locations and movements of baseballs and players

hars-singh/GCN_complex_detection

hars-singh/africa_poverty

hars-singh/awesome-audio-visual

A curated list of different papers and datasets in various areas of audio-visual processing

hars-singh/awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

hars-singh/Cervical-image-segmentation-model

hars-singh/ClusterGCN

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

hars-singh/COVID-19-prognostic-model

hars-singh/COVID-CXNet

COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

hars-singh/COVID-GANs

Covid-19 Diagnostic Data Augmentation using Generative Deep Learning models to automate detection of Covid-19

hars-singh/covid-severity

Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning

hars-singh/CTV_SEG_TF

For the segmentation of the clincal target volume of cervical cancer

hars-singh/CVPR-2020-Paper-Statistics

Statistics and Visualization of acceptance rate, main keyword of CVPR 2020 accepted papers for the main Computer Vision conference (CVPR)

hars-singh/DANMF

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

hars-singh/Deep-Learning-for-Tracking-and-Detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

hars-singh/DVGOCD-DGL

Overlapping Community Detection - implemented in DGL

hars-singh/efficientPovertyPrediction

Efficient Poverty Prediction

hars-singh/egocentric-gaze-prediction

Code for the paper "Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition"

hars-singh/genetic-algorithm-path-planning

hars-singh/GNN4CD

Supervised community detection with line graph neural networks

hars-singh/google-research

Google Research

hars-singh/googlemaps-scraper

Google Maps reviews scraping

hars-singh/MAST

MAST: A Memory-Augmented Self-supervised Tracker (CVPR 2020)

hars-singh/MMT-PSM

[MICCAI2020] Code for paper : Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation

hars-singh/overlapping-community-detection

Implementation of "Overlapping Community Detection with Graph Neural Networks"

hars-singh/poverty-prediction

Predicting poverty in Rwanda with nightlights, daytime satellite imagery, and survey data

hars-singh/Poverty-Prediction-by-Satellite-Imagery

Poverty Prediction by Combination of Satellite Imagery

hars-singh/Poverty-Predictor-1

Combining satellite imagery and machine learning to produce poverty

hars-singh/streamlit-light-leaflet

Streamlit quick & dirty Leaflet component that sends back coordinates on map click

hars-singh/Vision-Transformer-Presentation

Presentation on An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

hars-singh/your-custom-app-name

Tutorial to deploy a ML Model to Heroku with Flask web application.