Thilak-cm

Wordle-Bot

Solve Wordle using information theory coding

Andriod-Malware-Detection-ADROIT-

Audio-Classification

Black-jack-complete-python

black jack python full code

DMSP-Particle-Precipitate-Flux-Prediction-Mesoscale-

🧾Description: We advance the modelling capability of electron particle precipitation from the magnetosphere to the ionosphere through a new database and use of deep learning (DL) tools to gain utility from those data. We have compiled, curated, analyzed, and made available a new and more capable database of particle precipitation data that includes 51 satellite years of Defense Meteorological Satellite Program (DMSP) observations temporally aligned with solar wind and geomagnetic activity data. The new total electron energy flux particle precipitation nowcast model, a neural network called PrecipNet, takes advantage of increased expressive power afforded by ML approaches to appropriately utilize diverse information from the solar wind and geomagnetic activity and, importantly, their time histories. With a more capable representation of the organizing parameters and the target electron energy flux observations, PrecipNet achieves a >50% reduction in errors from a current state‐of‐the‐art model oval variation, assessment, tracking, intensity, and online nowcasting (OVATION Prime), better captures the dynamic changes of the auroral flux, and provides evidence that it can capably reconstruct mesoscale phenomena. We create and apply a new framework for space weather model evaluation that culminates previous guidance from across the solar‐terrestrial research community. research paper manuscript - Click Here

EY-Challenge

Develop a Species Distribution Model (SDM) - Build a Binary Classification model for the Victoria Phalanx frog species

Flight-Delay-Analysis-and-Prediction

higgs-bosson-classification

Image-Captioning-Model

patient-survival-detection

Thilak-cm/DMSP-Particle-Precipitate-Flux-Prediction-Mesoscale-

🧾Description: We advance the modelling capability of electron particle precipitation from the magnetosphere to the ionosphere through a new database and use of deep learning (DL) tools to gain utility from those data. We have compiled, curated, analyzed, and made available a new and more capable database of particle precipitation data that includes 51 satellite years of Defense Meteorological Satellite Program (DMSP) observations temporally aligned with solar wind and geomagnetic activity data. The new total electron energy flux particle precipitation nowcast model, a neural network called PrecipNet, takes advantage of increased expressive power afforded by ML approaches to appropriately utilize diverse information from the solar wind and geomagnetic activity and, importantly, their time histories. With a more capable representation of the organizing parameters and the target electron energy flux observations, PrecipNet achieves a >50% reduction in errors from a current state‐of‐the‐art model oval variation, assessment, tracking, intensity, and online nowcasting (OVATION Prime), better captures the dynamic changes of the auroral flux, and provides evidence that it can capably reconstruct mesoscale phenomena. We create and apply a new framework for space weather model evaluation that culminates previous guidance from across the solar‐terrestrial research community. research paper manuscript - Click Here

Thilak-cm/EY-Challenge

Develop a Species Distribution Model (SDM) - Build a Binary Classification model for the Victoria Phalanx frog species

Thilak-cm/higgs-bosson-classification

Thilak-cm/Andriod-Malware-Detection-ADROIT-

Thilak-cm/Audio-Classification

Thilak-cm/Black-jack-complete-python

black jack python full code

Thilak-cm/Cyber-Bully-Detection-using-NLP

Detect cyberbullying using NLP tools

Thilak-cm/English-to-Hindi-Text-Translation-

🧾Description: The IIT Bombay English-Hindi corpus contains parallel corpus for English-Hindi as well as monolingual Hindi corpus collected from a variety of existing sources and corpora developed at the Center for Indian Language Technology, IIT Bombay over the years. This page describes the corpus. This corpus has been used at the Workshop on Asian Language Translation Shared Task since 2016 the Hindi-to-English and English-to-Hindi languages pairs and as a pivot language pair for the Hindi-to-Japanese and Japanese-to-Hindi language pairs.

Thilak-cm/Flight-Delay-Analysis-and-Prediction

Thilak-cm/GOT-text-generation-NLP

Game Of Thrones Text Generation using NLP and RNN LSTM

Thilak-cm/Image-Captioning-Model

Thilak-cm/Machine-Bearing-Fault-Prediction

Machine bearing fault detection using vibrational data

Thilak-cm/patient-survival-detection

Thilak-cm/climate-change-data

:earth_africa: A curated list of APIs, open data and ML/AI projects on climate change

Thilak-cm/Pythonchallenge-solutions

solutions for http://www.pythonchallenge.com

Thilak-cm/Resume

My Resumé

Thilak-cm/Road-Traffic-Accident-severity-prediction

Road Traffic Severity prediction

Thilak-cm/road-trip-duration

Thilak-cm/Site-Energy-Intensity-Prediction

Thilak-cm/smart-parking-system-with-computer-vision

This repository contains the solution for determining available spots in parking lots from captured images

Thilak-cm/Thilak-cm

Thilak-cm/Tic-tac-toe-complete-python-

Thilak-cm/Titanic-Survival-Prediction