Pinned Repositories
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-
š§¾Description: 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 stateāofātheāart 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 solarāterrestrial 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's Repositories
Thilak-cm/DMSP-Particle-Precipitate-Flux-Prediction-Mesoscale-
š§¾Description: 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 stateāofātheāart 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 solarāterrestrial 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-
š§¾Description: 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 ResumƩ
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