The winning solution of Flatland Challenge 2020 Reinforcement Learning Track
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Updated
May 17, 2021 - Python
The winning solution of Flatland Challenge 2020 Reinforcement Learning Track
4th place solution of Aicrowd Visial Product Recognition Challenge
Multi-Agent Reinforcement Learning challenge on trains re-scheduling problem (RSP) organized by the AIcrowd platform in collaboration with the Swiss Federal Railways.
7th place solution of Aicrowd Mosquito Alert Competition
Sharing my journey to be fluent in writing machine learning models for interesting datasets from competitions from kaggle , AICrowd and other ensemble of deep learning model techniques and then trying to get them to production.
Airborne Object Tracking challenge
An AICrowd Challenge: Logistic Regression classifier that predicts whether an event's decay signature was the one of a Higgs Boson
Trained a classifier to count other cars on the road from a dataset containing 3D points cloud from LIDARs.
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