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  • šŸ‘‹ Hi, Iā€™m Rayhan
  • šŸ‘€ Iā€™m interested in high dimensional data analysis
  • šŸŒ± Iā€™m currently learning co-operative ML
  • šŸ’žļø Iā€™m looking to collaborate on PhD projects
  • šŸ“« How to reach me [email protected]

md rayhan 's Projects

adanet icon adanet

Fast and flexible AutoML with learning guarantees.

awesome-real-world-rl icon awesome-real-world-rl

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

bldcml icon bldcml

Control brushless DC motor with reinforcement learning.

cask icon cask

Project management tool for Emacs

code icon code

Compilation of R and Python programming codes

commercial-space-cooling-digital-twin icon commercial-space-cooling-digital-twin

With the nodemcu IoT device, both indoor and outdoor weather data will be collected in the cloud at predetermined intervals. Later, AI pipelines will consume the time-series in order to produce optimum A/C operational control choices based on pattern discovery. nodemcu will simply need a 5V 2A ac adapter to function. The energy usage of the deep sleep mode is insignificant when room is out of use.

covid-19-data icon covid-19-data

Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests ā€¢ All countries ā€¢ Updated daily by Our World in Data

epidemiology-research-on-covid-19 icon epidemiology-research-on-covid-19

This study endeavors to establish the effectiveness of SARS-CoV-2 vaccines. We developed a tractable tool to analyze the impact of vaccination or any non pharmaceutical policy against disease severity.

faceboxe-surveillancevideo icon faceboxe-surveillancevideo

Use FaceBoxes: A CPU Real-time Face Detector with High Accuracy methode in detecting faces in surveillance video

fall-18-m1 icon fall-18-m1

Assessment repo for module 1 of the edX course, Writing Professional Code, fall 2018 session

gre_prep icon gre_prep

This is a guide for how one can prepare for GRE within a month's duration.

kats icon kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

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