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A real-time visualisation of the CO2 emissions of electricity consumption

Home Page: https://www.electricitymap.org

License: GNU General Public License v3.0

HTML 25.89% Python 47.92% JavaScript 22.14% CSS 3.44% Jupyter Notebook 0.31% Shell 0.23% Dockerfile 0.06%

electricitymap-contrib's Introduction

Hey ๐Ÿ‘‹ ! Welcome to my codebase, let's fix some bugs.

I'm an undergrad student ๐Ÿ‘จโ€๐ŸŽ“ at IIITDM Jabalpur pursuing B.Tech.

  • I'm interested in studying AI and implementing deep learning methods to social issues.
  • I'm fluent in python and C++. I also do competitive coding sometimes.
  • I contribute to open source whenever I can.
  • Apart from this, I love to read novels, and watch movies and shows ๐Ÿคฉ.

Technical Skills
Languages : python, C++, MATLAB, HTML, CSS, Octave
Tools/Libs : pandas, numpy, opencv, tensorflow, pytorch, matplotlib, jupyter, scikit-learn, dash, flask, APIs, GCP, IBM Cloud, Bash

Feel free to reach out if you want to do research on any deep learning paradigms together or you have a nice project idea to implement. I am always open for discussions on deep learning papers and science fiction(specially time travel).


Interests
- Deep learning in computer vision
  - Low light images
  - Denoising images
  - Attention in visual domain (Image captioning)
  - Video analysis with attention
- Time Series Analysis
  - Comparative study with classical methods
  - ESN method specially in the context of financial data modelling
  - Improving RNN based approaches
- Hyperparameter optimization 
- Self ensembling approaches
- Low code(high level APIs) or code generation ideas
- Graph Neural Networks

How to reach me

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