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Hi, I'm Mainak Chakraborty šŸ‘‹

I love to contribute to open source projects.

  • šŸ”­ Iā€™m currently working on a deep learning project.
  • šŸŒ± Iā€™m currently learning Google Cloud.
  • šŸ‘Æ Iā€™m willing to collaborate on research projects.
Mainak's Linkdein Mainak's Github Mainak's Blog Mainak's twitter Mainak's Kaggle

Check out my repos ā¬‡ļø

Mainak Chakraborty's Projects

awesome-out-of-distribution-detection icon awesome-out-of-distribution-detection

A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization

backround_subtraction icon backround_subtraction

This is an approach towards reproducing the stauffer-grimson background Subtraction Paper, "Adaptive background mixture models for real-time tracking" published in 1999. A recreation of stauffer grimson background subtraction. One of the earliest and pioneering works that led to modern Computer Vision.

contrastive_loss icon contrastive_loss

Experiments with supervised contrastive learning methods with different loss functions

cs229-python icon cs229-python

Exercises and solutions to Stanford CS229 Machine Learning in Python

deep_life icon deep_life

This repository is dedicated to the basics to intermediate codes in the domain of deep learning.

fellowship_of_the_ring icon fellowship_of_the_ring

Use a pretrained ResNet 18 and train on the Flowers dataset. Use cut-out and discriminative learning rates. Measure its effect on your model's performance.

gaitnet icon gaitnet

An End-to-end Network for Gait Based Human Identification

generative-ai-for-beginners icon generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI šŸ”— https://microsoft.github.io/generative-ai-for-beginners/

jetracer icon jetracer

An autonomous AI racecar using NVIDIA Jetson Nano

prune-keras icon prune-keras

How to compress your Keras model x5 smaller with TensorFlow model optimization

python icon python

These are data structure algorithms and python scripts implemented .

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