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followers: 10.0 following: 10.0 repos: 43.0 gists: 0.0

Name: Sudip Chakraborty

Type: User

Company: @auviitkgp @zomato

Bio: IIT Kharagpur | Learning and Exploring

Location: Indian Institute of Technology,Kharagpur

Hi Sudip this side 👋

🔭 I’m a Graduate student at Indian Institute of Technology, Kharagpur
🌱 I’ve done my internship at Zomato org in the Machine Learning team
👯 I’m a passionate coder, love problem solving and competitive programming
Achieved Global Rank of 72 in Google Kickstart, Round D, 2021, among ~11k Global Participant
💬 Ask me about Machine Learning,Data Structure,Algorithm
📫 How to reach me: [email protected]
Please look our researchpaper in your free time: Knowledge-Aware Neural Networks for Medical Forum Question Classification

Languages and Tools:

Programming Languages: C, C++, Python 
Software and Tools: ELK Stack, Git, Postman, Jupyter
Framework and Libraries: Pandas, NumPy, Matplotlib, OpenCV, Seaborn, STL, Conda, Scikit-learn, Tensorflow, NLTK
Familiar With: Tableau, SQL, SolidWorks, AWS, Shell Scripting, LaTeX, MLflow, Snap

Sudip Chakraborty's Projects

analytics-zoo

Distributed Tensorflow, Keras, PyTorch and Ray on Apache Spark

biobert

BioBERT: a pre-trained biomedical language representation model

coding-notes

I'm compiling coding notes for many different languages and frameworks! 🐲

datastructures-algorithms

The best library for implementation of all Data Structures and Algorithms - Trees + Graph Algorithms too!

demo

Demo repo for tutotial articles on Opensource.com

gin

Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.

knowledge-aware-med-classification

Contains the codebase for our paper "Developing Knowledge-Aware Neural Models for Medical Forum Question Classification"

kraken_reboot

Working Repository of Team AUV, IIT Kharagpur starting from Kraken 3.5

kube-state-metrics

Add-on agent to generate and expose cluster-level metrics.

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

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