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Volodymyr-putin (1)

  • šŸ‘‹ Hi, Iā€™m @datasciritwik
  • šŸ‘€ Iā€™m interested in ML, AI
  • šŸŒ± Iā€™m currently learning Data Science
  • šŸ’žļø Iā€™m looking to collaborate on Knowledgeable people
  • šŸ“« How to reach me [email protected]

newplot newplot1 newplot2 newplot3 newplot4 newplot5

datasciritwik's Projects

awesome-streamlit icon awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

c-sharp-course icon c-sharp-course

Here is the code for my C# Mega Course. It is broken into 18 different folders. This is basically a Free Full Udemy Course. I hope you find it useful.

cppbestpractices icon cppbestpractices

Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.

deepfacelab icon deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

llama2.c icon llama2.c

Inference Llama 2 in one file of pure C

machine-learning icon machine-learning

I have a Great Experience in Machine Learning.I has Successfully completed Machine Learning course authorized by Stanford University and offer Through Coursera.I have also done different courses from Udemy Some course base on theoratical and Some base on Practical which I have learn I have also read different blogs, research papers to boost up my machine Learning concept.After learn all of that I working on diferrent projects of Machine Learning taken dataset from different Sources like UCI, Kaggle, Reddit etc.I also done #100DaysMLCode Challenges.I also writing a blog on Machine Learning artices from Scratch on medium.I have a some Publications on Machine Learning base on Supervised Machine Learning Algorithm and I also publish a book on Machine Learning.

media-explorer-app icon media-explorer-app

Hybrid architecture media server, media service and Streamlit client app using FastAPI and Python

nvdiffrast icon nvdiffrast

Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering

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