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Hi šŸ‘‹, I am Shuvrajeet Das

theunsolveddev

I am Shuvrajeet Das, a programmer basically seeking for solving the unknown mysteries present everywhere. Optimistic in nature. Loves Machine Learning. Craze for Deep Learning. Animation enthusiasts...

  • šŸ”­ Iā€™m currently working on Machine-Learning-with-Tensorflow-2.

  • šŸŒ± Iā€™m currently learning Reinforcement-Learning and Probabilistic Machine Learning

  • šŸ¤ Iā€™m looking for help with Quadruped Robot

  • šŸ‘Øā€šŸ’» All of my projects are available at https://github.com/TheUnsolvedDev

  • šŸ“« How to reach me [email protected]

Distro I'm Currently On:

  • Ubuntu 21.04
  • Windows 10
  • Manjaro XFCE
  • Debian 11(Mostly)

Connect with me:

shuvrajeet-das-786408185 shuvrajeet.das the_unsolved_dev shuvrajeet shuvrajeet17 shuvrajeet

Languages and Tools:

arduino bash blender c java linux mongodb mysql opencv python pytorch scikit_learn tensorflow unity


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Shuvrajeet Das's Projects

cuda_nn_fs icon cuda_nn_fs

creating a personal neural network library in cuda by as a learning stage side by side project

cuml icon cuml

cuML - RAPIDS Machine Learning Library

forgetting-nature-of-neural-network icon forgetting-nature-of-neural-network

The ability to learn tasks in a sequential fashion is crucial to the development of artificial intelligence. Until now neural networks have not been capable of this and it has been widely thought that catastrophic forgetting is an inevitable feature of connectionist models.

gym-envs icon gym-envs

Set of custom environments for the OpenAI Gym

homemade-machine-learning icon homemade-machine-learning

šŸ¤– Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

iit_madras_days icon iit_madras_days

Collection of the materials gathered course work done during my whole time

jaxstormer icon jaxstormer

Welcome to the JAX Machine Learning Practice repository! This repository contains practice code for implementing various machine learning algorithms using JAX, a numerical computing library that provides automatic differentiation and GPU/TPU acceleration.

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