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超本能
:octocat:
超本能
  • Abu Dhabi
  • 14:29 (UTC +04:00)

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dPacc/README.md

Hi there, thanks for dropping by!

Welcome!

I'm Deepak, a Machine Learning Architect and a Full Stack Engineer


Languages

Python JavaScript

Technologies

AWS GCP Docker Kubernetes Linux TensorFlow Keras PyTorch Node.js Django Flask React

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  1. DLonKubernetes DLonKubernetes Public

    A Deep Learning model served as a REST API using Flask, Docker for containerization and Kubernetes for orchestration on GCP

    Python 2

  2. kafka kafka Public

    The only guide you need to learn Apache Kafka

    2

  3. Machine-Learning Machine-Learning Public

    Using Regression, Classification, Clustering and Association-Rule Learning for solving several Machine-Learning problems. Dimensionality-Reduction techniques like PCA, LDA and Kernel-PCA

    Jupyter Notebook 3

  4. Deep-Learning Deep-Learning Public

    To solve problems in Deep-Learning using ANN, CNN, RNN, Self-Organizing-Maps, Boltzmann Machines and AutoEncoders

    Jupyter Notebook 5 1

  5. Deep-Learning-in-Production Deep-Learning-in-Production Public

    Forked from ahkarami/Deep-Learning-in-Production

    In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

    1

  6. mongoviz mongoviz Public

    MongoViz is a command-line tool designed to generate Entity-Relationship Diagrams (ERD) from Mongoose models in your Node.js applications. It helps visualize the relationships between the database …

    JavaScript 1