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Hi there πŸ‘‹

  • πŸ•ΈοΈ To get to know about my work and get the latese on Machine Learning visit my website

  • 🌱 I’m currently learning Hands-on Machine Learning with Scikit-learn, Keras and Tensorflow

  • πŸ‘― I’m looking to collaborate on applied AI projects.

  • πŸ’¬ Ask me about Android,Deep-Learning,Java,Python.

  • πŸ“« How to reach me: send an email to [email protected] or ping me in telegram @Abhijit_Ramesh or yet just google me

  • πŸ˜„ Pronouns: He/Him/His

  • ⚑ Fun fact: I set at alarm for 5am and end up sleeping at that time.

Abhijit's Stats

Abhijit Ramesh's Projects

dart icon dart

A collection of programs I made while learning dart.

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deploying_ml_models icon deploying_ml_models

This repository would contain samples and walkthroughs on deploying machine learning algorithms to the cloud

django_for_everybody icon django_for_everybody

This repository contains the projects I build while following long DJ4E tutorial. If what you find here interest you please visit this repository https://github.com/csev/dj4e-samples

dsa icon dsa

Data Structures and Algorithms (Swaminathan J)

dsa-java icon dsa-java

This repository would contatin all the data-structures that I learn, implemented in Java.

embeddingsandword2vec icon embeddingsandword2vec

This repository will contain detailed explanations of embeddings and Word2Vec for deep learning

facebook-page-post-scraper icon facebook-page-post-scraper

Data scraper for Facebook Pages, and also code accompanying the blog post How to Scrape Data From Facebook Page Posts for Statistical Analysis

fast_ai icon fast_ai

This repository will contain all the projects which I have created while doing the fast.ai course

focus-android icon focus-android

Firefox Focus: The privacy browser - Browse like no one’s watching.

gan-under-the-hood icon gan-under-the-hood

This repository would contain detailed explanation of how GANs work and implementation of some GAN models

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