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Hello There πŸ‘‹

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About me:

πŸŽ“ I'm a B.Tech ICT-CS student at DAIICT.

  • A Full stack Developer and an Open Source Contributor. I have worked with Web Framework like Django.

Website Github

GitHub Stats πŸ“Š:

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Β  Python

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Devdeep Shetranjiwala's Projects

100-days-of-code icon 100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

awesome-resources icon awesome-resources

πŸ”₯Awesome Resources, Bookmarks, Websites and Stars of the Web! 😎πŸ”₯

cypress-realworld-app icon cypress-realworld-app

A payment application to demonstrate real-world usage of Cypress testing methods, patterns, and workflows.

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-uncertainty icon deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

dl-uncertainty icon dl-uncertainty

"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

firestore-apollo-graphql icon firestore-apollo-graphql

An example of a GraphQL setup with a Firebase Firestore backend. Uses Apollo Engine/Server 2.0 and deployed to Google App Engine.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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