This is a place to host and share data science notebooks that range from beginner tutorials for deep learing to deep dives of complex topics such as Transformers for NLP and object detection for CV.

Sharing is easy! Just upload your notebooks to the _notebooks folder of the repo.

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• A Simple Neural Network from Scratch with PyTorch and Google Colab

  In this tutorial we implement a simple neural network from scratch using PyTorch.

  Mar 19, 2020

• Fundamentals of NLP - Chapter 1 - Tokenization, Lemmatization, Stemming, and Sentence Segmentation

  The first chapter of the fundamental of NLP series.

  Mar 19, 2020

• Writing Primer for Data Scientists

  A guide for writing outstanding data science tutorials.

  Mar 19, 2020

• PyTorch 1.2 Quickstart with Google Colab

  Learn about PyTorch's basic building blocks to build and train a CNN model for image classification.

  Mar 18, 2020

• Implementing A Logistic Regression Model from Scratch with PyTorch

  Learn how to implement the fundamental building blocks of a neural network using PyTorch.

  Mar 18, 2020

• A First Shot at Deep Learning with PyTorch

  Create a hello world for deep learning using PyTorch.

  Mar 18, 2020

• Building RNNs is Fun with PyTorch and Google Colab

  This notebook teaches you how to build a recurrent neural network (RNN) with a single layer, consisting of one single neuron. It also teaches how to implement a simple RNN-based model for image classification.

  Mar 18, 2020

• A Gentle Introduction to PyTorch 1.2

  This comprehensive tutorial aims to introduce the fundamentals of PyTorch building blocks for training neural networks.

  Mar 18, 2020