Machine learning algorithms step by step with explanation

A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.

Mappings of problems from the book Elements of Programming Interviews (EPI) to Leetcode

Benchmark datasets, data loaders, and evaluators for graph machine learning

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

Lime: Explaining the predictions of any machine learning classifier

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…

A repo for data science related questions and answers

The Perfect Python Project Template. Bored of coding anew the same thing for your new Python projects? Here is what you need. Click below on the "use this template" green button to start using it i…

Course material and references for Campus To Corporate course, 2017.

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

Released assignments for the Stanford's CS131 course on Computer Vision.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

This repository contains the implementation of deep learning courses by Andrew ng on Coursera

Project to generate Fake Reviews using Tensorflow's word RNN model with text smoothing technique

PyTorch Tutorial for Deep Learning Researchers