Syed Tauhid Ullah Shah's Projects
Syllabus for Part 2 of Nature of Code: "Intelligence and Learning" at ITP Spring 2017 Edit
Learning some Numerical Analysis
Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series
Object-Oriented Programming concepts, with Python
Some deep learning based recsys for open learning.
Tutorial on Using Pandas
Material for the pandas tutorial at EuroScipy 2016
Practice your pandas skills!
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[Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky
This is a new deep learning model for recommender system, which we called PHD
Simple multi-class text classifier using Bert
ML implementations for practical use
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Tutorials of data science concepts and packages in Python
Python Data Science Handbook: full text in Jupyter Notebooks
95.47% on CIFAR10 with PyTorch
pytorch learning tutorials
A Collection of Variational Autoencoders (VAE) in PyTorch.
Python code prepared as a part of the Coursera specialization
This repository includes some papers that I have read or which I think may be very interesting.
RecQ: A Python Framework for Recommender Systems (TensorFlow Supported)
A living collection of deep learning problems
Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"
Must-read papers on Recommender System.
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec