Topic modeling with word vectors

Dask tutorial

A collection of RAPIDS examples for security analysts, data scientists, and engineers to quickly get started applying RAPIDS and GPU acceleration to real-world cybersecurity use cases.

Periodic Spatial Generative Adversarial Networks

Tutorial how to use xgboost

A python library for decision tree visualization and model interpretation.

Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8

Detecting cinema shot types using a ResNet-50

Curated list of open-access databases with human structural MRI data

Code samples and materials to help you learn to access SAS Viya services by writing programs in Python and other open-source languages

Source code for the book, Math for Programmers

Porting the R code in ISL to python. Labs and exercises

A new test set for ImageNet

machine learning

A curated list of awesome embedding models tutorials, projects and communities.

Simple but Flexible Recommendation Engine in PyTorch

BioBert Pytorch

This github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance