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gquant

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

hadoop-arch-book

Code repository for O'Reilly Hadoop Application Architectures book

hadoop-book

Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White

handson-ml

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

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.

hol-azure-machine-learning

Introduction to Machine Learning and Azure Machine Learning Services. Hands on labs to show Azure Machine Learning features, developing experiments, feature engineering, R and Python Scripting, Production stage, publishing models as web service, RRS and BES usage

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

hubcommander

A Slack bot for GitHub organization management

imposter-v2

Code and Issues for the Imposter's Handbook, Season 2

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

interpreting-cnn-for-text

introduction-to-big-data-final-project

This is the final project of Introduction to Big Data class.

ipyplot

IPyPlot is a small python package offering fast and efficient plotting of images inside Jupyter Notebooks cells. It's using IPython with HTML for faster, richer and more interactive way of displaying big number of images.

jeffheaton-book-code

Source code from my older (pre Artificial Intelligence for Humans books) books. I am no longer updating these older editions.

jupyterhub-githubauth

Dockerfiles for the IDR analysis platform based on Jupyterhub

keras

Deep Learning for humans

kerasvideo

kubespy

Tools for observing Kubernetes resources in real time

learnai-bootcamp

LearnAI Boot Camp Training Materials

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

live-transcribe-speech-engine

Live Transcribe is an Android application that provides real-time captioning for people who are deaf or hard of hearing. This repository contains the Android client libraries for communicating with Google's Cloud Speech API that are used in Live Transcribe.

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

machine_learning_basics

Plain python implementations of basic machine learning algorithms

machine_learning_examples

A collection of machine learning examples and tutorials.

machinelearning-samples

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

machinelearning-scripts

Scripts for Azure Machine Learning

macos-egpu-cuda-guide

Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU

math-392

A course in mathematical statistics at Reed College.

mermaid

Generation of diagram and flowchart from text in a similar manner as markdown

ml-cheatsheet

Machine learning cheatsheet