Ryan J. McCall's starred repositories
effective-java-3e-source-code
The source code from the third edition of Effective Java, with minor additions as necessary to make it runnable.
machine-learning-interview-questions
This repository is to prepare for Machine Learning interviews.
self_supervised
A Pytorch-Lightning implementation of self-supervised algorithms
deep-learning-implementations
Implementation of deep learning algorithms and papers. Python, Tensorflow, PyTorch.
cd4ml-workshop
Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
docker-for-data-science-tutorial
Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
cookiecutter
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
production-data-science
Production Data Science: a workflow for collaborative data science aimed at production
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
python-cheatsheet
Comprehensive Python Cheatsheet
light_curve_ml
Light curve classification prototyping
handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
nupic.torch
Numenta Platform for Intelligent Computing PyTorch libraries
Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
og-equity-compensation
Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
alert_packet
Alert schemas in Avro format.
alert_stream
Mock alert stream distribution system using Kafka producers and consumers.