Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Base classes to use when writing tests with Spark
Bare bones Python implementations of some of the foundational Machine Learning models and algorithms.
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
A chess adaption of GCP's Leela Zero
CapitalOne DevOps Dashboard
Practice your pandas skills!
Plain python implementations of basic machine learning algorithms
Minimalist and dependency-free deep learning using caffe64 (written in assembly)
Benchmark for different operations in pandas against various dataframe sizes.
Spark training material
Automatically "block" people in images (like Black Mirror) using a pretrained neural network.
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Example code from Learning Spark book
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
An interactive book on deep learning, in concept and in MXNet
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
Pytorch easy-to-follow step-by-step Deep Q Learning tutorial with clean readable code.
Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
The "Python Machine Learning (1st edition)" book code repository and info resource
Reinforcement learning environments with musculoskeletal models
The repository for the book "Paradigms of Artificial Intelligence Programming" with Lisp code
The fast.ai deep learning library, lessons, and tutorials
Minimal and clean examples of machine learning algorithms
Python script for illustrating Convolutional Neural Network (ConvNet)
The AI can paint on a sketch accroding to a given specific color style.
Deep learning gateway on Raspberry Pi
Music and Art Generation with Machine Intelligence
A self-service, highly-accurate, and lightweight wake word detection engine. It enables developers to build always-listening voice-enabled applications/platforms