Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

A Practical Guide to Quantum Machine Learning and Quantum Optimization, published by Packt

Robust Speech Recognition via Large-Scale Weak Supervision

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Serverless Python with Ray

Quantum Advantage Seeker with kernel

My attempt at researching Quantum Mechanics & Quantum Computing.

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples

A curated list of awesome quantum computing learning and developing resources.

Companion site for the textbook Quantum Computing: An Applied Approach

Companion webpage for the book "Bayesian Optimization" by Roman Garnett

Quantum Machine Learning

SV-Sim: Scalable PGAS-based State Vector Simulation of Quantum Circuits

DM-Sim: Quantum Simulator on GPU Cluster using Density Matrix

Efficient Python Tricks and Tools for Data Scientists

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

GPU Development in Python 101 tutorial

Code for Quantum Self-Supervised Learning

The power of quantum neural networks

Main Book repository for the Parallel and High Performance Computing book, Manning Publications

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

A Quantum circuit simulator based on Restricted Boltzmann Machines.

Official repo for QHack—the quantum machine learning hackathon