Stars
A Practical Guide to Quantum Machine Learning and Quantum Optimization, published by Packt
Robust Speech Recognition via Large-Scale Weak Supervision
Quantum Advantage Seeker with kernel
An open access book on scientific visualization using python and matplotlib
"Probabilistic Machine Learning" - a book series by Kevin Murphy
My attempt at researching Quantum Mechanics & Quantum Computing when I was a junior.
Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples
A curated list of awesome quantum computing learning and developing resources.
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…
Companion webpage for the book "Bayesian Optimization" by Roman Garnett
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
A high-level Python library for Quantum Natural Language Processing
Quantum Machine Learning
The Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane.
Efficient Python Tricks and Tools for Data Scientists
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
A Quantum circuit simulator based on Restricted Boltzmann Machines.
The power of quantum neural networks
Main Book repository for the Parallel and High Performance Computing book, Manning Publications
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019
Official repo for QHack—the quantum machine learning hackathon
QOSF mentorship program