emildi's repositories
qml
Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.
pennylane
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
A Practical Guide to Quantum Machine Learning and Quantum Optimization, published by Packt
whisper
Robust Speech Recognition via Large-Scale Weak Supervision
pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
scaling-python-with-ray
Serverless Python with Ray
Combinatorial-Optimization-Quantum-Embeddings
Quantum Advantage Seeker with kernel
Q
My attempt at researching Quantum Mechanics & Quantum Computing.
thundersvm
ThunderSVM: A Fast SVM Library on GPUs and CPUs
cuQuantum
Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples
awesome-quantum-computing
A curated list of awesome quantum computing learning and developing resources.
quantumcomputingbook
Companion site for the textbook Quantum Computing: An Applied Approach
bayesoptbook.github.io
Companion webpage for the book "Bayesian Optimization" by Roman Garnett
qiskit-machine-learning
Quantum Machine Learning
SV-Sim
SV-Sim: Scalable PGAS-based State Vector Simulation of Quantum Circuits
DM-Sim
DM-Sim: Quantum Simulator on GPU Cluster using Density Matrix
Efficient_Python_tricks_and_tools_for_data_scientists
Efficient Python Tricks and Tools for Data Scientists
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
gpu-python-tutorial
GPU Development in Python 101 tutorial
QSSL
Code for Quantum Self-Supervised Learning
effective_dimension
The power of quantum neural networks
EssentialsOfParallelComputing
Main Book repository for the Parallel and High Performance Computing book, Manning Publications
pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
QubitRBM
A Quantum circuit simulator based on Restricted Boltzmann Machines.
QHack
Official repo for QHack—the quantum machine learning hackathon
pytorch-GAT
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 entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!