mario-ambrosino

mario-ambrosino's Stars

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook27.6k65551212.7k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  15.8k601173k

• bitfield/script

  Making it easy to write shell-like scripts in Go

  Language:Go5.3k40125305

• chrieke/awesome-satellite-imagery-datasets

  🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

  3.6k17617639

• PennyLaneAI/pennylane

  PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

  Language:Python2.3k461.3k584

• ckreibich/scholar.py

  A parser for Google Scholar, written in Python

  Language:Python2.1k10181777

• XanaduAI/strawberryfields

  Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.

  Language:Python74436139187

• qojulia/QuantumOptics.jl

  Library for the numerical simulation of closed as well as open quantum systems.

  Language:Julia52725131103

• taspinar/siml

  Machine Learning algorithms implemented from scratch

  Language:Jupyter Notebook4833911257

• artix41/awesome-quantum-ml

  Curated list of awesome papers and resources in quantum machine learning

  36422181

• XanaduAI/quantum-neural-networks

  This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.

  Language:Python29725886

• Reference-LAPACK/lapack-pre-github-historical-releases

  LAPACK official release branches

  12727651

• XanaduAI/quantum-learning

  This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".

  Language:Jupyter Notebook11117336

• gplepage/vegas

  Adaptive multidimensional Monte Carlo integration.

  Language:Cython103113625

• rigetti/quantumflow

  QuantumFlow: A Quantum Algorithms Development Toolkit

  Language:Python9516021

• QuantumBFS/QuAlgorithmZoo.jl

  A curated implementation of quantum algorithms with Yao.jl

  Language:Julia937618

• gecrooks/quantumflow

  QuantumFlow: A Quantum Algorithms Development Toolkit

  Language:Python591310

• entropicalabs/entropica_qaoa

  WARNING - This package is no longer supported. EntropicaQAOA is a modular package for the quantum approximate optimisation algorithm (QAOA) built on top of Rigetti’s Forest SDK.

  Language:Python5010322

• zapatacomputing/cusp_cirq_demo

  Demonstration of CUSP algorithm using Cirq

  Language:Python382409

• DavideMagno/ItalianCovidData

  Historical data about Covid19 epidemic in Italy

  Language:R371138

• hsim13372/QCompress-1

  Quantum Autoencoder Implementation using Forest and OpenFermion

  Language:Jupyter Notebook21405

• kareem1925/Ismailia-school-of-AI

  Introduction about AI, quantum machine learning, and computational models

  Language:Jupyter Notebook212011

• XanaduAI/constrained-quantum-learning

  This repository contains the source code used to produce the results presented in the paper "Near-deterministic production of universal quantum photonic gates enhanced by machine learning".

  Language:Python21709

• arxivtimesquantum/arxivTimesQuantum

  repository to research & share the quantum information articles

  157222

• obliviateandsurrender/Quantum-Boltzmann-Machine

  Implementation of an algorithm for training Quantum Boltzmann Machine neural networks using variational methods. Based on https://arxiv.org/abs/1712.05304 and their sample code.

  Language:Python12302

• lewis-od/QNN

  Implementation of a quantum neural network using Strawberry Fields and TensorFlow

  Language:Python8513

• adelshb/Quantum-Machine-Learning-for-Titanic-on-IBM-Q

  Predict survival on the Titanic on a Quantum Computer

  Language:Jupyter Notebook60110

• dv-gorasiya/quantum-machine-learning

  Credit Risk Identification with Quantum Support Vector Machine (qSVM-Qiskit)

  Language:Jupyter Notebook4005

• mdharris1/CDSquaredNotes

  This repository is intended to document my journey from learning the formal science subjects to making meaningful practical and creative contributions (Hopefully)

  41

• DylanTartarini1996/google_trends

  Collection of notebooks written while learning to work with Google Trends API.

  Language:Jupyter Notebook2100