marcomaronese

marcomaronese's Stars

• google-deepmind/graphcast

  Language:Python4.6k581

• NirDiamant/Prompt_Engineering

  This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essential resource for mastering the art of effectively communicating with and leveraging large language models in AI applications.

  Language:Jupyter Notebook1k105

• CERN-IT-INNOVATION/quantum-gates

  Noisy Quantum Gates model for simulating the noise of quantum devices.

  Language:Python156

• sami-b95/qaoa_peptide_sampling_paper_data

  Data repository for the arXiv:2204.01821 paper

  Language:Jupyter Notebook1

• Zymrael/awesome-neural-ode

  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

  1.3k150

• rtqichen/torchdiffeq

  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

  Language:Python5.5k919

• xuanqing94/torchdiffeq

  A fork of torchdiffeq

  Language:Python31

• rtqichen/ffjord

  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

  Language:Python625138

• rdisipio/qtransformer

  Quantum-enhanced transformer neural network

  Language:Python11225

• AaltoML/generative-inverse-heat-dissipation

  Code release for the paper Generative Modeling With Inverse Heat Dissipation

  Language:Python587

• google-research/protein-ligand-binding-free-energy-calculations

  Language:Jupyter Notebook114

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.2k3.6k

• xtellurian/QuantumResources

  A collection of resources for Quantum Computing

  4517

• thu-ml/zhusuan

  A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

  Language:Python2.2k418

• keras-rl/keras-rl

  Deep Reinforcement Learning for Keras.

  Language:Python5.5k1.4k

• microsoft/QuantumKatas

  Tutorials and programming exercises for learning Q# and quantum computing

  Language:Jupyter Notebook4.5k1.2k

• quantumlib/Cirq

  A Python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

  Language:Python4.3k1k

• OpenJij/OpenJij

  OpenJij : Framework for the Ising model and QUBO.

  Language:C++9625

• krishnakumarsekar/awesome-quantum-machine-learning

  Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

  Language:HTML2.7k663

• yell/boltzmann-machines

  Boltzmann Machines in TensorFlow with examples

  Language:Jupyter Notebook847134

• MichaelBroughton/Quantum-Backpropagation

  Simple demo showcasing baseline logic for BaQProp to learn "quantum data" [outdated]

  Language:Jupyter Notebook2110

• 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:Python2.3k595

• PennyLaneAI/pennylane-sf

  The PennyLane-SF plugin integrates Xanadu's Strawberry Fields photonic quantum simulators and hardware with PennyLane's quantum machine learning capabilities.

  Language:Python3819

• The-Quantum-Project/QVM

  Quantum Virtual Machine

  Language:C++1912

• 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:Python29986

• milesgep/Quantum-Reinforcement-Learning

  Implementation of QRL

  Language:Python2811

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++186k74.3k

• ozerol/ozerol_rep

  1