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antalszava's Projects

bugs-scan icon bugs-scan

Trial repo for scanning bugs across repositories

firebase_tutorial icon firebase_tutorial

A firebase tutorial project that allows accessing the functions described in the getting started document of Firebase here: https://firebase.google.com/docs/functions/get-started?gen=2nd#python

jax icon jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

pennylane icon pennylane

PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations

pennylane-forest icon pennylane-forest

This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.

pennylane-lightning icon pennylane-lightning

The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ using Eigen, for use with PennyLane

piquasso icon piquasso

A Photonic Quantum Computer Simulator written in Python.

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qrng icon qrng

A quantum random number generator using IBM's QISKit.

quantum_network_routing icon quantum_network_routing

Research project at QuTech as part of the Master's thesis of the Computer Science programme at TU Delft.

sbd icon sbd

Supercomputing for Big Data class at TU Delft

smc icon smc

SageMathCloud: collaborative LaTeX, R, Jupyter, Python, SageMath, Octave, Julia

sphinx-action icon sphinx-action

Github action that builds docs using sphinx and places errors inline

sphinx-gallery icon sphinx-gallery

Sphinx extension for automatic generation of an example gallery

strawberryfields icon strawberryfields

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

tutorial-orquestra-sklearn icon tutorial-orquestra-sklearn

# welcome-component Repository for the third [Orquestra Machine Learning Tutorial](http://docs.orquestra.io/tutorials/ml-basic-3/) of Zapata's Orquestra.

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