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Andrzej Chuchmała's Projects

brian2cuda icon brian2cuda

A brian2 extension to simulate spiking neural networks on GPUs

diffeqflux.jl icon diffeqflux.jl

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

distributions.jl icon distributions.jl

A Julia package for probability distributions and associated functions.

dwave-ocean-qubo-examples icon dwave-ocean-qubo-examples

My attempt to implement problems described "A Tutorial on Formulating and Using QUBO Models" (https://arxiv.org/pdf/1811.11538.pdf) using D-Wave Ocean SDK in Python and solving on D-Wave Quantum Computer

flux.jl icon flux.jl

Relax! Flux is the ML library that doesn't make you tensor

gpuarrays.jl icon gpuarrays.jl

Reusable array functionality for Julia's various GPU backends.

itensors.jl icon itensors.jl

A Julia library for efficient tensor computations and tensor network calculations

itensorsgpu.jl icon itensorsgpu.jl

Extension of the Intelligent Tensors library to take advantage of fast GPU-based linear algebra

julia icon julia

The Julia Programming Language

norse icon norse

Deep learning with spiking neural networks (SNNs) in PyTorch.

optimisers.jl icon optimisers.jl

Optimisers.jl defines many standard optimisers and utilities for learning loops.

pastaq.jl icon pastaq.jl

Package for Simulation, Tomography and Analysis of Quantum Computers

pennylane icon 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.

qiskit icon qiskit

Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.

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