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about-graphviz

about Graphviz

binary-vae

A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.

d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.

dftbplus

DFTB+ general package for performing fast atomistic simulations

dimod

A shared API for QUBO/Ising samplers.

docs

D-Wave Ocean Documentation

dvae

Tensorflow implementation of DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors

dwave-system

dwave_networkx

Source repository for D-Wave NetworkX.

edif2qmasm

Run hardware descriptions on a quantum annealer

embera

embera offers a collection of minor-embedding resources and algorithms.

escvm_yt

EscVM YouTube Channel Repository. Start from Notebooks ⬅️

machsuite-legup

minorminer

minorminer is a heuristic tool for minor embedding: given a minor and target graph, it tries to find a mapping that embeds the minor into the target.

moss.py

Python client for Moss: A System for Detecting Software Similarity

nbgrader

A system for assigning and grading notebooks

networkx

Network Analysis in Python

nextpnr

nextpnr portable FPGA place and route tool

notepads

A modern, stylish text editor with minimum design.

opensocfabric

OpenSoC Fabric - A Network-On-Chip Generator

partition

placer

pydeep

PyDeep is a machine learning / deep learning library with focus on unsupervised learning. The library has a modular design, is well documented and purely written in Python/Numpy. This allows you to understand, use, modify, and debug the code easily. Furthermore, its extensive use of unittests assures a high level of reliability and correctness.

pyrtl

A collection of classes providing simple hardware specification, simulation, tracing, and testing suitable for teaching and research. Simplicity, usability, clarity, and extendability rather than performance or optimization is the overarching goal.

pytorchviz

A small package to create visualizations of PyTorch execution graphs

qaml_demo

qboost

qca-tools

Methods and utilities to simulate QCA circuits using D-Wave

qhack2024

qmasm

Quantum macro assembler for D-Wave systems