586 Open source projects that are alternatives of or similar to Quantum Neural Networks

A JuMP-based Nonlinear Integer Program Solver

A Multi-Qubit Ideal Quantum Computer Simulator

Tutorials and programming exercises for learning Q# and quantum computing

svg path sorter for more efficient (pen)plotting.

These usercontent and userchrome files will give a full themed dark color to Firefox Quantum, menus and dialogs included, as well as the scrollbars. You can also use the JS files to enable multirow tabs and other functions.

Because all problems are solvable with containers and blockchains

Repository containing monthly challenges about quantum computing.

Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices

A polyhedral compiler for expressing fast and portable data parallel algorithms

Visualize your React components as you interact with your application.

Operator Discretization Library https://odlgroup.github.io/odl/

A Free and Open Source Python Library for Multiobjective Optimization

Poodle - Python framework for AI Planning and automated programming

graph based intermediate representation and backend for optimising compilers

General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

Command-line control panel for Nginx Server to manage WordPress sites running on Nginx, PHP, MySQL, and Let's Encrypt

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

Optimization functions for Julia

Arrays with arbitrarily nested named components.

⟨Leibniz-Grassmann-Clifford⟩ differential geometric algebra / multivector simplicial complex

On-device Neural Engine

Laravel Image Management and Optimization Package

Source repo for the book

🔍 A helpful checklist/collection of Search Engine Optimization (SEO) tips and techniques.

Curated list of open-source quantum software projects.

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

papers on scalable and efficient machine learning systems

Reducing memory allocations from 7.5GB to 32KB

A Python library for quantum programming using Quil.

Python package for signal processing, with emphasis on iterative methods

Module for portfolio optimization, prices and options

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Machine learning algorithms for many-body quantum systems

Fast Robot Optimization and Simulation Toolkit (FROST)

Process Map Visualization of event analysis in R

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

Python wrapper to the DIRECT global optimization algorithm with scipy.optimize compatible call syntax

PoWA user interface

Experimenting with running built Elm programs through Prepack

Stochastic Dual Dynamic Programming in Julia

A single header-only C++ library for least squares fitting.

A bare-bones Python library for quality diversity optimization.

a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)

EvalML is an AutoML library written in python.

A JuMP-based Global Optimization Solver for Non-convex Programs

A redis clone in Python 3 to disprove some falsehoods about performance.

Repo and code of the IEEE UIC paper: Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices

A circuit toolkit

A simulation framework for Robotic Mobile Fulfillment Systems

Improved LBFGS optimizer in PyTorch.

Code repository for the paper "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware"

Max-value Entropy Search for Efficient Bayesian Optimization

⚡️ A lightning fast HTTP router

Desugaring scala `for` without implicit `withFilter`s

Unreachable code path optimization hint for Swift

Jenetics - Genetic Algorithm, Genetic Programming, Evolutionary Algorithm, and Multi-objective Optimization

A fast and robust point cloud registration library

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

IQA: Deep Image Structure and Texture Similarity Metric

A drag-and-drop quantum circuit simulator that runs in your browser. A toy for exploring and understanding small quantum circuits.