A Python toolbox for performing gradient-free optimization
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Fast and efficient CSS optimizer for node.js and the Web
- css
- minification
- optimization
- css-optimizations
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
- mesa
- agent-based-modeling
- agent-based-simulation
- simulation-framework
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
- tensorflow
- deep-neural-network
- genomics
- science
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
- python
- machine-learning
- deep-learning
- pytorch
Math.NET Numerics
- math
- numerics
- linear-algebra
- fsharp
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
- end-to-end-autonomous-driving
- autonomous-driving
- policy-learning
- simulation
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
- quantum
- quantum-computing
- quantum-programming-language
- machine-learning
Local support for Tuya devices in Home Assistant
- tuya
- climate
- home-assistant
- pool-heaters
A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
- differential-equations
- differentialequations
- julia
- ode
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
- optimization
- multi-objective-optimization
- nsga2
- nsga3
Plan, apply and roll back changes to a production ontology, with a blast radius report and a proof an auditor can re-check.
- ai-native
- description-logics
- knowledge-graph
- mcp
POT : Python Optimal Transport
- optimal-transport
- numerical-optimization
- machine-learning
- emd
Exploit chain for PS5 7.00 - 13.60
Multi-platform, free open source software for visualization and image computing.
- medical-imaging
- vtk
- itk
- python
BLAS-like Library Instantiation Software Framework
- blis
- blas
- blas-libraries
- linear-algebra
The fastest and smallest JavaScript polygon triangulation library for your WebGL apps
- triangulation
- tessellation
- polygon
- algorithm
Message Passing Neural Networks for Molecule Property Prediction
- machine-learning
- chemistry
- neural-networks
- drug-discovery
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
Multiphysics Object Oriented Simulation Environment: A robust, modern, extendable, finite element/finite volume framework that excels at creating complex multiphysics simulations.
- multiphysics
- simulation
- fem
- finite-elements
Optax is a gradient processing and optimization library for JAX.
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript
- optimization
- nonlinear
- derivatives
- code-generation