Reverse Dependencies of cma

The following projects have a declared dependency on cma:

• acqdp — Alibaba Cloud Quantum Development Platform
• adversarial-robustness-toolbox — Toolbox for adversarial machine learning.
• ast-toolbox — A toolbox for worst-case validation of autonomous policies
• bayeso — Simple, but essential Bayesian optimization package
• bbo-egl — A package of black-box optimization (BBO) algorithms.
• beanmachine — Probabilistic Programming Language for Bayesian Inference
• bionemo-controlled-generation — Guided molecule generation via the BioNemo cloud service
• botorch — Bayesian Optimization in PyTorch
• c3-toolset — Toolset for control, calibration and characterization of physical systems
• c3-toolset-nightly — Toolset for control, calibration and characterization of physical systems
• ccsi-foqus — FOQUS tool for Simulation based Optimization, Uncertainty Quantification, and Surrogate modeling
• chsel — Constrained pose Hypothesis Set Elimination official code for pose estimation
• coexist — Learning simulation parameters from experimental data, from the micro to the macro, from the laptop to the cluster.
• comets — CoMETS, the Cosmo Model Experimentation Toolbox, is a Python library for experimenting with numerical models and simulators
• comocma — Multiobjective framework Sofomore, instantiated withthe single-objective solver CMA-ES to obtainthe Multiobjective evolutionary algorithm COMO-CMA-ES.
• conformal-region-designer — Creates intelligently shaped conformal prediction regions that respect multimodality and convexity.
• CosmoTech-SupplyChain — A support package for Cosmotech SupplyChain
• CrysFieldExplorer — Fast optimization of CEF Hamiltonian
• csle-agents — Reinforcement learning agents for CSLE
• dessia-common — Common tools for DessIA software
• dibb — DiBB: Distributing Black-Box optimization
• electrokitty — A simulation and simple analysis tool for electrochemical data
• evojax — EvoJAX: Hardware-accelerated Neuroevolution.
• evolutionary-keras — no summary
• evopt — User Friendly Data-Driven Numerical Optimization
• evotorch — EvoTorch is an advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
• flexs — FLEXS: an open simulation environment for developing and comparing model-guided biological sequence design algorithms.
• hello-robot-stretch-body — Stretch Body low level Python API
• hello-robot-stretch-body-dev — Stretch RE1 low level Python API
• hello-robot-stretch-body-tools — Stretch Body Tools
• hello-robot-stretch-body-tools-dev — Stretch Body Tools
• humanmodels — Human-designed models for classification and regression
• hydra-nevergrad-sweeper — Hydra Nevergrad Sweeper plugin
• hypermapper — HyperMapper is a multi-objective black-box optimization tool based on Bayesian Optimization.
• linien-server — Server components of the Linien spectroscopy lock application.
• lppls — A Python module for fitting the LPPLS model to data.
• lppls-w — A Python module for fitting the LPPLS model to data.
• mcnntunes — MC Neural Network Tunes
• mergekit — Tools for merging pre-trained large language models
• msa-toolbox — MSA Toolbox
• nevergrad — A Python toolbox for performing gradient-free optimization
• olymp — Benchmarking framework for noisy optimization and experiment planning
• openbox — Efficient and generalized blackbox optimization (BBO) system
• openvino-openai-api — OpenAI Compatible API Server using OpenVINO GenAI
• optilab — Simple framework for optimization functions and metamodels
• optuna — A hyperparameter optimization framework
• optuna-integration — Integration libraries of Optuna.
• pept — A Python library that unifies Positron Emission Particle Tracking (PEPT) research, including tracking, simulation, data analysis and visualisation tools.
• pints — Probabilistic Inference in Noisy Time-Series
• PyElastica — Elastica is a software to simulate the dynamics of filaments that, at every cross-section, can undergo all six possible modes of deformation, allowing the filament to bend, twist, stretch and shear, while interacting with complex environments via muscular activity, surface contact, friction and hydrodynamics.
• pyhms — The HMS (Hierarchic Memetic Strategy) is a composite global optimization strategy consisting of a multi-population evolutionary strategy and some auxiliary methods. The HMS makes use of a tree with a fixed maximal height and variable internal node degree. Each component population is governed by a particular evolutionary engine. This package provides a simple python implementation with examples of using different population engines.
• PyIBS — Inverse Binomial Sampling in Python.
• pymoo — Multi-Objective Optimization in Python
• pypesto — python-based Parameter EStimation TOolbox
• pyrobolearn — A Python framework for roboticists and machine learning practitioners
• PyRoss — PyRoss is a numerical library for inference, forecasts, and optimal control of epidemiological models in Python
• pytorch-mppi — Model Predictive Path Integral (MPPI) implemented in pytorch
• qdpy — Quality-Diversity algorithms in Python
• qibo — A framework for quantum computing with hardware acceleration.
• qibocal — Qibo's quantum calibration, characterization and validation module.
• qsearch — Search-Based Quantum Synthesis/Compilation
• quant1x — Quant1X量化交易框架
• quark-famework — Framework for Quantum Computing Application Benchmarking
• ribs — A bare-bones Python library for quality diversity optimization.
• search-compiler — Search-Based Quantum Synthesis/Compilation
• seldonian-engine — Core library for Seldonian algorithms
• sergio-scSim — SERGIO is a simulator for single-cell expression data guided by gene regulatory networks.
• sgptools — Software Suite for Sensor Placement and Informative Path Planning
• smefit — Standard Model Effective Field Theory Fitter
• studioml — TensorFlow model and data management tool
• tai-jaix — no summary
• test-engine — Core library for Seldonian algorithms
• tidy3d — A fast FDTD solver
• torcpy — TORC Tasking library
• XBBO — A Python toolbox for performing Black-Box Optimization.