Reverse Dependencies of scikit-optimize

The following projects have a declared dependency on scikit-optimize:

• aideml — Autonomous AI for Data Science and Machine Learning
• AIStructDynSolve — A framework focused on solving structural dynamics problems using artificial intelligence (AI) methods
• alphaml — Build a CLETE Binary Classification Model
• anomalearn — A modular and extensible end-to-end library for time series anomaly detection
• aphin — Autoencoder-based port-Hamiltonian Identification Networks (ApHIN) is a Python package for structure-preserving model order reduction and system identification of port-Hamiltonian systems.
• argsearch — Run a command many times with different combinations of its inputs.
• AstroSubtractor — Machine learning classifier
• auto-machine-learning — This is an python Library for AutoML which works for prediction and classification tasks.
• auto-zkml — no summary
• autoforecast — AutoML time series forecasting
• automate-ML — A python module to solve machine learning problems in a mechanized way. The repository is able to preprocess the data and output the results in numerical as well as in the graphical form.
• autonon — Organon Automated ML Platform
• autopdex — An automized PDE solver for accelerators based on JAX
• autoPyTorch — Auto-PyTorch searches neural architectures using smac
• bask — A fully Bayesian implementation of sequential model-based optimization
• bayesKMeans — Finding optimal k in k-means using bayesian optimization
• bbopt — The easiest hyperparameter optimization you'll ever do.
• bciavm — bciAVM is a machine learning pipeline used to predict property prices.
• boar-pv — High throughput parameter extraction and experimental design with Bayesian optimization
• brian2modelfitting — Modelfitting Toolbox for the Brian 2 simulator
• bucky-covid — The Bucky model is a spatial SEIR model for simulating COVID-19 at the county level.
• causallift — CausalLift: Python package for Uplift Modeling for A/B testing and observational data.
• chess-tuning-tools — A collection of tools for local and distributed tuning of chess engines.
• cheutils — A set of basic reusable utilities and tools to facilitate quickly getting up and going on any machine learning project.
• circadipy — Tool for analyzing and visualizing circadian cycle data
• clep — A Hybrid Data and Knowledge Driven Framework for Generating Patient Representations
• climaticai — climaticai is a library that builds, optimizes, and evaluates machine learning pipelines
• clustermatic — Python AutoML library for clustering tasks
• comets — CoMETS, the Cosmo Model Experimentation Toolbox, is a Python library for experimenting with numerical models and simulators
• compas_surrogate.lnl_surrogate — Build a surrogate for your LnL(d|θ)± ΔLnL(d|θ)
• cotengra — Hyper optimized contraction trees for large tensor networks and einsums.
• csrank — Context-sensitive ranking
• cuBNM — A toolbox for biophysical network modeling on GPUs
• dataramp — A Data science library for data science / data analysis teams
• datasafari — DataSafari simplifies complex data science tasks into straightforward, powerful one-liners.
• decavision — A package to easily train powerful image classification models using colab's free TPUs.
• deepaugment — Discover augmentation strategies tailored for your data
• DeepXDE — A library for scientific machine learning
• detoxai — todo
• DLHelper — Tensorflow/keras based toolset to speed up DL model creation and training
• dsbundle — Streamline your data science setup with dsbundle in one effortless install.
• dsto-gan — Biblioteca para balanceamento de dados tabulares com Deep SMOTE Optimize.
• eagles — Data science utility package to help practitioners do ML and EDA work.
• eir-auto-gp — no summary
• epidemia — Modelling COVID-19 using SIR-like models
• estim8 — A parameter estimation tool for DAE models implemented compliant to the Functional Mockup Interface
• estim8Beta — Conduct parameter estimations for Dymola and FMU models
• evalml — an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions
• exp — Python tool do design and run experiments with global optimisation and grid search
• falcon-datamover — Online File Transfer Optimization
• faropt — Fargate based Numerical Optimization Template
• featureranker — Feature ranking ensemble
• fedot — Automated machine learning framework for composite pipelines
• fedot-example-test — Evolutionary structural learning framework FEDOT
• fedsim — Generic Federated Learning Simulator with PyTorch
• feijoa — Hyperparameter's optimization framework
• flexynesis — A deep-learning based multi-omics bulk sequencing data integration suite with a focus on (pre-)clinical endpoint prediction.
• Galaxy-ML — Galaxy Machine Learning Library
• giza-zkcook — no summary
• gpforecaster — Hierarchical time series forecasting model using Gaussian Processes
• GreenHEART — Green Hydrogen Energy and Renewable Technologies
• groupyr — groupyr: Sparse Groups Lasso in Python
• gt4sd — Generative Toolkit for Scientific Discovery (GT4SD).
• harlow — Adaptive surrogate modelling
• hexfarm — Rutgers HEX Computing Utility Library
• HlightReaxMD — Projects for analysis of cascade collision processes and molecular chemical reactions
• hyperparameter-hunter — Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
• icarus-fusion — A machine learning tool for fusion simulation validation.
• idrlnet — IDRLnet
• impartial-text-cls — Text classifier, based on the BERT and a Bayesian neural network, which can train on small labeled texts and doubt its decision
• InDiCA — INtegrated DIagnostiC Analysis
• instancespace — no summary
• InterOptimus — High througput simulation making crystalline interfaces
• iqm-benchmarks — A package for implementation of Quantum Characterization, Verification and Validation (QCVV) techniques on IQM's hardware at gate level abstraction
• JakeSilberstein-ML — Non-Functional Machine Learning Library
• JakeSilbersteinMachineLearning — Non-Functional Machine Learning Library
• JSML — Non-Functional Machine Learning Library
• julearn — Juelich Machine Learning Library
• kmerpapa — Tool to calculate a k-mer pattern partition from position specific k-mer counts.
• LabQuant — LabQuant is a tool to support the development and evaluation of algo-strategies in quantitative finance.
• lava-optimization — A library of solvers that leverage neuromorphic hardware for constrained optimization. Lava-Optimization is part of Lava Framework. Lava-optimization is part of Lava Framework
• light-automl — no summary
• lite-bo — Efficient and generalized blackbox optimization (BBO) system
• LogLead — LogLead stands for Log Loader, Enhancer, and Anomaly Detector
• lookout-style — Machine learning-based assisted code review - code style analyzers.
• lp-Aicloud — this a aicloud
• lucit-backtesting — Backtest trading strategies in Python
• luntaiDs — Make Data Scientist life Easier Tool
• madcat — # MadCat
• mambular — A python package for tabular deep learning with mamba blocks.
• mastml — MAterials Simulation Toolkit - Machine Learning
• MicroLIA — Machine learning classifier for microlensing
• mindware — MindWare: Towards Efficient AutoML System.
• ml-engine — Machine learning engine
• ml-tooling — A library for machine learning utilities
• mle-hyperopt — Machine Learning Experiment Hyperparameter Optimization
• model-tuner — A Python library for training and tuning machine learning models.
• MoleculeACE — MoleculeACE
• Molml-tools — A collection of tools for molecular machine learning
• Motmauto — Refer to Readme