Reverse Dependencies of scikit-optimize

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

• adaptive — Parallel active learning of mathematical functions
• aideml — Autonomous AI for Data Science and Machine Learning
• alphaml — Build a CLETE Binary Classification Model
• anomalearn — A modular and extensible end-to-end library for time series anomaly detection
• 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.
• autoemulate — An emulator platform for Digital Twins
• 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
• 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.
• bezzanlabs.treemachine — An AutoML companion to fit tree models easily
• 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.
• 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
• comets — CoMETS, the Cosmo Model Experimentation Toolbox, is a Python library for experimenting with numerical models and simulators
• csrank — Context-sensitive ranking
• cuBNM — A toolbox for biophysical network modeling on GPUs
• 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
• DLHelper — Tensorflow/keras based toolset to speed up DL model creation and training
• 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 — Conduct parameter estimations for Dymola and FMU models
• 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
• 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
• Galaxy-ML — Galaxy Machine Learning Library
• gpforecaster — Hierarchical time series forecasting model using Gaussian Processes
• groupyr — groupyr: Sparse Groups Lasso in Python
• gt4sd — Generative Toolkit for Scientific Discovery (GT4SD).
• harlow — Adaptive surrogate modelling
• hexfarm — Rutgers HEX Computing Utility Library
• hyperparameter-hunter — Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
• 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
• 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.
• 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
• lookout-style — Machine learning-based assisted code review - code style analyzers.
• lp-Aicloud — this a aicloud
• luntaiDs — Make Data Scientist life Easier Tool
• madcat — # MadCat
• 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
• MoleculeACE — MoleculeACE
• Molml-tools — A collection of tools for molecular machine learning
• motrainer — Parallel Training Measurement Operators (MO) for Data Assimilation (DA) Applications
• mrmustard — Differentiable quantum Gaussian circuits
• MultiTrain — MultiTrain allows you to train multiple machine learning algorithms on a dataset all at once to determine the best for that particular use case
• neorl — NeuroEvolution Optimisation with Reinforcement Learning
• neptune-contrib — Neptune.ai contributions library
• nestedcvtraining — Perform Nested Cross Validation for model training
• nevergrad — A Python toolbox for performing gradient-free optimization
• nnlo — Distributed Machine Learning tool for High Performance Computing
• octis — OCTIS: a library for Optimizing and Comparing Topic Models.
• openbox — Efficient and generalized blackbox optimization (BBO) system
• opoca — Opoca library aims to drastically speed up producing proof of concepts (PoC) for machine learning projects.
• optuna-integration — Integration libraries of Optuna.
• orion.algo.skopt — Implement a wrapper for skopt optimizers.
• osml-imagery-toolkit — Toolkit to work with imagery collected by satellites and UAVs
• osml-model-runner — Application to run large scale imagery against AI/ML models
• paddlesci — A library for scientific machine learning
• photonai — PHOTONAI is a high level python API for designing and optimizing machine learning pipelines.
• pollychem — no summary
• pssr — Point-Scanning Super-Resolution
• punppci — Neural network for insurance claims modelling
• py-neuromodulation — Real-time analysis of intracranial neurophysiology recordings.
• py4DSTEM — An open source python package for processing and analysis of 4D STEM data.
• pyBIA — Convolutional Neural Network for Ly-alpha Blob Detection
• pybirds — Business Intelligence Risk Data Science
• pycaret — PyCaret - An open source, low-code machine learning library in Python.
• pycaret-nightly — Nightly version of PyCaret - An open source, low-code machine learning library in Python.