Reverse Dependencies of ConfigSpace

The following projects have a declared dependency on ConfigSpace:

• alphad3m — AlphaD3M: NYU's AutoML System
• autonml — AutonML : CMU's AutoML System
• autoPyTorch — Auto-PyTorch searches neural architectures using smac
• autotorch — AutoTorch Package
• bigdl-chronos — Scalable time series analysis using AutoML
• bigdl-chronos-spark2 — Scalable time series analysis using AutoML
• bigdl-chronos-spark3 — Scalable time series analysis using AutoML
• bore — Bayesian Optimization by Density-Ratio Estimation
• carl-bench — CARL- Contextually Adaptive Reinforcement Learning
• cinet — Scikit-Learn interface for CINET PyTorch siamese neural network
• CurriculumAgent — CurriculumAgent is a cleanup and improved version of the NeurIPS 2020 Competition Agent by Binbinchen.The agent is build to extract action sets of the Grid2Op Environment and then use rule-based agent to train a Reinforcement Learning agent.
• deephyper — Scalable asynchronous neural architecture and hyperparameter search for deep neural networks.
• dehb — Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimization
• diego — Diego: Data IntElliGence Out.
• Djaizz — Artificial Intelligence (AI) in Django Applications
• dswizard — DataScience Wizard for automatic assembly of machine learning pipelines
• dswizard-components — Contains all base algorithms used by dswizard
• fluidexec — Resource-aware hyperparameter tuning execution engine
• hpbandster-sklearn — A scikit-learn wrapper for HpBandSter hyper parameter search
• hpo-task-similarity — no summary
• hpo4dl — Hyper parameter optimization for deep learning
• HyperSweeper — Hydra sweeper integration of our favorite optimization packages, utilizing ask-and-tell interfaces.
• iohxplainer — eXplainable Benchmarking for Iterative Optimization Heuristics
• ismlldataset — A Repository for Handling (Meta) Datasets
• itabpfn — Interface for using interfeature TabPFN and library to train TabPFN'
• itabpfn-l1 — Interface for using interfeature TabPFN and library to train TabPFN'
• itabpfn2 — Interface for using interfeature TabPFN and library to train TabPFN'
• jahs-bench — The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.
• jahs-bench-201 — The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.
• learna-tools — RNA Design with automated reinforcement learning.
• lite-bo — Efficient and generalized blackbox optimization (BBO) system
• mdp-playground — A python package to design and debug RL agents
• mfhpo-benchmark-api — no summary
• mindware — MindWare: Towards Efficient AutoML System.
• mlos-core — MLOS Core Python interface for parameter optimization.
• naszilla — python framework for NAS algorithms on benchmark search spaces
• neural-pipeline-search — Neural Pipeline Search helps deep learning experts find the best neural pipeline.
• openbox — Efficient and generalized blackbox optimization (BBO) system
• paddlets — PaddleTS (Paddle Time Series Tool), PaddlePaddle-based Time Series Modeling in Python
• parzen-estimator — no summary
• pfns — PFNs made ready for BO
• pfns4bo — PFNs made ready for BO
• prompt-hyperopt — Reliable language-model prompts through templates, calibration, and hyperparameter optimization
• pyPDPPartitioner — A python implementation of 'Explaining Hyperparameter Optimization via Partial Dependence Plots' by Moosbauer et al.
• QuickTune — Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
• repo-template — no summary
• reprobench — Reproducible Benchmark for Everyone
• sam-ml-py — a library for ML programing created by Samuel Brinkmann
• sb-arch-opt — SBArchOpt: Surrogate-Based Architecture Optimization
• siatune — no summary
• sksearchspace — Defines search spaces for scikit-lean estimators
• slideflow — Deep learning tools for digital histology
• smac — SMAC3, a Python implementation of 'Sequential Model-based Algorithm Configuration'.
• smt — The Surrogate Modeling Toolbox (SMT)
• sspace — Sample Space Builder
• syne-tune — Distributed Hyperparameter Optimization on SageMaker
• tabpfn — Interface for using TabPFN and library to train TabPFN'
• TabPFNbaseline — Interface for using interfeature TabPFN and library to train TabPFN'
• tpe — no summary
• twinbooster — Python package for TwinBooster: Synergising Chemical Structures and Bioassay Descriptions for Enhanced Molecular Property Prediction in Drug Discovery
• unified-planning — Unified Planning Framework
• up-pyperplan — up_pyperplan
• up-tamer — up_tamer
• vdrnn — implementation of variational recurrent neural networks for learning curve prediction
• XBBO — A Python toolbox for performing Black-Box Optimization.
• yahpo-gym — Inference module for the yahpo gym