Reverse Dependencies of ax-platform

The following projects have a declared dependency on ax-platform:

• aepsych — Adaptive experimetation for psychophysics
• axforchemistry — Bayesian optimization of formulations via Adaptive Experimentation (Ax) platform.
• bkregression — A package for Bayesian kernel regression
• boa-framework — Bayesian Optimization for Anything: A high-level Bayesian optimization framework and model wrapping tool. It provides an easy-to-use interface between models and the python libraries Ax and BoTorch.
• boar-pv — High throughput parameter extraction and experimental design with Bayesian optimization
• bocoel — Bayesian Optimization as a Coverage Tool for Evaluating Large Language Models
• boppf — Bayesian optimization of particle packing fractions.
• botorch — Bayesian Optimization in PyTorch
• CADET-Process — A Framework for Modelling and Optimizing Advanced Chromatographic Processes
• codeflare-torchx — TorchX SDK and Components
• drl-model — DRL logic
• foambo — Multi-objective Bayesian Optimization on OpenFOAM cases with Ax-platform
• hepynet — High energy physics, python based, neural network framework
• humpday — Taking the pain out of choosing a Python global optimizer
• hydra-ax-sweeper — Hydra Ax Sweeper plugin
• kats — kats: kit to analyze time series
• matsci-opt-benchmarks — A collection of benchmarking problems and datasets for testing the performance of advanced optimization algorithms in the field of materials science and chemistry.
• nevergrad — A Python toolbox for performing gradient-free optimization
• optimas — Optimization at scale, powered by libEnsemble
• powerful-benchmarker — A PyTorch library for benchmarking deep metric learning. It's powerful.
• sb-arch-opt — SBArchOpt: Surrogate-Based Architecture Optimization
• self-driving-lab-demo — Software and instructions for setting up and running an autonomous (self-driving) laboratory optics demo using dimmable RGB LEDs, a 10-channel spectrometer, a microcontroller, and an adaptive design algorithm.
• spock-config — Spock is a framework designed to help manage complex parameter configurations for Python applications
• synthesized — Synthesized SDK
• torchx — TorchX SDK and Components
• torchx-applovin — TorchX SDK and Components
• torchx-nightly — TorchX SDK and Components
• tuneup — Global optimizer comparison and combination