100 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Bayesian optimization in PyTorch | 774K | |
| Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah'... | 61K | |
| The net:cal calibration framework is a Python 3 library for measuring and mitiga... | 41K | |
| Bayesian Optimization and Design of Experiments | 8K | |
| The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimiz... | 7K | |
| A research platform to develop automated security policies using quantitative me... | 7K | |
| A research platform to develop automated security policies using quantitative me... | 6K | |
| Spectral cortical and subcortical analysis with statistical testing (RSA, CCA, P... | 3K | |
| Python package for soft sensing applications | 3K | |
| Deep and Machine Learning for Microscopy | 2K | |
| WAsserstein Global Gradient-free OptimisatioN (WAGGON) methods library. | 2K | |
| A python package designed to communicate among various chemical and materials ca... | 2K | |
| Scalable and simulation-free training of latent SDEs via score matching (Bartosh... | 1K | |
| A package for dipper detection in lightcurves | 1K | |
| Machine-learn the threshold displacement energy surface of a material with Gauss... | 1K | |
| Neural Pipeline Search (NePS): Helps deep learning experts find the best neural ... | 1K | |
| Python Glacier Evolution Model (PyGEM) | 1K | |
| factor models for omics data | 927 | |
| 891 | ||
| Emulate simulations easily | 878 | |
| Software and instructions for setting up and running a self-driving lab (autonom... | 838 | |
| Automated privacy mechanism selection and optimization for differential privacy | 811 | |
| Bluesky optimization package | 794 | |
| Bayesian Optimisation for the Versatile Ocean Simulator (VEROS) | 751 | |
| DeepPipe efficiently optimizes Machine Learning Pipelines using meta-learning. | 692 | |
| Estimate discontinuous timeseries from continuous covariates. | 684 | |
| Catasta is a Python library designed to simplify the process of Machine Learning... | 629 | |
| PyTorch-based regressors with uncertainty quantification and scikit-learn interf... | 617 | |
| A Python package to apply probabilistic logic programming to navigation tasks. | 590 | |
| Multi-objective optimization of chemical processes with automated machine learni... | 522 | |
| Transformation-invariant kernels in GPyTorch | 499 | |
| Bluesky optimization package | 498 | |
| Spatiotemporal modeling of spatial transcriptomics | 488 | |
| Active Learning Molecular Selection | 458 | |
| A pytorch integrated Machine Learning / Deep learning utilities library | 453 | |
| Easy-to-use library for Bayesian optimization, with support for neural network s... | 441 | |
| PyMBO: A Python package for accelerating materials discovery and process optimiz... | 438 | |
| Python gaussian processes for inference on multi-wavelength light curves | 437 | |
| Bayesian Optimization as a Coverage Tool for Evaluating Large Language Models | 436 | |
| Active learning and optimization toolkit for chemical and materials research | 422 | |
| Biological prediction models made simple. | 401 | |
| Pytorch+GPytorch implementation of GDRFs from San Soucie et al. 2020 | 389 | |
| OneScience是基于先进的深度学习框架打造的科学计算工具包，旨在通过一系列高度集成的组件加速科学研究和技术开发进程。 | 388 | |
| Batch Pareto optimal Thompson sampling | 383 | |
| Multi-fidelity modeling using Gaussian process regression | 369 | |
| Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion | 365 | |
| Heron is a surrogate modelling toolkit for python, using Gaussian process regres... | 353 | |
| Data-Driven Multitask Optimization Laboratory | 347 | |
| Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning" (Hel... | 319 | |
| A package which extends GPyTorch with correlated multi-output GPs | 303 |
