sherpa-ai / sherpaView external linksLinks
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
☆344Oct 18, 2020Updated 5 years ago
Alternatives and similar repositories for sherpa
Users that are interested in sherpa are comparing it to the libraries listed below
Sorting:
- A fully decentralized hyperparameter optimization framework☆124Jul 18, 2024Updated last year
- a distributed Hyperband implementation on Steroids☆627Oct 16, 2022Updated 3 years ago
- Tuning hyperparams fast with Hyperband☆597Aug 15, 2018Updated 7 years ago
- AutoML framework balancing performance and complexity☆15May 9, 2021Updated 4 years ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,619Feb 8, 2026Updated last week
- A hyperparameter optimization framework☆13,515Updated this week
- Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer☆34Feb 5, 2019Updated 7 years ago
- Pythie is a Python package to postprocess weather forecasts. Presently, it contains the modules: MBM: a module to make member-by-member e…☆11Oct 21, 2022Updated 3 years ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Dec 2, 2021Updated 4 years ago
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,214Feb 10, 2026Updated last week
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆20Dec 28, 2021Updated 4 years ago
- A simple, extensible library for developing AutoML systems☆175Jul 28, 2023Updated 2 years ago
- Bayesian optimization in PyTorch☆3,458Updated this week
- Gaussian Process Optimization using GPy☆948Jan 17, 2023Updated 3 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,812Feb 23, 2024Updated last year
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Jun 17, 2020Updated 5 years ago
- Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.☆218Jan 5, 2026Updated last month
- Style-based GAN for geophysical fields☆13May 7, 2020Updated 5 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,162Mar 22, 2024Updated last year
- Adaptive Experimentation Platform☆2,704Updated this week
- Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization☆2,178Jan 5, 2023Updated 3 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆708Jan 20, 2021Updated 5 years ago
- Hyperparameter Experiments with TensorFlow and Keras