hyperopt / hyperoptLinks
Distributed Asynchronous Hyperparameter Optimization in Python
☆7,440Updated last month
Alternatives and similar repositories for hyperopt
Users that are interested in hyperopt are comparing it to the libraries listed below
Sorting:
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,009Updated 3 weeks ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,777Updated last year
- Automated Machine Learning with scikit-learn☆7,877Updated last week
- A Python implementation of global optimization with gaussian processes.☆8,300Updated this week
- Deep universal probabilistic programming with Python and PyTorch☆8,814Updated 2 months ago
- Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization☆2,177Updated 2 years ago
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,316Updated 7 months ago
- A Python toolbox for performing gradient-free optimization☆4,092Updated last month
- A scikit-learn compatible neural network library that wraps PyTorch☆6,070Updated last week
- Hyper-parameter optimization for sklearn☆1,635Updated 2 months ago
- An open source python library for automated feature engineering☆7,481Updated 3 weeks ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,934Updated this week
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,348Updated last month
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Updated 2 months ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,838Updated last year
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆17,353Updated last week
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,037Updated 2 weeks ago
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,519Updated last week
- A Hyperparameter Tuning Library for Keras☆2,892Updated 7 months ago
- AutoML library for deep learning☆9,244Updated 6 months ago
- Efficiently computes derivatives of NumPy code.☆7,300Updated last week
- Lime: Explaining the predictions of any machine learning classifier☆11,924Updated 11 months ago
- A hyperparameter optimization framework☆12,246Updated this week
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,354Updated 4 months ago
- Fast, flexible and easy to use probabilistic modelling in Python.☆3,460Updated 4 months ago
- Bayesian Modeling and Probabilistic Programming in Python☆9,100Updated this week
- TensorFlow's Visualization Toolkit☆6,915Updated 2 weeks ago
- Fit interpretable models. Explain blackbox machine learning.☆6,605Updated last week
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆27,063Updated this week
- NumPy & SciPy for GPU☆10,323Updated this week