chrisstroemel / SimpleLinks
Experimental Global Optimization Algorithm
☆483Updated 8 years ago
Alternatives and similar repositories for Simple
Users that are interested in Simple are comparing it to the libraries listed below
Sorting:
- Bayesian optimization for Python☆246Updated 3 years ago
- optimization routines for hyperparameter tuning☆425Updated 2 years ago
- RoBO: a Robust Bayesian Optimization framework☆489Updated 6 years ago
- Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machi…☆239Updated last year
- Bayesian Optimization using GPflow☆274Updated 5 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆183Updated 7 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 4 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆522Updated 4 years ago
- A fully decentralized hyperparameter optimization framework☆124Updated last year
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Updated last year
- Tuning hyperparams fast with Hyperband☆597Updated 7 years ago
- A garden for scikit-learn compatible trees☆288Updated last year
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆273Updated 5 years ago
- Python code for bayesian optimization using Gaussian processes☆314Updated 9 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 8 years ago
- Python package for modular Bayesian optimization☆136Updated 5 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆84Updated last year
- ☆69Updated 5 years ago
- Kernel structure discovery research code - likely to be unstable☆195Updated 10 years ago
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆469Updated 2 years ago
- 🎯 A comprehensive gradient-free optimization framework written in Python☆580Updated 6 years ago
- High performance implementation of Extreme Learning Machines (fast randomized neural networks).☆203Updated 11 months ago
- Lattice methods in TensorFlow☆520Updated last year
- A Neural Networking library based on NumPy only☆113Updated 2 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆217Updated 6 years ago
- A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.☆164Updated 3 years ago
- Optimizers for machine learning☆183Updated 2 weeks ago
- An intelligent block matrix library for numpy, PyTorch, and beyond.☆310Updated last year
- Better, faster hyper-parameter optimization☆113Updated 2 years ago
- A user-centered Python package for differentiable probabilistic inference☆203Updated 5 years ago