openml / openml-docker-devLinks
Docker compose for starting local OpenML instances
☆11Updated 3 years ago
Alternatives and similar repositories for openml-docker-dev
Users that are interested in openml-docker-dev are comparing it to the libraries listed below
Sorting:
- Evaluation Framework for Probabilistic Programming Languages☆104Updated 2 years ago
- Modular Probabilistic Programming on MXNet☆104Updated 2 years ago
- Distributed Bayesian Optimization☆23Updated 5 years ago
- Simple Python interface for the SigOpt API☆71Updated 3 months ago
- Topological Anomaly Detection (TAD) per Gartley and Basener 2009☆68Updated 5 years ago
- Composable kernels for scikit-learn implemented in JAX.☆47Updated 5 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 3 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Updated 4 years ago
- Better, faster hyper-parameter optimization☆113Updated 2 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")☆40Updated 6 years ago
- Fast Function Extraction☆86Updated 7 months ago
- Temporally-reweighted Chinese restaurant process mixture models for multivariate time series☆37Updated last year
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23Updated 7 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated 2 years ago
- ☆29Updated last year
- A collection of utilities for writing labeling functions, transformation functions, and slicing functions.☆22Updated 5 years ago
- ☆69Updated 5 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Interpretable ML package designed to explain any machine learning model.☆61Updated 7 years ago
- Pyro models and misc examples.☆19Updated 4 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆189Updated 7 years ago
- ☆70Updated 5 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 3 years ago
- active learning + reusable workflows + likelihood free inference☆61Updated 8 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆183Updated 7 years ago
- A collection of resources for quantitative economics in Python☆13Updated 9 years ago
- ☆99Updated 7 years ago
- Custom JupyterLab container for local-workstations and in-cluster Kubernetes Data Science, Machine Learning and IoT.☆12Updated 6 years ago