onelearn / onelearnLinks
Online machine learning methods
☆21Updated 3 years ago
Alternatives and similar repositories for onelearn
Users that are interested in onelearn are comparing it to the libraries listed below
Sorting:
- Gradient boosting on steroids☆28Updated 11 months ago
- Advanced random forest methods in Python☆57Updated last year
- A practical Active Learning python package with a strong focus on experiments.☆51Updated 2 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆77Updated last year
- An automated machine learning tool aimed to facilitate AutoML research.☆99Updated 9 months ago
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆174Updated 2 years ago
- Bayesian Bandits☆68Updated last year
- Probabilistic Gradient Boosting Machines☆154Updated last year
- WIP☆34Updated 10 months ago
- Gaussian Process Model Building Interface☆50Updated 2 months ago
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- ☆98Updated last month
- Fast implementation of Venn-ABERS probabilistic predictors☆74Updated last year
- A toolbox for fair and explainable machine learning☆55Updated 11 months ago
- Fast Bayesian A/B and Multivariate testing.☆36Updated 2 years ago
- Autoregressive Bayesian linear model☆21Updated 4 years ago
- A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.☆94Updated 2 weeks ago
- Generative Forests in Python☆35Updated last year
- Feature selection package based on SHAP and target permutation, for pandas and Spark☆30Updated 3 years ago
- Distributional Gradient Boosting Machines☆27Updated 2 years ago
- The simplest way to deploy a machine learning model☆23Updated 2 years ago
- Extends scikit-learn with new models, transformers, metrics, plotting.☆73Updated 2 months ago
- Fast and modular sklearn replacement for generalized linear models☆173Updated last week
- Python Meta-Feature Extractor package.☆133Updated 11 months ago
- Tools for diagnostics and assessment of (machine learning) models☆35Updated 3 months ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Competing Risks and Survival Analysis☆102Updated 2 weeks ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago