Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
☆40Nov 26, 2021Updated 4 years ago
Alternatives and similar repositories for pmf-automl
Users that are interested in pmf-automl are comparing it to the libraries listed below
Sorting:
- Probabilistic Matrix Factorization with Social Trust for Recommendation (Ma et al. SIGIR 2009)☆19Nov 14, 2016Updated 9 years ago
- Implementation of GP-BART algorithm.☆17Dec 28, 2023Updated 2 years ago
- R package cfcausal☆33Dec 6, 2022Updated 3 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Oct 23, 2021Updated 4 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆22Feb 26, 2025Updated last year
- Heterogeneous effects analysis of conjoint experiments using BART☆10Sep 6, 2023Updated 2 years ago
- MRP - Multilevel + BART = BARP☆10Jan 1, 2023Updated 3 years ago
- Exploratory Principal Component Analysis☆11May 6, 2024Updated last year
- [KDD 2023] Deep Pipeline Embeddings for AutoML☆17Jul 1, 2025Updated 8 months ago
- Implements the algorithm form "Sparse logistic principal components analysis for binary data"☆14Dec 11, 2013Updated 12 years ago
- Advanced GBM Workshop - Budapest, Nov 2019☆13Nov 18, 2019Updated 6 years ago
- Simulation code and results for https://arxiv.org/abs/1705.08527☆12Apr 12, 2022Updated 3 years ago
- Instant Access to your Favorite Emoji☆16Jul 11, 2023Updated 2 years ago
- SmartML: Supervised Machine Learning Automation in R☆26Nov 19, 2020Updated 5 years ago
- Tidy methods for Bayesian treatment effect models☆18Dec 8, 2025Updated 3 months ago
- Tools for Working with Multidimensional Data in R and C++☆19Nov 17, 2022Updated 3 years ago
- [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization☆15Mar 26, 2024Updated last year
- [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benc…☆16Nov 12, 2023Updated 2 years ago
- causaleffect: R package for identifying causal effects.☆37Sep 19, 2025Updated 5 months ago
- A C++ port of the IRLBA algorithm, based on the C code in the R package.☆17Feb 27, 2026Updated last week
- Tutorial on Bayesian optimization in R☆15Apr 28, 2022Updated 3 years ago
- A friendly pandas wrapper with a more composable grammar support.☆14Mar 7, 2017Updated 9 years ago
- A benchmark to evaluate popular CASH and AutoML frameworks☆16Mar 25, 2024Updated last year
- R data package containing data sets on UCI's ML repo☆14Jul 28, 2024Updated last year
- A framework for QuickTune☆16Jan 9, 2025Updated last year
- R package with tools for distance metrics☆18Nov 24, 2025Updated 3 months ago
- Helper functions for orthogonal polynomials in R☆19Oct 20, 2022Updated 3 years ago
- [PROTOTYPE] R package: marshal - Framework to Marshal Objects to be Used in Another R Processes☆15Apr 19, 2025Updated 10 months ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆81Jan 20, 2026Updated last month
- Projection Pursuit Forest Algorithm for Supervised Classification☆18Sep 4, 2025Updated 6 months ago
- Statistical Inference for Random Forests☆19Mar 11, 2019Updated 6 years ago
- HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models☆22Dec 6, 2024Updated last year
- ☆20Oct 2, 2018Updated 7 years ago
- A list of resources for current and aspiring data science managers☆16Dec 14, 2020Updated 5 years ago
- ☆48Jan 20, 2023Updated 3 years ago
- Compute Convex (Bi)Clustering Solutions via Algorithmic Regularization☆20Oct 8, 2020Updated 5 years ago
- Causal Inference using Bayesian Additive Regression Trees☆87Jul 30, 2025Updated 7 months ago
- Tools for Analyzing Finite Mixture Models☆25Jun 17, 2024Updated last year
- Stochastic AUC Maximization with Deep Neural Networks☆17Apr 1, 2021Updated 4 years ago