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| Performance Analysis of Open Source Machine Learning Frameworks for Various Parameters in Single-Threaded and Multi-Threaded Modes | Aug 29, 2017 | BIG-bench Machine LearningCPU | CodeCode Available | 3 |
| Designing and building the mlpack open-source machine learning library | Aug 17, 2017 | BIG-bench Machine Learning | CodeCode Available | 3 |
| Efficient and Robust Automated Machine Learning | Dec 1, 2015 | AutoMLBayesian Optimization | CodeCode Available | 3 |
| Supplementary Material for Efficient and Robust Automated Machine Learning | Jan 1, 2015 | BIG-bench Machine LearningHyperparameter Optimization | CodeCode Available | 3 |
| Deep Reinforcement Learning for Multi-Agent Interaction | Aug 2, 2022 | BIG-bench Machine LearningCausal Inference | CodeCode Available | 2 |
| EC-KitY: Evolutionary Computation Tool Kit in Python with Seamless Machine Learning Integration | Jul 21, 2022 | BIG-bench Machine Learning | CodeCode Available | 2 |
| HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python | Jul 7, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 2 |
| Learning to correct spectral methods for simulating turbulent flows | Jul 1, 2022 | BIG-bench Machine Learning | CodeCode Available | 2 |
| Torsional Diffusion for Molecular Conformer Generation | Jun 1, 2022 | BIG-bench Machine LearningComputational chemistry | CodeCode Available | 2 |
| MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation | May 31, 2022 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 2 |
| Satellite Image Time Series Analysis for Big Earth Observation Data | Apr 24, 2022 | BIG-bench Machine LearningCloud Computing | CodeCode Available | 2 |
| auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data | Apr 15, 2022 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 2 |
| Implementation of an Automated Learning System for Non-experts | Mar 26, 2022 | BIG-bench Machine LearningManagement | CodeCode Available | 2 |
| Graph Data Augmentation for Graph Machine Learning: A Survey | Feb 17, 2022 | BIG-bench Machine LearningData Augmentation | CodeCode Available | 2 |
| An Introduction to Neural Data Compression | Feb 14, 2022 | BIG-bench Machine LearningData Compression | CodeCode Available | 2 |
| OMLT: Optimization & Machine Learning Toolkit | Feb 4, 2022 | Bayesian OptimisationBIG-bench Machine Learning | CodeCode Available | 2 |
| ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specification | Jan 21, 2022 | BIG-bench Machine Learningimage-classification | CodeCode Available | 2 |
| Uncertainty Quantification in Scientific Machine Learning: Methods, Metrics, and Comparisons | Jan 19, 2022 | BIG-bench Machine LearningUncertainty Quantification | CodeCode Available | 2 |
| Scaling Language Models: Methods, Analysis & Insights from Training Gopher | Dec 8, 2021 | Abstract AlgebraAnachronisms | CodeCode Available | 2 |
| Designing Inherently Interpretable Machine Learning Models | Nov 2, 2021 | BIG-bench Machine LearningInterpretable Machine Learning | CodeCode Available | 2 |
| TorchAudio: Building Blocks for Audio and Speech Processing | Oct 28, 2021 | BIG-bench Machine LearningGPU | CodeCode Available | 2 |
| Tribuo: Machine Learning with Provenance in Java | Oct 6, 2021 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 2 |
| Scale-invariant Learning by Physics Inversion | Sep 30, 2021 | BIG-bench Machine Learningparameter estimation | CodeCode Available | 2 |
| Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification | Sep 21, 2021 | BIG-bench Machine LearningUncertainty Quantification | CodeCode Available | 2 |