| TensorIR: An Abstraction for Automatic Tensorized Program Optimization | Jul 9, 2022 | BIG-bench Machine LearningDeep Learning | CodeCode Available | 6 | 5 |
| Synthetic Dataset Generation for Adversarial Machine Learning Research | Jul 21, 2022 | BIG-bench Machine LearningDataset Generation | CodeCode Available | 6 | 5 |
| Flashlight: Enabling Innovation in Tools for Machine Learning | Jan 29, 2022 | BIG-bench Machine Learning | CodeCode Available | 5 | 5 |
| Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values | Jun 30, 2022 | Additive modelsBIG-bench Machine Learning | CodeCode Available | 5 | 5 |
| Deepchecks: A Library for Testing and Validating Machine Learning Models and Data | Mar 16, 2022 | BIG-bench Machine Learning | CodeCode Available | 4 | 5 |
| Pen and Paper Exercises in Machine Learning | Jun 27, 2022 | BIG-bench Machine Learning | CodeCode Available | 4 | 5 |
| GPUTreeShap: Massively Parallel Exact Calculation of SHAP Scores for Tree Ensembles | Oct 27, 2020 | BIG-bench Machine LearningCPU | CodeCode Available | 4 | 5 |
| XGBoost: A Scalable Tree Boosting System | Mar 9, 2016 | BIG-bench Machine LearningClustering | CodeCode Available | 4 | 5 |
| InterpretML: A Unified Framework for Machine Learning Interpretability | Sep 19, 2019 | Additive modelsBIG-bench Machine Learning | CodeCode Available | 3 | 5 |
| Feature Selection Methods for Uplift Modeling and Heterogeneous Treatment Effect | May 5, 2020 | BIG-bench Machine Learningfeature selection | CodeCode Available | 3 | 5 |
| Designing and building the mlpack open-source machine learning library | Aug 17, 2017 | BIG-bench Machine Learning | CodeCode Available | 3 | 5 |
| Sintel: A Machine Learning Framework to Extract Insights from Signals | Apr 19, 2022 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 3 | 5 |
| Benchmarking Automatic Machine Learning Frameworks | Aug 17, 2018 | Automated Feature EngineeringAutoML | CodeCode Available | 3 | 5 |
| Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning | Jul 8, 2020 | AutoMLBIG-bench Machine Learning | CodeCode Available | 3 | 5 |
| YOLOv4: Optimal Speed and Accuracy of Object Detection | Apr 23, 2020 | BIG-bench Machine LearningData Augmentation | CodeCode Available | 3 | 5 |
| Declarative Machine Learning Systems | Jul 16, 2021 | BIG-bench Machine Learning | CodeCode Available | 3 | 5 |
| Efficient and Robust Automated Machine Learning | Dec 1, 2015 | AutoMLBayesian Optimization | CodeCode Available | 3 | 5 |
| Supplementary Material for Efficient and Robust Automated Machine Learning | Jan 1, 2015 | BIG-bench Machine LearningHyperparameter Optimization | CodeCode Available | 3 | 5 |
| DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning | Jun 7, 2022 | AutoMLBIG-bench Machine Learning | CodeCode Available | 3 | 5 |
| TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery | Feb 16, 2022 | BIG-bench Machine LearningDrug Discovery | CodeCode Available | 3 | 5 |
| Adversarial Robustness Toolbox v1.0.0 | Jul 3, 2018 | Adversarial RobustnessBIG-bench Machine Learning | CodeCode Available | 3 | 5 |
| CausalML: Python Package for Causal Machine Learning | Feb 25, 2020 | BIG-bench Machine LearningCausal Inference | CodeCode Available | 3 | 5 |
| River: machine learning for streaming data in Python | Dec 8, 2020 | BIG-bench Machine LearningContinual Learning | CodeCode Available | 3 | 5 |
| 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 | 5 |
| mlpack 3: a fast, flexible machine learning library | Jun 18, 2018 | BenchmarkingBIG-bench Machine Learning | CodeCode Available | 3 | 5 |
| SQLFlow: A Bridge between SQL and Machine Learning | Jan 19, 2020 | BIG-bench Machine Learning | CodeCode Available | 3 | 5 |
| Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence | Feb 12, 2020 | BIG-bench Machine LearningGPU | CodeCode Available | 3 | 5 |
| MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales | Oct 20, 2018 | BIG-bench Machine LearningDistributed Computing | CodeCode Available | 3 | 5 |
| pyannote.audio: neural building blocks for speaker diarization | Nov 4, 2019 | Action DetectionActivity Detection | CodeCode Available | 3 | 5 |
| Layered TPOT: Speeding up Tree-based Pipeline Optimization | Jan 18, 2018 | Automated Feature EngineeringAutoML | CodeCode Available | 3 | 5 |
| ktrain: A Low-Code Library for Augmented Machine Learning | Apr 19, 2020 | BIG-bench Machine LearningClassification | CodeCode Available | 2 | 5 |
| Learning to correct spectral methods for simulating turbulent flows | Jul 1, 2022 | BIG-bench Machine Learning | CodeCode Available | 2 | 5 |
| Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients | Oct 4, 2020 | BIG-bench Machine Learning | CodeCode Available | 2 | 5 |
| MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation | May 31, 2022 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 2 | 5 |
| HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python | Jul 7, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 2 | 5 |
| Graph Data Augmentation for Graph Machine Learning: A Survey | Feb 17, 2022 | BIG-bench Machine LearningData Augmentation | CodeCode Available | 2 | 5 |
| hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices | Mar 9, 2021 | BIG-bench Machine LearningDiagnostic | CodeCode Available | 2 | 5 |
| Geomstats: A Python Package for Riemannian Geometry in Machine Learning | Apr 7, 2020 | BIG-bench Machine LearningClustering | CodeCode Available | 2 | 5 |
| Foolbox: A Python toolbox to benchmark the robustness of machine learning models | Jul 13, 2017 | Adversarial AttackBIG-bench Machine Learning | CodeCode Available | 2 | 5 |
| Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties | Nov 7, 2018 | BIG-bench Machine Learning | CodeCode Available | 2 | 5 |
| Implementation of an Automated Learning System for Non-experts | Mar 26, 2022 | BIG-bench Machine LearningManagement | CodeCode Available | 2 | 5 |
| Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies | Feb 10, 2020 | Algorithmic TradingAsset Management | CodeCode Available | 2 | 5 |
| Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations | May 19, 2019 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 2 | 5 |
| 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 | 5 |
| Towards Backdoor Attacks and Defense in Robust Machine Learning Models | Feb 25, 2020 | BIG-bench Machine LearningClustering | CodeCode Available | 2 | 5 |
| EC-KitY: Evolutionary Computation Tool Kit in Python with Seamless Machine Learning Integration | Jul 21, 2022 | BIG-bench Machine Learning | CodeCode Available | 2 | 5 |
| Fast inference of deep neural networks in FPGAs for particle physics | Apr 16, 2018 | BIG-bench Machine LearningHigh-Level Synthesis | CodeCode Available | 2 | 5 |
| Deep Reinforcement Learning for Multi-Agent Interaction | Aug 2, 2022 | BIG-bench Machine LearningCausal Inference | CodeCode Available | 2 | 5 |
| geomstats: a Python Package for Riemannian Geometry in Machine Learning | May 21, 2018 | BIG-bench Machine LearningGPU | CodeCode Available | 2 | 5 |
| Designing Inherently Interpretable Machine Learning Models | Nov 2, 2021 | BIG-bench Machine LearningInterpretable Machine Learning | CodeCode Available | 2 | 5 |
