BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–50 of 10033 papers

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

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Fb232	account and password	100	—	Unverified