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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 81–90 of 10033 papers

TitleStatusHype
HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in PythonCode2
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning DevicesCode2
Connections between Relational Event Model and Inverse Reinforcement Learning for Characterizing Group Interaction SequencesCode2
Frugal Optimization for Cost-related HyperparametersCode2
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020Code2
Learning to correct spectral methods for simulating turbulent flowsCode2
Attacking and Defending Machine Learning Applications of Public CloudCode2
A Tensor Compiler for Unified Machine Learning Prediction ServingCode2
Measuring Coding Challenge Competence With APPSCode2
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event DataCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified