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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 51–75 of 10033 papers

TitleStatusHype
Implementation of an Automated Learning System for Non-expertsCode2
Making Classical Machine Learning Pipelines Differentiable: A Neural Translation ApproachCode2
Geomstats: A Python Package for Riemannian Geometry in Machine LearningCode2
Graph Data Augmentation for Graph Machine Learning: A SurveyCode2
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast GradientsCode2
Foolbox: A Python toolbox to benchmark the robustness of machine learning modelsCode2
PennyLane: Automatic differentiation of hybrid quantum-classical computationsCode2
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical propertiesCode2
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding TasksCode2
Fast inference of deep neural networks in FPGAs for particle physicsCode2
FedML: A Research Library and Benchmark for Federated Machine LearningCode2
Satellite Image Time Series Analysis for Big Earth Observation DataCode2
geomstats: a Python Package for Riemannian Geometry in Machine LearningCode2
EC-KitY: Evolutionary Computation Tool Kit in Python with Seamless Machine Learning IntegrationCode2
ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specificationCode2
Designing Inherently Interpretable Machine Learning ModelsCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
Explaining Machine Learning Classifiers through Diverse Counterfactual ExplanationsCode2
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
CrypTen: Secure Multi-Party Computation Meets Machine LearningCode2
Deep Reinforcement Learning for Multi-Agent InteractionCode2
Advances and Open Problems in Federated LearningCode2
A Tensor Compiler for Unified Machine Learning Prediction ServingCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified