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BIG-bench Machine Learning

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하위 태스크: 0
평가표: 2
보존된 평가 기록: 2

This branch include most common machine learning fundamental algorithms.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/kahst/BirdCLEF-Baseline

공식 코드

Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System

https://github.com/kakaobrain/autoclint

공식 코드

AutoCLINT: The Winning Method in AutoCV Challenge 2019

https://github.com/kanuarj/sparseMatrixRepEffects

공식 코드

Effects of Parametric and Non-Parametric Methods on High Dimensional Sparse Matrix Representations

https://github.com/karkirowle/oral_cancer_analysis

공식 코드

Detecting and analysing spontaneous oral cancer speech in the wild

https://github.com/kasaai/ctgan

공식 코드

Generative Synthesis of Insurance Datasets

https://github.com/kasaai/explain-ml-pricing

공식 코드

Towards Explainability of Machine Learning Models in Insurance Pricing

https://github.com/kasaai/gen-syn

공식 코드

Generative Synthesis of Insurance Datasets

https://github.com/katejarne/3-bit-FF-tutorial

공식 코드

Exploring Flip Flop memories and beyond: training recurrent neural networks with key insights

https://github.com/kclip/meta-autoencoder

공식 코드

From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems

https://github.com/kentaroy47/vision-transformers-cifar10

공식 코드

Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization

https://github.com/keshavganapathy/An-Open-Review-of-OpenReview

공식 코드

An Open Review of OpenReview: A Critical Analysis of the Machine Learning Conference Review Process

https://github.com/kevinhsieh/non_iid_dml

공식 코드

The Non-IID Data Quagmire of Decentralized Machine Learning

https://github.com/kevinmaiden7/spanish_fakenewsdetection

공식 코드

Fake News Detection in Spanish Using Deep Learning Techniques

https://github.com/keyu07/DADG

공식 코드

Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation

https://github.com/kfgao2021/antoencoder-v01

공식 코드

Proteome-informed machine learning studies of cocaine addiction

https://github.com/khtae8250/SliceTuner

공식 코드

Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models

https://github.com/kikohs/freak

공식 코드

From handcrafted to deep local features

https://github.com/kimmo1019/Roundtrip

공식 코드

Roundtrip: A Deep Generative Neural Density Estimator

https://github.com/kirthevasank/if-estimators

공식 코드

Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations

https://github.com/kirthevasank/nasbot

공식 코드

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

https://github.com/kk7nc/RMDL

공식 코드

An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL)

https://github.com/kk7nc/Text_Classification

공식 코드

Text Classification Algorithms: A Survey

https://github.com/klean2050/papilledema

공식 코드

Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning

https://github.com/klemenjak/nilm-transferability-metrics

공식 코드

On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring

https://github.com/kmi-robots/object_reasoner

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Fit to Measure: Reasoning about Sizes for Robust Object Recognition

https://github.com/kmihic/RACQP

공식 코드

On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems

https://github.com/knodle/knodle

공식 코드

Knodle: Modular Weakly Supervised Learning with PyTorch

https://github.com/koen-git/colorsymdetect

공식 코드

Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images

https://github.com/kondratevakate/fmri-fader-net

공식 코드

Domain Shift in Computer Vision models for MRI data analysis: An Overview

https://github.com/kong996/ml_cbp_hz

공식 코드

Analyzing the Habitable Zones of Circumbinary Planets Using Machine Learning

https://github.com/konstantg/dem-fill

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Void Filling of Digital Elevation Models with Deep Generative Models

https://github.com/konstantinklemmer/sxl

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Auxiliary-task learning for geographic data with autoregressive embeddings

https://github.com/kratzert/ealstm_regional_modeling

공식 코드

Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets

https://github.com/kregg34/emailheaderanomalydetection

공식 코드

Anomaly Detection in Emails using Machine Learning and Header Information

https://github.com/krisrs1128/glacier_mapping

공식 코드

Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya

https://github.com/ksenia-konyushkova/LAL-RL

공식 코드

Discovering General-Purpose Active Learning Strategies

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