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BIG-bench Machine Learning

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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/nine09/NLP-

An Introduction to Deep Reinforcement Learning

https://github.com/nine09/NLP-Syllabus

An Introduction to Deep Reinforcement Learning

https://github.com/ninn55/TFLM

TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems

https://github.com/nkmjm/qiML

A quantum-inspired classical algorithm for recommendation systems

https://github.com/nmcasasr/darknet2

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/nmcasasr/darknet_oldVersion

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/nokpil/ConservNet

Discovering conservation laws from trajectories via machine learning

https://github.com/nseyedtalebi/tff_bench

Advances and Open Problems in Federated Learning

https://github.com/nsubbaian/FrequentistML

XGBoost: A Scalable Tree Boosting System

https://github.com/nu-cucis/sinet

Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening

https://github.com/nuaaceieyty/Paddle-YOLOv4

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/nurulxakmar/darknet

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/nyu-mll/multiNLI

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

https://github.com/o-waring/subseasonal_forecasting

Improving Subseasonal Forecasting in the Western U.S. with Machine Learning

https://github.com/oaqoe-DWQ/Yolov5_DeepSort_Pytorch

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/oellop/facial_expression

Challenges in Representation Learning: A report on three machine learning contests

https://github.com/okboseong/darknet

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/oleg-kufirin/recognizing-handwritten-hiragana-symbols

Deep Learning for Classical Japanese Literature

https://github.com/olivesgatech/image-2022-volumetric-contrastive

A Machine Learning Benchmark for Facies Classification

https://github.com/olivesgatech/man-recon

A Machine Learning Benchmark for Facies Classification

https://github.com/omerjerk/cuSABNAtk

Fast Counting in Machine Learning Applications

https://github.com/omglu93/energy_consumption_eda_prediction

XGBoost: A Scalable Tree Boosting System

https://github.com/omic-ai/sensical

Machine Learning the Phenomenology of COVID-19 From Early Infection Dynamics

https://github.com/omrijsharon/NetworkModule

Self-Normalizing Neural Networks

https://github.com/openai/cleverhans

Practical Black-Box Attacks against Machine Learning

https://github.com/openmined/kotlinsyft

Towards Federated Learning at Scale: System Design

https://github.com/openmined/swiftsyft

Towards Federated Learning at Scale: System Design

https://github.com/openml-labs/gama

GAMA: a General Automated Machine learning Assistant

https://github.com/openml/openml-aslib

OpenML Benchmarking Suites

https://github.com/optuna/kurobako

A System for Massively Parallel Hyperparameter Tuning

https://github.com/oregonpillow/ctgan-server-cli

Generative Synthesis of Insurance Datasets

https://github.com/orienfish/fedml

Advances and Open Problems in Federated Learning

https://github.com/osilab-kaist/komet-benchmark-dataset

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

https://github.com/osman-haider/stock-market-prices-prediction-using-RF

Predicting the direction of stock market prices using random forest

https://github.com/osofr/xgboost

XGBoost: A Scalable Tree Boosting System

https://github.com/osu-srml/strategicwelfare

Retiring Adult: New Datasets for Fair Machine Learning

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