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集合主题趋势排行榜
#

model-selection

Website
Wikipedia
https://static.github-zh.com/github_avatars/EpistasisLab?size=40
EpistasisLab / tpot

#计算机科学#A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

机器学习Python数据科学automl自动化scikit-learnhyperparameter-optimizationmodel-selectionparameter-tuningautomated-machine-learningrandom-forestgradient-boostingfeature-engineering
Jupyter Notebook 9.92 k
1 个月前
DistrictDataLabs/yellowbrick
https://static.github-zh.com/github_avatars/DistrictDataLabs?size=40
DistrictDataLabs / yellowbrick

#计算机科学#Visual analysis and diagnostic tools to facilitate machine learning model selection.

机器学习visual-analysismodel-selection可视化scikit-learnvisualizermatplotlibPythonanaconda
Python 4.35 k
4 个月前
https://static.github-zh.com/github_avatars/rorysroes?size=40
rorysroes / SGX-Full-OrderBook-Tick-Data-Trading-Strategy

#计算机科学#Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

high-frequency-tradinglimit-order-bookPython机器学习feature-selectionfeature-engineeringbacktesting-trading-strategiesmodel-selectiontrading-strategiesquantitative-tradingalgorithmic-tradinginvestmentorderbook-tick-dataquanttradingmarket-makingmarket-makerorderbook
Jupyter Notebook 2.06 k
3 年前
balavenkatesh3322/CV-pretrained-model
https://static.github-zh.com/github_avatars/balavenkatesh3322?size=40
balavenkatesh3322 / CV-pretrained-model

#Awesome#A collection of computer vision pre-trained models.

机器视觉TensorflowKerasPyTorchmxnetmodelsmodelpretrained-modelspretrained数据科学深度学习神经网络Awesome Listsobject-detectionimage-classificationImagevideo-analysismodel-selectionPython
1.34 k
4 年前
https://static.github-zh.com/github_avatars/DeepWisdom?size=40
DeepWisdom / AutoDL

#计算机科学#Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

autodlautomlnasfeature-engineeringmodel-selectionfull-automl人工智能lightgbmresnetPyTorchTensorflowPython深度学习数据科学机器学习big-datamulti-labelautomated-machine-learning
Python 1.16 k
3 年前
https://static.github-zh.com/github_avatars/sberbank-ai-lab?size=40
sberbank-ai-lab / LightAutoML

#自然语言处理#LAMA - automatic model creation framework

automlclassificationregressionPyTorch自然语言处理model-selectionparameter-tuningautomated-machine-learninglamapipeline数据科学feature-engineeringstackingkagglegradient-boostingblackbox
Python 926
3 年前
https://static.github-zh.com/github_avatars/alteryx?size=40
alteryx / evalml

#计算机科学#EvalML is an AutoML library written in python.

automl机器学习数据科学model-selectionhyperparameter-tuningoptimizationfeature-engineeringfeature-selection
Python 811
13 天前
https://static.github-zh.com/github_avatars/smartcorelib?size=40
smartcorelib / smartcore

#计算机科学#A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

机器学习statistical-learningstatistical-modelsRustclusteringclassificationregressionmodel-selectionscientific-computing
Rust 800
14 天前
https://static.github-zh.com/github_avatars/Western-OC2-Lab?size=40
Western-OC2-Lab / AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

#计算机科学#Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

automated-machine-learningautomlconcept-driftdata-preprocessingdata-stream-processingdata-streams深度学习feature-engineeringhyperparameter-tuningintrusion-detection-systemInternet of things机器学习model-selection
Jupyter Notebook 628
1 年前
https://static.github-zh.com/github_avatars/cerlymarco?size=40
cerlymarco / shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

parameter-tuninghyperparameter-optimizationfeature-selectionmodel-selectionxgboostlightgbmshap
Jupyter Notebook 577
1 年前
https://static.github-zh.com/github_avatars/BCG-X-Official?size=40
BCG-X-Official / facet

#计算机科学#Human-explainable AI.

数据科学机器学习Pythondata-analyticsmodel-selectionhyperparameter-tuninginterpretabilityexplainable-ai统计Simulation
Jupyter Notebook 523
1 年前
https://static.github-zh.com/github_avatars/SimonBlanke?size=40
SimonBlanke / Hyperactive

#计算机科学#An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

hyperparameter-optimizationscikit-learn机器学习Python数据科学parameter-tuningxgboostKeras深度学习bayesian-optimizationparallel-computingneural-architecture-searchautomated-machine-learningoptimizationPyTorchfeature-engineeringmodel-selection
Python 523
6 天前
https://static.github-zh.com/github_avatars/yzkang?size=40
yzkang / My-Data-Competition-Experience

#计算机科学#本人多次机器学习与大数据竞赛Top5的经验总结,满满的干货,拿好不谢

机器学习kaggle-competition数据科学tianchi-competitionxgboostlightgbmcatboostfeature-engineeringhyperparameter-optimizationmodel-selectionfeature-selectionautomlSQLPython深度学习Generative Adversarial Network
Python 397
4 年前
https://static.github-zh.com/github_avatars/joshspeagle?size=40
joshspeagle / dynesty

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

mit-licensebayesian-inferencemodel-selection
Python 379
2 个月前
https://static.github-zh.com/github_avatars/rodrigo-arenas?size=40
rodrigo-arenas / Sklearn-genetic-opt

#计算机科学#ML hyperparameters tuning and features selection, using evolutionary algorithms.

Pythonscikit-learn机器学习人工智能looking-for-contributorsmodel-selectionhyperparameter-optimizationautomlbegginer-friendlyevolutionary-algorithmscontributions-welcomehelp-wantedgood-first-issuegoodfirstissueup-for-grabsfeature-selection
Python 339
5 天前
https://static.github-zh.com/github_avatars/WenjieZ?size=40
WenjieZ / TSCV

#计算机科学#Time Series Cross-Validation -- an extension for scikit-learn

time-seriescross-validationmodel-selectionbacktestinghyperparameter-optimizationtuning-parameters机器学习数据科学
Python 256
2 年前
https://static.github-zh.com/github_avatars/GenseeAI?size=40
GenseeAI / cognify

Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple age...

agentagentic-workflowagents人工智能automldspylangchainlanggraphmodel-selectionoptimizationprompt-tuning
Python 236
1 个月前
https://static.github-zh.com/github_avatars/Alex-Lekov?size=40
Alex-Lekov / AutoML_Alex

#计算机科学#State-of-the art Automated Machine Learning python library for Tabular Data

automlauto-mloptimisation机器学习cross-validationxgbooststackinghyperparameter-optimizationhyperparameter-tuningscikit-learnPython数据科学model-selectionautomatic-machine-learning
Python 233
2 年前
https://static.github-zh.com/github_avatars/EpistasisLab?size=40
EpistasisLab / tpot2

#计算机科学#A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

automated-machine-learning自动化automl数据科学feature-engineeringgradient-boostinghyperparameter-optimization机器学习model-selectionparameter-tuningPythonrandom-forestscikit-learn
Jupyter Notebook 233
4 个月前
https://static.github-zh.com/github_avatars/Cibiv?size=40
Cibiv / IQ-TREE

Efficient phylogenomic software by maximum likelihood

phylogeneticsmodel-selection
C++ 202
4 年前
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