model-selection

There are 16 repositories under model-selection topic.

ray-project / ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
ray distributed parallel machine-learning reinforcement-learning deep-learning python rllib hyperparameter-search optimization data-science automl hyperparameter-optimization model-selection java serving deployment pytorch tensorflow llm-serving
Language:Python 31386
EpistasisLab / tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
machine-learning python data-science automl automation scikit-learn hyperparameter-optimization model-selection parameter-tuning automated-machine-learning random-forest gradient-boosting feature-engineering aiml alzheimer alzheimers nia u01ag066833 ag066833 adsp
Language:Python 9516
yellowbrick
DistrictDataLabs / yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
anaconda estimator machine-learning matplotlib model-selection python scikit-learn visual-analysis visualization visualizer
Language:Python 4206
rorysroes / SGX-Full-OrderBook-Tick-Data-Trading-Strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
algorithmic-trading backtesting-trading-strategies feature-engineering feature-selection high-frequency-trading investment limit-order-book machine-learning market-maker market-making market-microstructure model-selection orderbook orderbook-tick-data python quant quantitative-trading trading trading-strategies
Language:Jupyter Notebook 1813
CV-pretrained-model
balavenkatesh3322 / CV-pretrained-model
A collection of computer vision pre-trained models.
computer-vision tensorflow keras pytorch mxnet models model pretrained-models pretrained data-science deep-learning neural-network awesome-list object-detection image-classification image video-analysis model-selection python3
1271
DeepWisdom / AutoDL
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
autodl automl nas feature-engineering model-selection full-automl artificial-intelligence lightgbm resnet pytorch tensorflow python autodl-challenge ai deeplearning data-science machine-learning big-data multi-label automated-machine-learning
Language:Python 1111
sberbank-ai-lab / LightAutoML
LAMA - automatic model creation framework
automl classification regression multiclass pytorch nlp model-selection parameter-tuning automated-machine-learning lama pipeline data-science feature-engineering ensembling stacking kaggle gradient-boosting linear-model blackbox whitebox
Language:Python 871
evalml
alteryx / evalml
EvalML is an AutoML library written in python.
automl machine-learning data-science model-selection hyperparameter-tuning optimization feature-engineering feature-selection
Language:Python 720
smartcorelib / smartcore
A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.
machine-learning machine-learning-algorithms statistical-learning statistical-models rust rust-lang clustering classification regression model-selection scientific-computing
Language:Rust 653
Western-OC2-Lab / AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
automated-machine-learning automl concept-drift data-preprocessing data-stream-processing data-streams deep-learning feature-engineering hyperparameter-tuning intrusion-detection-system iot iot-data-analytics machine-learning model-selection python-examples python-samples
Language:Jupyter Notebook 611
cerlymarco / shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
parameter-tuning hyperparameter-optimization feature-selection model-selection xgboost lightgbm shap
Language:Jupyter Notebook 536
facet
BCG-X-Official / facet
Human-explainable AI.
data-science machine-learning python data-analytics model-selection hyperparameter-tuning interpretability explainable-ai shap-vector-decomposition statistics simulation
Language:Jupyter Notebook 498
Hyperactive
SimonBlanke / Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
hyperparameter-optimization scikit-learn machine-learning python data-science parameter-tuning xgboost keras deep-learning bayesian-optimization parallel-computing neural-architecture-search automated-machine-learning optimization pytorch feature-engineering hyperactive model-selection
Language:Python 492
yzkang / My-Data-Competition-Experience
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
machine-learning kaggle-competition data-science tianchi-competition xgboost lightgbm catboost feature-engineering hyperparameter-optimization model-selection feature-selection model-fusion automl sql python deep-learning gan
Language:Python 380
joshspeagle / dynesty
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
nested-sampling pure-python mit-license bayesian-inference monte-carlo model-selection
Language:Python 334
rodrigo-arenas / Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
python scikit-learn machine-learning artificial-intelligence hyperparameters deap looking-for-contributors model-selection hyperparameter-optimization automl begginer-friendly evolutionary-algorithms contributions-welcome help-wanted good-first-issue goodfirstissue sklearn up-for-grabs featureselection feature-selection
Language:Python 274
WenjieZ / TSCV
Time Series Cross-Validation -- an extension for scikit-learn
time-series cross-validation model-selection backtesting hyperparameter-optimization tuning-parameters machine-learning data-science
Language:Python 246
Alex-Lekov / AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
automl auto-ml optimisation ml cross-validation xgboost stacking stacking-ensemble hyperparameter-optimization hyperparameter-tuning sklearn python machine-learning machine-learning-library machine-learning-models data-science data-science-projects model-selection automatic-machine-learning
Language:Python 208
Cibiv / IQ-TREE
Efficient phylogenomic software by maximum likelihood
maximum-likelihood phylogenomics phylogenetics mixture-model iq-tree ultrafast-bootstrap model-selection
Language:C++ 181
heidelbergcement / hcrystalball
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
sklearn fbprophet pmdarima sarimax time-series-forecasting time-series model-selection cross-validation statsmodels tbats sklearn-compatible sklearn-api sklearn-library transformer wrapper data-science sktime
Language:Python 152
EpistasisLab / tpot2
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn ag066833 lm010098
Language:Jupyter Notebook 151
IngoScholtes / pathpy
pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models
temporal-networks pathways analysis sequential-data data data-mining python network-analysis networks graph model-selection machine-learning graphical-models multi-order temporal-correlations
Language:Python 138
christophmark / bayesloop
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
time-series-analysis model-selection bayesian-inference anomaly-detection probabilistic-programming
Language:Python 136
JohannesBuchner / UltraNest
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
nested-sampling python model-selection parallel-computing monte-carlo
Language:Python 132
tlverse / sl3
💪 🤔 Modern Super Learning with Machine Learning Pipelines
machine-learning ensemble-learning ensemble-model model-selection stacking r r-package regression data-science statistics
Language:R 99
metriculous-ml / metriculous
Measure and visualize machine learning model performance without the usual boilerplate.
machine-learning statistics data-science deep-learning model-comparsion python model-evaluation regression classification model-selection visual-analysis precision-recall-curve roc-curve residual-plot confusion-matrix
Language:Python 95
automix-llm / automix
Mixing Language Models with Self-Verification and Meta-Verification
few-shot-learning large-language-models model-selection prompting question-answering
Language:Jupyter Notebook 92
maxim5 / hyper-engine
Python library for Bayesian hyper-parameters optimization
machine-learning deep-learning tensorflow hyperparameter-optimization neural-network data-science python bayesian-optimization gaussian-processes convolutional-neural-networks big-data model-selection random-search optimization-algorithms
Language:Python 85
alessandrolulli / reforest
Random Forests in Apache Spark
random-forest spark spark-mllib random-rotation ensembles model-selection distributed
Language:Scala 71
BCG-X-Official / sklearndf
DataFrame support for scikit-learn.
python data-science machine-learning model-selection hyper-parameter-tuning cross-validation pandas-dataframe feature-traceability
Language:Python 64
junipertcy / bipartiteSBM
A Bayesian model+algorithm for community detection in bipartite networks
stochastic-block-model inference-engine bipartite-network model-selection heuristic clustering
Language:Python 55
mononitogoswami / tsad-model-selection
Code for "Unsupervised Model Selection for Time-series Anomaly Detection", ICLR 2023.
anomaly-detection machine-learning model-selection time-series-analysis unsupervised-learning
Language:Jupyter Notebook 52
JohannesBuchner / BXA
Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)
model-selection nested-sampling python sherpa spectroscopy x-ray-astronomy xspec
Language:Python 51
serodriguez68 / designing-ml-systems-summary
A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must-read for ML practitioners and Software Engineers Transitioning into ML.
artificial-intelligence data-distribution feature-engineering feature-store machine-learning mlops model-selection model-store responsible-ai responsible-ml
49
LFhase / PAIR
[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
causal-inference domain-generalization invariant-learning model-selection multi-objective-optimization optimization out-of-distribution-generalization
Language:Jupyter Notebook 47
eaglewarrior / Machine-learning
This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
algorithm clustering customer-segmentation datascience decision-tree-regression deep-learning hacktober hacktoberfest hactoberfest-accepted linear-regression logisitic-regression machine-learning model-selection neural-networks nlp-machine-learning polynomial-regression prediction-model random-forest-regression
Language:Jupyter Notebook 42

model-selection

ray-project / ray

EpistasisLab / tpot

DistrictDataLabs / yellowbrick

rorysroes / SGX-Full-OrderBook-Tick-Data-Trading-Strategy

balavenkatesh3322 / CV-pretrained-model

DeepWisdom / AutoDL

sberbank-ai-lab / LightAutoML

alteryx / evalml

smartcorelib / smartcore

Western-OC2-Lab / AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

cerlymarco / shap-hypetune

BCG-X-Official / facet

SimonBlanke / Hyperactive

yzkang / My-Data-Competition-Experience

joshspeagle / dynesty

rodrigo-arenas / Sklearn-genetic-opt

WenjieZ / TSCV

Alex-Lekov / AutoML_Alex

Cibiv / IQ-TREE

heidelbergcement / hcrystalball

EpistasisLab / tpot2

IngoScholtes / pathpy

christophmark / bayesloop

JohannesBuchner / UltraNest

tlverse / sl3

metriculous-ml / metriculous

automix-llm / automix

maxim5 / hyper-engine

alessandrolulli / reforest

BCG-X-Official / sklearndf

junipertcy / bipartiteSBM

mononitogoswami / tsad-model-selection

JohannesBuchner / BXA

serodriguez68 / designing-ml-systems-summary

LFhase / PAIR

eaglewarrior / Machine-learning