Topic: model-selection Goto Github
Some thing interesting about model-selection
Some thing interesting about model-selection
model-selection,Random Forests in Apache Spark
User: alessandrolulli
model-selection,State-of-the art Automated Machine Learning python library for Tabular Data
User: alex-lekov
model-selection,EvalML is an AutoML library written in python.
Organization: alteryx
Home Page: https://evalml.alteryx.com
model-selection,Proximal Nested Sampling for high-dimensional Bayesian model selection
Organization: astro-informatics
Home Page: https://astro-informatics.github.io/proxnest/
model-selection,Mixing Language Models with Self-Verification and Meta-Verification
Organization: automix-llm
model-selection,A collection of computer vision pre-trained models.
User: balavenkatesh3322
model-selection,Kullback-Leibler projections for Bayesian model selection in Python
Organization: bambinos
Home Page: https://kulprit.readthedocs.io
model-selection,Human-explainable AI.
Organization: bcg-x-official
Home Page: https://bcg-x-official.github.io/facet
model-selection,DataFrame support for scikit-learn.
Organization: bcg-x-official
Home Page: https://bcg-x-official.github.io/sklearndf/
model-selection,[VLDB 2023] Model Selection for Anomaly Detection in Time Series
User: boniolp
Home Page: https://adecimots.streamlit.app/
model-selection,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
User: cerlymarco
model-selection,Gaussian process regression + automatical model selection for logitudinal -omics data
User: chengl7
model-selection,Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
User: christophmark
Home Page: http://bayesloop.com
model-selection,Efficient phylogenomic software by maximum likelihood
Organization: cibiv
Home Page: http://www.iqtree.org
model-selection,Regression model building and forecasting in R
User: config-i1
model-selection,Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Organization: deepwisdom
Home Page: http://fuzhi.ai
model-selection,Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
User: diegousaiuk
Home Page: https://diegousai.io/
model-selection,Visual analysis and diagnostic tools to facilitate machine learning model selection.
Organization: districtdatalabs
Home Page: http://www.scikit-yb.org/
model-selection,This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
User: eaglewarrior
model-selection,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Organization: epistasislab
Home Page: http://epistasislab.github.io/tpot/
model-selection,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Organization: epistasislab
Home Page: https://epistasislab.github.io/tpot2/
model-selection,[ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
User: fjxmlzn
Home Page: https://arxiv.org/abs/1906.06034
model-selection,FluidML is a lightweight framework for developing machine learning pipelines.
Organization: fluidml
model-selection,A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
Organization: heidelbergcement
Home Page: https://hcrystalball.readthedocs.io/
model-selection,pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models
User: ingoscholtes
model-selection,Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)
User: johannesbuchner
Home Page: https://johannesbuchner.github.io/BXA/
model-selection,Fit and compare complex models reliably and rapidly. Advanced nested sampling.
User: johannesbuchner
Home Page: https://johannesbuchner.github.io/UltraNest/
model-selection,Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
User: joshspeagle
Home Page: https://dynesty.readthedocs.io/
model-selection,A Bayesian model+algorithm for community detection in bipartite networks
User: junipertcy
Home Page: https://docs.netscied.tw/bipartiteSBM/index.html
model-selection,[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
User: lfhase
model-selection,A framework for Bayesian model selection (BMS) and Bayesian model Averaging (BMA).
User: mamunm
model-selection,Python 3.7 version of David Barber's MATLAB BRMLtoolbox
User: mauroce
model-selection,Python library for Bayesian hyper-parameters optimization
User: maxim5
Home Page: https://pypi.python.org/pypi/hyperengine
model-selection,Code examples for SharpLearning
User: mdabros
model-selection,skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
Organization: medoidai
model-selection,BAS R package https://merliseclyde.github.io/BAS/
User: merliseclyde
Home Page: https://merliseclyde.github.io/BAS/
model-selection,Measure and visualize machine learning model performance without the usual boilerplate.
Organization: metriculous-ml
model-selection,Code for "Unsupervised Model Selection for Time-series Anomaly Detection", ICLR 2023.
User: mononitogoswami
model-selection,Iterative hard thresholding for l0 penalized regression
Organization: openmendel
model-selection,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.
Organization: ray-project
Home Page: https://ray.io
model-selection,ML hyperparameters tuning and features selection, using evolutionary algorithms.
User: rodrigo-arenas
Home Page: https://sklearn-genetic-opt.readthedocs.io
model-selection,Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
User: rorysroes
model-selection,LAMA - automatic model creation framework
Organization: sberbank-ai-lab
model-selection,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.
User: serodriguez68
Home Page: https://www.oreilly.com/library/view/designing-machine-learning/9781098107956/
model-selection,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
User: simonblanke
Home Page: https://simonblanke.github.io/hyperactive-documentation
model-selection,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.
Organization: smartcorelib
Home Page: https://smartcorelib.org/
model-selection,💪 🤔 Modern Super Learning with Machine Learning Pipelines
Organization: tlverse
Home Page: https://tlverse.org/sl3/
model-selection,Time Series Cross-Validation -- an extension for scikit-learn
User: wenjiez
Home Page: https://tscv.readthedocs.io
model-selection,Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Organization: western-oc2-lab
model-selection,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
User: yzkang
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