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model-selection

Here are 174 public repositories matching this topic...

ray-project / ray

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Open

Canonicalize the python lint options

barakmich commented Dec 11, 2020

Currently, most of the linters we run on CI are controlled by command line arguments in https://github.com/ray-project/ray/blob/master/ci/travis/format.sh

Python supports things like setup.cfg or tox.ini as a general config file for its many linters. It'd be nice to use them.

#12800 is a band-aid that fixes it, partially, for flake8 specifically, but is generally the right idea. It'd b

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enhancement good first issue

Open

[serve] Better validation for arguments to client.start()

Open

[Core] Ray.get(timeout=0) doesn't work

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EpistasisLab / tpot

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A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

python data-science machine-learning automation random-forest scikit-learn model-selection xgboost hyperparameter-optimization feature-engineering automl gradient-boosting automated-machine-learning parameter-tuning

Updated Dec 16, 2020
Python

yellowbrick

DistrictDataLabs / yellowbrick

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Visual analysis and diagnostic tools to facilitate machine learning model selection.

visualization python machine-learning anaconda scikit-learn visualizer model-selection estimator visual-analysis matplotlib

Updated Nov 1, 2020
Python

CV-pretrained-model

balavenkatesh3322 / CV-pretrained-model

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A collection of computer vision pre-trained models.

data-science image computer-vision deep-learning neural-network mxnet tensorflow model models keras python3 pytorch model-selection image-classification awesome-list object-detection pretrained-models pretrained video-analysis

Updated Nov 19, 2020

DeepWisdom / AutoDL

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Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

Updated Nov 30, 2020
Python

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

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

python machine-learning trading feature-selection model-selection quant trading-strategies investment market-maker feature-engineering algorithmic-trading backtesting-trading-strategies limit-order-book quantitative-trading orderbook market-microstructure high-frequency-trading market-making orderbook-tick-data

Updated Feb 14, 2017
Jupyter Notebook

yzkang / My-Data-Competition-Experience

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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

python data-science machine-learning sql deep-learning feature-selection kaggle-competition gan model-selection xgboost hyperparameter-optimization lightgbm feature-engineering automl catboost model-fusion tianchi-competition

Updated Dec 4, 2020
Python

joshspeagle / dynesty

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Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

monte-carlo model-selection mit-license bayesian-inference pure-python nested-sampling

Updated Oct 5, 2020
Python

sberbank-ai-lab / LightAutoML

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LAMA - automatic model creation framework

Updated Dec 17, 2020
Python

WenjieZ / TSCV

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Time Series Cross-Validation -- an extension for scikit-learn

data-science machine-learning time-series cross-validation model-selection hyperparameter-optimization tuning-parameters backtesting

Updated Feb 20, 2020
Python

Cibiv / IQ-TREE

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Efficient phylogenomic software by maximum likelihood

phylogenetics model-selection mixture-model maximum-likelihood phylogenomics iq-tree ultrafast-bootstrap

Updated Dec 2, 2020
C++

Alex-Lekov / AutoML_Alex

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State-of-the art Automated Machine Learning python library for Tabular Data

python data-science machine-learning sklearn cross-validation ml model-selection xgboost hyperparameter-optimization machine-learning-library hyperparameter-tuning optimisation automl stacking auto-ml machine-learning-models automatic-machine-learning data-science-projects stacking-ensemble

Updated Nov 23, 2020
Python

IngoScholtes / pathpy

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pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

python data machine-learning data-mining graph analysis model-selection networks temporal-networks graphical-models pathways network-analysis sequential-data multi-order temporal-correlations

Updated May 2, 2020
Python

heidelbergcement / hcrystalball

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A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

wrapper data-science time-series sklearn parallel cross-validation transformer model-selection statsmodels wrapper-library sklearn-compatible fbprophet sarimax time-series-forecasting sklearn-library sklearn-api pmdarima tbats

Updated Nov 27, 2020
Python

christophmark / bayesloop

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Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

model-selection probabilistic-programming bayesian-inference time-series-analysis anomaly-detection

Updated Mar 23, 2020
Python

maxim5 / hyper-engine

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Python library for Bayesian hyper-parameters optimization

python data-science machine-learning big-data deep-learning neural-network tensorflow model-selection hyperparameter-optimization convolutional-neural-networks gaussian-processes bayesian-optimization random-search optimization-algorithms

Updated Aug 28, 2018
Python

tlverse / sl3

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💪

🤔 Modern Super Learning using Pipelines

data-science machine-learning r statistics regression model-selection ensemble-learning r-package ensemble-model stacking

Updated Dec 2, 2020
R

metriculous-ml / metriculous

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Measure and visualize machine learning model performance without the usual boilerplate.

python data-science machine-learning statistics deep-learning regression model-selection classification visual-analysis confusion-matrix roc-curve model-evaluation precision-recall-curve model-comparsion residual-plot

Updated Dec 18, 2020
Python

alessandrolulli / reforest

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Random Forests in Apache Spark

spark random-forest distributed model-selection ensembles spark-mllib random-rotation

Updated Jun 13, 2019
Scala

evalml

alteryx / evalml

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Open

Allow X to be None in Time Series Pipelines

1

jeremyliweishih commented Dec 7, 2020

In previous EvalML pipelines we have always made the assumption that X cannot be None. However, with the addition of the TimeSeriesBaselineRegressor and plans to add more estimators that rely only on y (such as ARIMA, PROPHET) we can revise this assumption for TimeSeriesRegressionPipelines.

This issue keeps track of:

Removing the ValueError from TimeSeriesRegressionPipeline.fit a

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enhancement good first issue

Open

Add thread count parameter to Catboost/XGBoost estimators

Open

Add GLM regressor and classifier

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smartcorelib / smartcore

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SmartCore is 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.

rust machine-learning clustering machine-learning-algorithms statistical-learning regression rust-lang scientific-computing model-selection classification statistical-models

Updated Dec 18, 2020
Rust

yzhao062 / MetaOD

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Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)

python model-selection outlier-detection automated-machine-learning anomaly-detection

Updated Sep 28, 2020
Python

junipertcy / bipartiteSBM

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Heuristic and inference engine for estimating the number of communities in a bipartite network

clustering model-selection heuristic stochastic-block-model bipartite-network inference-engine

Updated Sep 25, 2020
Python

merliseclyde / BAS

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BAS R package

cran regression variable-selection model-selection bayesian r-package predictive-modeling mcmc

Updated Nov 10, 2020
C

JohannesBuchner / UltraNest

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Fit and compare complex models reliably and rapidly. Advanced nested sampling.

python monte-carlo parallel-computing model-selection nested-sampling

Updated Dec 20, 2020
Python

fjxmlzn / InfoGAN-CR

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[ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs

metrics sap generative-adversarial-network gan model-selection representation gans celeba dci mig disentanglement dsprites disentangled-representations disentangled infogan-cr contrastive-regularizers model-centrality 3d-teapot factorvae-metric betavae-metric

Updated Oct 25, 2020
Python

medoidai / skrobot

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skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

python data-science machine-learning scikit-learn feature-selection artificial-intelligence model-selection modelling hyperparameter-tuning model-evaluation model-training model-tuning predictive-modelling

Updated Dec 9, 2020
Python

eaglewarrior / Machine-learning

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This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

machine-learning algorithm deep-learning clustering linear-regression probability datascience model-selection naive-bayes-classifier neural-networks polynomial-regression hacktoberfest nlp-machine-learning prediction-model logisitic-regression decision-tree-regression customer-segmentation random-forest-regression hacktoberfest2020

Updated Oct 31, 2020
Jupyter Notebook

redwanhuq / campaign-critic

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A web app that helps Kickstarter creators increase their chances of being funded

machine-learning natural-language-processing exploratory-data-analysis postgresql cross-validation datascience model-selection classification logistic-regression regularization webscraping

Updated Oct 3, 2017
Jupyter Notebook

JohannesBuchner / BXA

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Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)

python model-selection spectroscopy sherpa nested-sampling xspec x-ray-astronomy

Updated Oct 22, 2020
Python

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