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Search results for model selection
model-selection
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75 search results found
Ray
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29,596
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.
Tpot
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9,516
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Yellowbrick
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4,102
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Sgx Full Orderbook Tick Data Trading Strategy
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1,151
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Autodl
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999
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Cv Pretrained Model
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991
A collection of computer vision pre-trained models.
Lightautoml
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769
LAMA - automatic model creation framework
Evalml
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679
EvalML is an AutoML library written in python.
Smartcore
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600
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.
Shap Hypetune
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496
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Facet
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483
Human-explainable AI.
Hyperactive
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475
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Automl Implementation For Static And Dynamic Data Analytics
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443
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Dynesty
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323
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
My Data Competition Experience
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271
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
Sklearn Genetic Opt
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236
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Tscv
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226
Time Series Cross-Validation -- an extension for scikit-learn
Automl_alex
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171
State-of-the art Automated Machine Learning python library for Tabular Data
Hcrystalball
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135
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
Bayesloop
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127
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
Iq Tree
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125
Efficient phylogenomic software by maximum likelihood
Ultranest
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119
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
Tpot2
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118
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Pathpy
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102
pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models
Sl3
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98
💪 🤔 Modern Super Learning with Machine Learning Pipelines
Metriculous
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94
Measure and visualize machine learning model performance without the usual boilerplate.
Reforest
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69
Random Forests in Apache Spark
Hyper Engine
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69
Python library for Bayesian hyper-parameters optimization
Sklearndf
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59
DataFrame support for scikit-learn.
Automix
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56
Mixing Language Models with Self-Verification and Meta-Verification
Bxa
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47
Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)
Bipartitesbm
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44
Heuristic and inference engine for estimating the number of communities in a bipartite network
Machine Learning
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41
This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
Bas
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41
BAS R package https://merliseclyde.github.io/BAS/
Pair
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39
[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
Tsad Model Selection
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32
Code for "Unsupervised Model Selection for Time-series Anomaly Detection", ICLR 2023.
Bayesianframework
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31
A framework for Bayesian model selection (BMS) and Bayesian model Averaging (BMA).
Greybox
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25
Regression model building and forecasting in R
Kulprit
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25
Kullback-Leibler projections for Bayesian model selection in Python
Mendeliht.jl
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21
Iterative hard thresholding for l0 penalized regression
Fluidml
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19
FluidML is a lightweight framework for developing machine learning pipelines.
Skrobot
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19
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
Cerebro System
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18
Data System for Optimized Deep Learning Model Selection
Proxnest
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17
Proximal Nested Sampling for high-dimensional Bayesian model selection
Propensity_modelling
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16
Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
Campaign Critic
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16
A web app that helps Kickstarter creators increase their chances of being funded
Mplnclust
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15
R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
Mdl Complexity
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15
MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
Cascade
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15
Lightweight and modular MLOps library targeted at small teams or individuals
Infogan Cr
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15
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs, ICML 2020
Tib Filoinfo
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14
Talleres Internacionales de Bioinformática - Centro de Ciencias Genómicas, UNAM, Cuernavaca, México
Msad
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13
Model Selection for Anomaly Detection in Time Series
Lovm
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12
[NeurIPS 2023] Official Pytorch code for LOVM: Language-Only Vision Model Selection
Genetics
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11
Genetic Algorithm in Python, which could be used for Sampling, Feature Select, Model Select, etc in Machine Learning
Aind Recognizer
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10
Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)
Pythonbrmltoolbox
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10
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
Sharplearning.examples
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10
Code examples for SharpLearning
Abas
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10
Code release for Adversarial Branch Architecture Search for Unsupervised Domain Adaptation
Rollinglda
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9
A rolling version of the Latent Dirichlet Allocation.
Home Credit Default Risk
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9
Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)
Replication Pellegrino 2022 Hyperparameters
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9
Elastic-net VARMA: hyperparameter optimisation, estimation and forecasting
Longp
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9
Gaussian process regression + automatical model selection for logitudinal -omics data
Optop
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8
Optimal topic identification from a pool of Latent Dirichlet Allocation models
Fic
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8
R package for focused information criteria for model comparison
Bayesianfridge
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8
Sequential Monte Carlo sampler for PyMC2 models.
Parc
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7
A benchmark suite for Scalable Diverse Model Selection for Accessible Transfer Learning from our NeurIPS 2021 paper.
Bipartitesbm Mcmc
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7
C++ implementation of a MCMC sampler for the (microcanonical) bipartite SBM
Mixmvpln
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7
R Package to Perform Clustering of Three-way Count Data Using Mixtures of Matrix Variate Poisson-log Normal Model With Parameter Estimation via MCMC-EM, Variational Gaussian Approximations, or a Hybrid Approach Combining Both.
Ldaprototype
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7
Determine a Prototype from a number of runs of Latent Dirichlet Allocation.
Offlinerl_modelselection
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7
[MLHC 2021] Model Selection for Offline RL: Practical Considerations for Healthcare Settings. https://arxiv.org/abs/2107.11003
Metatune
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6
Search for a model and corresponding hyperparameters that best model your data
Spark Hpopt
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6
Bayesian hyperparamter tuning for Spark MLLib
Ciams
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6
A toolkit for automatically selecting a suitable classification model along with an assessment of how hard or easy to learn a classifier on the given dataset.
Samurais
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5
StAtistical Models for the UnsupeRvised segmentAion of tIme-Series
Modelcreator
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5
Simple python package for creating predictive models
1-75 of 75 search results
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