An open API service providing repository metadata for many open source software ecosystems.

Topic: "model-selection"

EpistasisLab/tpot

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

Language: Jupyter Notebook - Size: 86.9 MB - Last synced at: 9 minutes ago - Pushed at: 2 days ago - Stars: 9,902 - Forks: 1,578

DistrictDataLabs/yellowbrick

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

Language: Python - Size: 77 MB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 4,340 - Forks: 559

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.

Language: Jupyter Notebook - Size: 83.6 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 2,019 - Forks: 673

balavenkatesh3322/CV-pretrained-model

A collection of computer vision pre-trained models.

Size: 1.1 MB - Last synced at: 5 days ago - Pushed at: about 4 years ago - Stars: 1,332 - Forks: 190

DeepWisdom/AutoDL

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

Language: Python - Size: 4.46 MB - Last synced at: about 4 hours ago - Pushed at: over 2 years ago - Stars: 1,160 - Forks: 217

sberbank-ai-lab/LightAutoML 📦

LAMA - automatic model creation framework

Language: Python - Size: 23.4 MB - Last synced at: 12 days ago - Pushed at: about 3 years ago - Stars: 925 - Forks: 96

alteryx/evalml

EvalML is an AutoML library written in python.

Language: Python - Size: 16.3 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 807 - Forks: 89

smartcorelib/smartcore

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

Language: Rust - Size: 1.48 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 782 - Forks: 83

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

Language: Jupyter Notebook - Size: 5.43 MB - Last synced at: 4 days ago - Pushed at: 12 months ago - Stars: 629 - Forks: 112

cerlymarco/shap-hypetune

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

Language: Jupyter Notebook - Size: 122 KB - Last synced at: 4 days ago - Pushed at: 11 months ago - Stars: 576 - Forks: 73

BCG-X-Official/facet

Human-explainable AI.

Language: Jupyter Notebook - Size: 50.5 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 520 - Forks: 47

SimonBlanke/Hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Language: Python - Size: 30.5 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 517 - Forks: 48

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

Language: Python - Size: 27.6 MB - Last synced at: 14 days ago - Pushed at: about 4 years ago - Stars: 393 - Forks: 68

joshspeagle/dynesty

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Language: Python - Size: 143 MB - Last synced at: 8 days ago - Pushed at: 15 days ago - Stars: 377 - Forks: 84

rodrigo-arenas/Sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Language: Python - Size: 124 MB - Last synced at: 28 days ago - Pushed at: 4 months ago - Stars: 334 - Forks: 79

WenjieZ/TSCV

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

Language: Python - Size: 224 KB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 255 - Forks: 42

Alex-Lekov/AutoML_Alex

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

Language: Python - Size: 25.9 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 232 - Forks: 43

EpistasisLab/tpot2

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

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: about 10 hours ago - Pushed at: 3 months ago - Stars: 230 - Forks: 31

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 agent/workflow framework

Language: Python - Size: 4.58 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 227 - Forks: 23

Cibiv/IQ-TREE 📦

Efficient phylogenomic software by maximum likelihood

Language: C++ - Size: 65.4 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 180 - Forks: 45

JohannesBuchner/UltraNest

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

Language: Python - Size: 167 MB - Last synced at: 9 days ago - Pushed at: 4 months ago - Stars: 179 - Forks: 31

christophmark/bayesloop

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

Language: Python - Size: 11.1 MB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 163 - Forks: 28

heidelbergcement/hcrystalball

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

Language: Python - Size: 10.9 MB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 151 - Forks: 20

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

Language: Python - Size: 828 KB - Last synced at: 26 days ago - Pushed at: about 5 years ago - Stars: 145 - Forks: 29

automix-llm/automix

Mixing Language Models with Self-Verification and Meta-Verification

Language: Jupyter Notebook - Size: 2.26 MB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 104 - Forks: 8

tlverse/sl3

💪 🤔 Modern Super Learning with Machine Learning Pipelines

Language: R - Size: 11.2 MB - Last synced at: 16 days ago - Pushed at: 6 months ago - Stars: 102 - Forks: 43

metriculous-ml/metriculous

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

Language: Python - Size: 3.54 MB - Last synced at: 29 days ago - Pushed at: 8 months ago - Stars: 97 - Forks: 11

maxim5/hyper-engine

Python library for Bayesian hyper-parameters optimization

Language: Python - Size: 399 KB - Last synced at: 18 days ago - Pushed at: over 6 years ago - Stars: 90 - Forks: 22

mononitogoswami/tsad-model-selection

Code for "Unsupervised Model Selection for Time-series Anomaly Detection", ICLR 2023.

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 77 - Forks: 14

alessandrolulli/reforest

Random Forests in Apache Spark

Language: Scala - Size: 71 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 72 - Forks: 11

BCG-X-Official/sklearndf

DataFrame support for scikit-learn.

Language: Python - Size: 15.3 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 63 - Forks: 7

JohannesBuchner/BXA

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

Language: Python - Size: 80 MB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 60 - Forks: 20

junipertcy/bipartiteSBM

A Bayesian model+algorithm for community detection in bipartite networks

Language: Python - Size: 4.1 MB - Last synced at: 4 days ago - Pushed at: over 4 years ago - Stars: 57 - Forks: 9

LFhase/PAIR

[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization

Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 47 - Forks: 3

merliseclyde/BAS

BAS R package for Bayesian Model Averaging and Variable Selection

Language: R - Size: 149 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 44 - Forks: 16

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

Language: Jupyter Notebook - Size: 27 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 41 - Forks: 37

fjxmlzn/InfoGAN-CR

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

Language: Python - Size: 920 KB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 41 - Forks: 8

bambinos/kulprit

Kullback-Leibler projections for Bayesian model selection in Python

Language: Python - Size: 4.85 MB - Last synced at: 5 days ago - Pushed at: 28 days ago - Stars: 34 - Forks: 5

boniolp/MSAD

[VLDB 2023] Model Selection for Anomaly Detection in Time Series

Language: Jupyter Notebook - Size: 67.3 MB - Last synced at: 11 days ago - Pushed at: 7 months ago - Stars: 33 - Forks: 6

mamunm/BayesianFramework

A framework for Bayesian model selection (BMS) and Bayesian model Averaging (BMA).

Language: Python - Size: 60.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 32 - Forks: 13

config-i1/greybox

Regression model building and forecasting in R

Language: R - Size: 4.43 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 31 - Forks: 7

medoidai/skrobot

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

Language: Python - Size: 47.2 MB - Last synced at: 15 days ago - Pushed at: 8 months ago - Stars: 24 - Forks: 2

astro-informatics/proxnest

Proximal Nested Sampling for high-dimensional Bayesian model selection

Language: Jupyter Notebook - Size: 15.9 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 23 - Forks: 4

OpenMendel/MendelIHT.jl

Iterative hard thresholding for l0 penalized regression

Language: Julia - Size: 119 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 23 - Forks: 4

Oxid15/cascade

Lightweight and modular MLOps library targeted at small teams or individuals

Language: Python - Size: 46.2 MB - Last synced at: about 17 hours ago - Pushed at: 4 days ago - Stars: 22 - Forks: 1

vinuesa/TIB-filoinfo

Talleres Internacionales de Bioinformática - Centro de Ciencias Genómicas, UNAM, Cuernavaca, México

Language: Shell - Size: 160 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 22 - Forks: 5

MauroCE/PythonBRMLtoolbox

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

Language: Python - Size: 690 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 22 - Forks: 3

fluidml/fluidml

FluidML is a lightweight framework for developing machine learning pipelines.

Language: Python - Size: 29.1 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 3

DiegoUsaiUK/Propensity_Modelling

Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign

Language: R - Size: 34.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 11

ADALabUCSD/cerebro-system

Data System for Optimized Deep Learning Model Selection

Language: Python - Size: 31.2 MB - Last synced at: 23 days ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 11

chengl7/LonGP

Gaussian process regression + automatical model selection for logitudinal -omics data

Language: MATLAB - Size: 56.4 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 19 - Forks: 4

mdabros/SharpLearning.Examples

Code examples for SharpLearning

Language: C# - Size: 7.18 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 19 - Forks: 14

csinva/mdl-complexity

MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 5 days ago - Pushed at: almost 2 years ago - Stars: 18 - Forks: 2

orrzohar/LOVM

[NeurIPS 2023] Official Pytorch code for LOVM: Language-Only Vision Model Selection

Language: Python - Size: 4.44 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 15 - Forks: 0

anjalisilva/MPLNClust

R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model

Language: R - Size: 19.7 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 15 - Forks: 4

dbolya/parc

A benchmark suite for Scalable Diverse Model Selection for Accessible Transfer Learning from our NeurIPS 2021 paper.

Language: Python - Size: 41 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 3

Marcnuth/genetics

Genetic Algorithm in Python, which could be used for Sampling, Feature Select, Model Select, etc in Machine Learning

Language: Python - Size: 11.7 KB - Last synced at: 23 days ago - Pushed at: over 5 years ago - Stars: 15 - Forks: 5

contefranz/OpTop

Optimal topic identification from a pool of Latent Dirichlet Allocation models

Language: R - Size: 327 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 14 - Forks: 0

lr94/abas

Code release for Adversarial Branch Architecture Search for Unsupervised Domain Adaptation

Language: Python - Size: 117 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 13 - Forks: 1

christophmark/bayesianfridge

Sequential Monte Carlo sampler for PyMC2 models.

Language: Python - Size: 54.7 KB - Last synced at: 15 days ago - Pushed at: about 7 years ago - Stars: 13 - Forks: 3

ltfschoen/AIND-Recognizer

Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)

Language: Jupyter Notebook - Size: 2.14 MB - Last synced at: 24 days ago - Pushed at: about 8 years ago - Stars: 13 - Forks: 5

mauricelanghinrichs/ABCdeZ.jl

Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.

Language: Julia - Size: 894 KB - Last synced at: 29 days ago - Pushed at: 2 months ago - Stars: 12 - Forks: 1

PEtab-dev/petab_select

Model selection for PEtab

Language: Python - Size: 619 KB - Last synced at: 23 days ago - Pushed at: 3 months ago - Stars: 12 - Forks: 1

JonasRieger/rollinglda

A rolling version of the Latent Dirichlet Allocation.

Language: R - Size: 1.19 MB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 3

rakshithvasudev/Home-Credit-Default-Risk

Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)

Language: Jupyter Notebook - Size: 15 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 7

agoda-com/spark-hpopt

Bayesian hyperparamter tuning for Spark MLLib

Language: Jupyter Notebook - Size: 711 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 11 - Forks: 1

fchamroukhi/SaMUraiS

StAtistical Models for the UnsupeRvised segmentAion of tIme-Series

Language: R - Size: 10.8 MB - Last synced at: 8 days ago - Pushed at: over 5 years ago - Stars: 11 - Forks: 1

ches-001/metatune

Search for a model and corresponding hyperparameters that best model your data

Language: Python - Size: 257 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 10 - Forks: 5

fipelle/replication-pellegrino-2022-hyperparameters

Elastic-net VARMA: hyperparameter optimisation, estimation and forecasting

Language: Julia - Size: 2.56 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 5

chjackson/fic

R package for focused information criteria for model comparison

Language: R - Size: 8.04 MB - Last synced at: 10 days ago - Pushed at: about 2 months ago - Stars: 9 - Forks: 2

JLDC/model-confidence-set

Model Confidence Set (MCS) implementation in Python

Language: Python - Size: 18.6 KB - Last synced at: 7 days ago - Pushed at: 7 months ago - Stars: 9 - Forks: 0

boniolp/ADecimo

[ICDE 2024] a Web-app for Evaluation of Model selection for Anomaly Detection in Time Series

Language: Python - Size: 224 MB - Last synced at: 11 days ago - Pushed at: 7 months ago - Stars: 9 - Forks: 2

junipertcy/bipartiteSBM-MCMC

C++ implementation of a MCMC sampler for the (microcanonical) bipartite SBM

Language: C++ - Size: 211 KB - Last synced at: 4 days ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 1

JonasRieger/ldaPrototype

Determine a Prototype from a number of runs of Latent Dirichlet Allocation.

Language: R - Size: 799 KB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 1

anilsilwal98/AppliedPredictiveModeling

Exercises From Book "Applied Predictive Modeling" by "Kuhn and Johnson (2013)"

Language: R - Size: 34.6 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 4

biona001/Knockoffs.jl

Variable Selection with Knockoffs

Language: Julia - Size: 13.1 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 7 - Forks: 0

MLD3/OfflineRL_ModelSelection

[MLHC 2021] Model Selection for Offline RL: Practical Considerations for Healthcare Settings. https://arxiv.org/abs/2107.11003

Language: Jupyter Notebook - Size: 608 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 4

ilhansevval/Machine_Learning

This repository includes machine learning algorithms which is classification, regression, clustering, NLP, PCA, model selection and recommendation systems

Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 1

BUDDI-AI/CIAMS

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.

Language: Python - Size: 224 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 4

Pongpisit-Thanasutives/UBIC

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery

Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 6 - Forks: 1

BartekPog/modelcreator

Simple python package for creating predictive models

Language: Python - Size: 357 KB - Last synced at: 23 days ago - Pushed at: 11 months ago - Stars: 6 - Forks: 0

zhangyikaii/Model-Spider

The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"

Language: Python - Size: 382 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 1

lacerbi/infbench

Benchmark of posterior and model inference algorithms for (moderately) expensive likelihoods.

Language: MATLAB - Size: 65.4 MB - Last synced at: 20 days ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 3

shangxin-wang/DS100 📦

Language: Jupyter Notebook - Size: 94.4 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 8

imanirajian/Machine-Learning

Machine learning: Practical applications

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 5

statalasso/pdslasso

PDSLASSO: Stata module for post-selection and post-regularization OLS or IV estimation and inference

Language: Stata - Size: 1.14 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 5 - Forks: 2

seonghobae/kaefa

# kaefa kwangwoon automated exploratory factor analysis for improving research capability to identify unexplained factor structure with complexly cross-classified multilevel structured data in R environment

Language: R - Size: 90.1 MB - Last synced at: 7 days ago - Pushed at: 10 months ago - Stars: 5 - Forks: 0

ppsmk388/MoraBench

MoraBench (Model Ranking Benchmark)

Language: Python - Size: 2.31 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

estebanrucan/estyp

ESTYP: Extended Statistical Toolkit Library for Python

Language: Python - Size: 8.07 MB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

scakc/NPBCL

Bayesian Structure Adaptation for Continual Learning. A non-parametric Bayesian approach on continual learning that learns the sparse deep substructure for each task by selecting weights to be used by the deep neural network.

Language: Python - Size: 43.9 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 3

firobeid/Fintech-machine-learning

My Financial Industry ML Applications and Credit Risk models for my final project in the Financial Engineering masters program.

Language: Jupyter Notebook - Size: 7.38 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 4

ElsevierSoftwareX/SOFTX-D-20-00033 Fork of jtchavisIII/CU-MSDSp

A parallelization of RJMCMC. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711021000091

Size: 930 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1

Senmumu/ray_project_doc

ray project 中文文档

Language: Python - Size: 2.95 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1

RoryQo/Tuition-Variation-Research

This project predicts tuition rates for U.S. public and private universities using linear regression with leave-one-out cross-validation. Helping to assess if a college market price, maximizing ROI and minimizing student loan debt.

Language: R - Size: 1.91 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

Pakillo/stats-intro

Introduction to statistical inference

Language: RMarkdown - Size: 39.2 MB - Last synced at: 6 days ago - Pushed at: 6 months ago - Stars: 4 - Forks: 1

statalasso/statalasso.github.io

This is the website repository for the Stata packages lassopack & pdslasso. Please visit:

Language: HTML - Size: 20.4 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 4 - Forks: 1

facebookresearch/glemos

This repository provides code and data for the paper "GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection" (NeurIPS 2023).

Language: Python - Size: 10.8 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

mtrihoang/post-double-selection

Computational Statistics (Summer Semester 2022)

Language: Jupyter Notebook - Size: 3.25 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0

parisa-ahmadi/DataScience-MachineLearning-Projects

Zero to Hero in DS/ML/AI , DataScience, Machine Learning, Artificial Intelligence, Preprocessing, Visualization, Missingvalues, Noises, Modeling

Language: Jupyter Notebook - Size: 22.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

hyiltiz/info

Correctly computed entropy, mutual information, surprisal, KL divergence, all-in-one module.

Language: Python - Size: 16.6 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

Related Topics
machine-learning 136 python 67 data-science 53 feature-engineering 37 classification 36 linear-regression 33 feature-selection 32 exploratory-data-analysis 30 data-visualization 29 regression 28 deep-learning 27 r 26 cross-validation 26 scikit-learn 23 machine-learning-algorithms 23 hyperparameter-optimization 22 hyperparameter-tuning 22 pandas 21 data-analysis 19 logistic-regression 19 data-preprocessing 18 automl 18 jupyter-notebook 17 statistics 17 numpy 17 sklearn 17 random-forest 17 python3 16 clustering 15 pipeline 14 model-evaluation 14 eda 14 bayesian-inference 14 supervised-learning 13 matplotlib 13 predictive-modeling 12 natural-language-processing 12 dimensionality-reduction 12 data-cleaning 12 preprocessing 11 modeling 10 reinforcement-learning 10 nlp 10 regression-models 9 time-series-analysis 9 optimization 9 bayesian-optimization 9 xgboost 9 streamlit 8 seaborn 8 data-wrangling 8 artificial-intelligence 8 r-package 7 automated-machine-learning 7 binary-classification 7 ensemble-learning 7 unsupervised-learning 7 parameter-tuning 7 tensorflow 7 decision-tree 7 neural-networks 7 time-series 7 model-deployment 6 model-comparison 6 anova 6 pytorch 6 model-validation 6 deployment 6 model 6 nested-sampling 6 variable-selection 6 outlier-detection 6 statistical-analysis 6 convolutional-neural-networks 5 feature-extraction 5 prediction-model 5 data-mining 5 neural-network 5 causal-inference 5 decision-trees 5 gradient-boosting 5 monte-carlo 5 classification-model 5 evaluation-metrics 5 ai 5 anomaly-detection 5 datascience 5 roc-curve 5 lasso 5 uncertainty-quantification 5 prediction 5 forecasting 5 model-training-and-evaluation 5 statistical-learning 5 bayesian-information-criterion 5 glm 5 probabilistic-models 4 metrics 4 sklearn-metrics 4 linear-models 4