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481 search results found
Sagemaker R Sdk
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8
A library for training and deploying machine learning models on Amazon SageMaker using R through paws sdk
Environmental Data Science
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8
A list of books, events, articles, journals, courses, etc related to Environmental Data Science.
Anchorsonr
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8
Implementation of the Anchors algorithm: Explain black-box ML models
Hgsc_subtypes
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8
Two or three subtypes of high grade serous ovarian cancer subtypes fit data from different populations better than four
Statistical Methods And Machine Learning In R
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8
This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.
Deep Learning Seminar
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8
Sequence Modeling: Recurrent and Recursive nets
Ethnicolor
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8
Race and Ethnicity based on name using data from census, voter reg. files, etc.
Xy
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8
Simulating Supervised Learning Data
Azureml R Serialization
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8
A tutorial with example code on serializing R objects in the Microsoft Azure Machine Learning Environment
Mt5r
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7
Easy integration between R and MT5 using socket connection, tailored to fit Machine Learning users and traders needs
Edu_adda
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7
It is an open source initiative, Do Contributions
Clusterforecast
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7
Clustering-based Forecasting Method for Individual End-consumer Electricity Consumption Using Smart Grid Data
Cometr
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7
Comet SDK for R
Keras_tensorflow_demo
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7
Demonstration of using Keras to run a simple deep feed forward artificial neural network using Tensorflow as backbone in R
Banter
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7
banter is a package for creating hierarchical acoustic event classifiers out of multiple call type detectors.
Mercy
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7
Functions and code snippets to help save the time!
Reca
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7
Relevant Component Analysis for Supervised Distance Metric Learning
Dvc_r_ensemble
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7
Materials of a case study to build a DVC-based ML pipeline for an R project with ensemble prediction
Mef
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7
Datasets and source code for reproducing the paper 'Integrating multiple evidence sources to predict adverse drug reactions based on systems pharmacology model'.
Mlr3measures
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7
Performance measures used in mlr3
Rags2ridges
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7
Get ridge or die trying - 2 cents
Imubac
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7
Integration of multi-batch cytometry datasets
Code_machine_learning_algorithms
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7
Machine learning algorithms
Blingfire Rs
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7
Rust wrapper for the BlingFire tokenization library
H2o Parallel Grid Search Benchmark
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7
Parallel Grid Search benchmark - H2O Machine Learning
Av_ultimate_student_hunt
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7
Solution for the Ultimate Student Hunt Challenge (1st place).
Aws Ml Experimenter
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7
Framework for running ML models on Amazon EC2 and analyzing results with Shiny
Tmle3mopttx
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7
🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
Localice
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7
Local Individual Conditional Expectation (localICE) is a local explanation approach from the field of eXplainable Artificial Intelligence (XAI)
The Gap Statistic
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7
An implementation of the gap statistic, a method for estimating the number of clusters in a set of data.
Shinyr Knowledge Repo
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7
The shinyR curated knowledge sharing platform
Econ_data_science
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7
Econ5821@CUHK
R And Machine Learning
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7
several R scripts about Machine Learning that I code
Analyticsvidya_contests
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7
Repository holds all the contests and Hackathons from Analytics Vidya
Pyr4mds
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7
Companion code repository for the O'Reilly "Python and R for the Modern Data Scientist" book.
Ml Course
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7
Code related to supervised and unsupervised machine learning methods. In this project, there are examples in Python and R.
Dataquest
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7
This is a repository for storing and sharing data resulting from working on projects and materials in Dataquest
Nba Attendance Prediction
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7
Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.
Azure Machinelearning Custommoduledefinition App
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7
Shiny (R) web app for authoring custom modules in Azure ML.
Cameratrapdetector
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7
CameraTrapDetectoR: Detect, classify, and count animals in camera trap images
Programando Diversidades
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6
En este repositorio podrás encontrar todo el contenido desarrollado en el Módulo Programando Diversidades del Laboratorio de Género
Analytic Projects In Python Eda
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6
There are several exploratory data analysis (EDA) analyzes in this file. More data analytics and business approached than machine learning.
Deep
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6
R package for deep learning
Genda
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6
Multi-distributional Discriminant Analysis using Generalised Linear Latent Variable Modelling in R ⭐
I529
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6
Machine learning for Bioinformatics Lab module
Shiny App
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6
A shiny interface for ML models, data visualization etc.
Medshift
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6
📦 🎲 R/medshift: Causal Mediation Analysis for Stochastic Interventions
Applied Machine Learning
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6
Applied Machine Learning
Tidyflow
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6
A simplified and fresh workflow for doing machine learning with tidymodels
Uca Msc Dsai
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6
Resources for my Master's of Data Science and Artificial Intelligence at the University Côte d'Azur
Avdatafest Xtreme Ml Hack
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6
Sparklyr2pmml
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6
R library for converting Apache Spark ML pipelines to PMML
Circscan
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6
Toolkit for circRNA prediction by machine learning
Tobi
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6
TOBI predicts somatic variants from .vcf or .bam input
Datastar
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6
Data Star Program
Mlho
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6
Machine Learns Health Outcomes (MLHO)
Knowseq
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6
KnowSeq R package
Formulaic
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6
Dynamic Generation and Quality Checks of Formula Objects
Gasper
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6
Graph Signal Processing in R
Winterconfhemavan2019
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6
Material for my 'Bayesian Machine Learning' lectures at the Winter Conference in Statistics, Hemavan, Sweden, March 11-14, 2019.
Ml_for_hackers
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6
Machine Learning for Hackers
Machine_learning_manchesterr
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6
R scripts relating to talk on machine learning in R at Manchester R User Group
Breast Cancer Prediction
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6
Breast Cancer Prediction using fuzzy clustering and classification
Psistats
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6
Applying Deep Machine Learning for psycho-demographic profiling of Internet users using O.C.E.A.N. model of personality.
Startml
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6
R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.
Resources
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6
Resources
Forecasting Application For Inventory Management
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6
Data Science With R
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6
Data Science | Machine Learning | Data Analysis
Tmleworkshop
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6
Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.
Loggle
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6
An R Package for Estimating Time-Varying Graphical Models
Shapley
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6
Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
Epidemiology Tools
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5
A list of tools to assist with epidemiology research
Flame
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5
R package for matching algorithm in causal inference
Feedzai Openml R
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5
Implementations for Feedzai's OpenML APIs to allow for usage of machine learning models in the R programming language.
Unsupervisedensembles
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5
Unsupervised ensemble learning methods for time series forecasting. Bootstrap aggregating (bagging) for double-seasonal time series forecasting and its ensembles.
Machine Learning
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5
Basic ML concepts in Python and R
Machine Learning Course
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5
Machine Learning and Deep Learning Course
Uci_imbalanced_data
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5
The machine learning project on UCI imbalanced data.
Gips
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5
gips - Gaussian model Invariant by Permutation Symmetry
H2o Tutorial
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5
H2O Tuning and Ensembling Tutorial for R
User2020 Metaflow Tutorial
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5
Tutorial contents for useR! 2020 Metaflow workshop
Hptuning
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5
Machine Learning Hyper-parameter Tuning processes
Pharmacogxml
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5
Workshop for Machine Learning in pharmacogenomics
Quantum
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5
Data Science and Cryptography, at a quantum level
Distillml
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5
An R package providing functions for interpreting and distilling machine learning models
Jaspmachinelearning
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5
The Machine Learning Module
Structtoolbox
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5
R/Bioconductor package - STRUCT (STatistics in R Using Class Templates) Toolbox
Ml Kraken
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5
Machine-Learning orchestration framework. Cloud-based models management environment.
Spark_r_ml_examples
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5
Spark 2.0 R/SparkR Machine Learning examples
Supernova
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5
💫 🎯 Automatic identification of variable and interaction importance using basis functions and non-parametric estimation of interactions/effect modification using joint stochastic interventions.
Doublemlreplicationcode
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5
Replication of Simulations in Bach et al. (2020) - DoubleML - An Object-Oriented Implementation of Double Machine Learning in R, https://arxiv.org/abs/2103.09603
Tsforecasting Course
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5
Time Series Forecasting: Machine Learning and Deep Learning with R & Python
Forecasd
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5
Forecasting autism gene discovery with machine learning and genome-scale data
Shapflex
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5
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
Microsoft Big Data Scientist And Ai
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5
Microsoft Big Data, Data Scientist, and AI
Mlr3ordinal
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5
Ordinal Regression for mlr3
Dml.sensemakr
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5
Sensitivity analysis tools for causal ML
Slise
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5
Robust regression algorithm that can be used for explaining black box models (R implementation)
Networkcausaltree
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5
Package for heterogeneous treatment and spillover effects under network interference
Malware Classification
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5
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