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481 search results found
Ml For Beginners
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63,698
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Dash
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19,976
Data Apps & Dashboards for Python. No JavaScript Required.
Lightgbm
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15,941
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Catboost
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7,564
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Metaflow
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7,462
🚀 Build and manage real-life ML, AI, and data science projects with ease!
H2o 3
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6,618
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Awesome Quant
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3,302
中国的Quant相关资源索引
Awesome Machine Learning Interpretability
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3,241
A curated list of awesome responsible machine learning resources.
Ml Workspace
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3,197
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Awesome Conformal Prediction
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3,097
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Data Science Best Resources
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2,718
Carefully curated resource links for data science in one place
Forecasting
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2,540
Time Series Forecasting Best Practices & Examples
M2cgen
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2,411
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Aif360
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2,281
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Benchm Ml
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1,839
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Mlr
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1,609
Machine Learning in R
Datasciencer
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1,497
a curated list of R tutorials for Data Science, NLP and Machine Learning
H2o Tutorials
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1,403
Tutorials and training material for the H2O Machine Learning Platform
Sparklyr
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922
R interface for Apache Spark
Performance
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918
💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Mlr3
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847
mlr3: Machine Learning in R - next generation
Code
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802
Compilation of R and Python programming codes on the Data Professor YouTube channel.
R
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745
Collection of various algorithms implemented in R.
Mlpb
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697
Machine Learning Problem Bible | Problem Set Here >>
Timetk
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594
Time series analysis in the `tidyverse`
Data Science Your Way
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532
Ways of doing Data Science Engineering and Machine Learning in R and Python
Gpboost
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486
Combining tree-boosting with Gaussian process and mixed effects models
Modeltime
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483
Modeltime unlocks time series forecast models and machine learning in one framework
Recsim
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454
A Configurable Recommender Systems Simulation Platform
R_tips
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428
A repository of R usage tips for data cleaning, data mining, data visualisation, statistical inference and machine learning
H2o4gpu
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421
H2Oai GPU Edition
User Machine Learning Tutorial
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386
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
Tweetbotornot
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367
🤖 R package for detecting Twitter bots via machine learning
Mlnotes
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360
Very concise notes on machine learning and statistics.
Change Detection Review
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352
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
Statistic Learning R Note
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321
📒《统计学习方法-李航》学习笔记 200 页 PDF,各种手推公式细节讲解,包含详细的目录以及R语言代码实现,可结合《统计学习方法》提高学习效率,
Abess
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317
Fast Best-Subset Selection Library
Voice Gender
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290
Gender recognition by voice and speech analysis
Cosx.org
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257
统计之都主站
Healthcareai R
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234
R tools for healthcare machine learning
Mlr3book
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230
Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.
Gwu_data_mining
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228
Materials for GWU DNSC 6279 and DNSC 6290.
Lares
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227
R Library for Analytics and Machine Learning
Homlr
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220
Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.
Ml Capsule
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207
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
Phangorn
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196
Phylogenetic analysis in R
Laurae
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194
Advanced High Performance Data Science Toolbox for R by Laurae
Sharing_isl_python
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188
An Introduction to Statistical Learning with Applications in PYTHON
Data Science Toolkit
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185
Collection of stats, modeling, and data science tools in Python and R.
Vip
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184
Variable Importance Plots (VIPs)
Estadistica Con R
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178
Apuntes personales sobre estadística, machine learning y lenguaje de programación R
Ml Course
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168
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Covid 19_unified Dataset
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168
Unified COVID-19 Dataset
Datasciencevm
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161
Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
Data Scientist Books
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158
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)
Textfeatures
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143
👷♂️ A simple package for extracting useful features from character objects 👷♀️
Openai
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138
An R package-wrapper around OpenAI API
Rtemis
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132
Advanced Machine Learning and Visualization
Mlr3pipelines
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127
Dataflow Programming for Machine Learning in R
Atsaf
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120
Applied Time Series Analysis and Forecasting
Dl Keras Tf
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119
rstudio::conf(2020) deep learning workshop
Awesome Shiny Apps For Statistics
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119
🌟 A curated list of Awesome Shiny Apps for Statistics (ASAS)🌟
Applied Machine Learning
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117
A step-by-step guide to get started with Applied Machine Learning
Proc
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112
Display and analyze ROC curves in R and S+
Text
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112
Using Transformers from HuggingFace in R
Data Science Introduction With R
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109
R 语言数据科学导论 | Data Science Introduction with R
Intercessor
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105
A smart ware-house management system
Ggshaker
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104
An analysis and visualization R package that works with publicly available soccer data
Pragmaticai
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103
[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning
Mlr3proba
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103
Probabilistic Learning for mlr3
Ml Email Code
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102
This repository contains all code examples in Machine Learning for Email, by Drew Conway and John Myles White.
Sl3
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98
💪 🤔 Modern Super Learning with Machine Learning Pipelines
Kaggle Code
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95
A repository for some of the code I used in kaggle data science & machine learning tasks.
Rsdmx
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95
Tools for reading SDMX data and metadata in R
Tutorial
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94
Tutorials on machine learning, artificial intelligence, data science with math explanation and reusable code (in python and R)
Cast
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93
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
Kerasr
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93
R interface to the keras library
Finnts
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90
Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.
Openml R
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90
R package to interface with OpenML
Sbr Rs
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89
Deep recommender systems for Rust
Doubleml For R
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88
DoubleML - Double Machine Learning in R
Shinymlr
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88
shiny-mlr: Integration of the mlr package into shiny
Parbayesianoptimization
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88
Parallelizable Bayesian Optimization in R
Breakdown
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87
Model Agnostics breakDown plots
Autoplotly
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86
Automatic Generation of Interactive Visualizations for Statistical Results
Mlr3learners
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85
Recommended learners for mlr3
Rtorch.old
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79
PyTorch bindings for R
Survex
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79
Explainable Machine Learning in Survival Analysis
Pdp
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78
A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
Market_risk_gan_tensorflow
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77
Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.
Forecastml
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76
An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
Datamicroarray
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76
A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.
Lfda
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74
Local Fisher Discriminant Analysis in R
Ds Student Resources
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74
Data Science Student Companion Notebooks and Data Lake
Gsoc17 Hhmm
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73
Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.
Financial Astrology Stats
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73
We research the correlations between astrology planet cycles and price effect for multiples financial markets using statistics and machine learning techniques. Join the community discussions at Telegram:
Treeshap
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72
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
Autokeras
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71
Package: R Interface to AutoKeras
R4sl
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70
📈 Machine Learning from the perspective of a Statistician using R
Whitehat
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66
Information about my experiences in cybersecurity 💀
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