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105 search results found

H2o 3 ⭐ 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.

Rspapers ⭐ 5,701

A Curated List of Must-read Papers on Recommender System.

Ml Workspace ⭐ 3,197

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Awesome Conformal Prediction ⭐ 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 ⭐ 2,718

Carefully curated resource links for data science in one place

Forecasting ⭐ 2,540

Time Series Forecasting Best Practices & Examples

Aif360 ⭐ 2,293

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 ⭐ 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.).

H2o Tutorials ⭐ 1,403

Tutorials and training material for the H2O Machine Learning Platform

Texture Vs Shape ⭐ 728

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

Modeltime ⭐ 483

Modeltime unlocks time series forecast models and machine learning in one framework

R Interface to Torch

User Machine Learning Tutorial ⭐ 386

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

Change Detection Review ⭐ 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.

Reactionrnn ⭐ 298

Python module + R package to predict the reactions to a given text using a pretrained recurrent neural network.

Ml Capsule ⭐ 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.

Advanced High Performance Data Science Toolbox for R by Laurae

Datasciencevm ⭐ 161

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

Data Scientist Books ⭐ 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.)

Dl Keras Tf ⭐ 119

rstudio::conf(2020) deep learning workshop

Using Transformers from HuggingFace in R

Data Science Introduction With R ⭐ 109

R 语言数据科学导论 | Data Science Introduction with R

Generalisation Humans Dnns ⭐ 95

Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)

Tutorial ⭐ 94

Tutorials on machine learning, artificial intelligence, data science with math explanation and reusable code (in python and R)

Manjaro Linux ⭐ 91

Shell scripts for setting up Manjaro Linux for Python programming and deep learning

Deep recommender systems for Rust

Rtorch.old ⭐ 79

PyTorch bindings for R

Market_risk_gan_tensorflow ⭐ 77

Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.

Forecastml ⭐ 76

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

Autokeras ⭐ 71

Package: R Interface to AutoKeras

Create deep architectures in the R programming language

Visualise and Explore Deep Dependencies of R packages

PyTorch bindings for R

Meetups Archivos ⭐ 62

Ppts, códigos y videos de las meetups, data science days, videollamadas y workshops. Data Science Research es una organización sin fines de lucro que busca difundir, descentralizar y difundir los conocimientos en Ciencia de Datos e Inteligencia Artificial en el Perú, dando oportunidades a nuevos talentos mediante MeetUps, Workshops y Semilleros de Conocimiento e Investigación.

Machine_learning ⭐ 62

Tutorials/tips on machine learning related topics

Antsrnet ⭐ 60

Medical image analysis framework merging ANTsR and deep learning

Mlstudio ⭐ 58

The ML Studio Package

Scalable joint species distribution modeling

Ai Platform ⭐ 51

An open-source platform for automating tasks using machine learning models

Datascience365 ⭐ 47

An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.

R Interface to Open Neural Network Exchange (ONNX)

Modeltime.h2o ⭐ 38

Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.

Data Science And Machine Learning Resources ⭐ 37

List of Data Science and Machine Learning Resource that I frequently use

Modeltime.gluonts ⭐ 37

GluonTS Deep Learning with Modeltime

Unsupervised Deep Architechtures in R

Deep Learning Recipes ⭐ 34

R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow)

DeepGS is a R package for predicting phenotypes from genotypes using deep learning techniques.

R package for missing-data imputation with deep learning

Mlr3keras ⭐ 28

Deep learning for mlr3

Sldm4 H2o ⭐ 27

Statistical Learning & Data Mining IV - H2O Presenation & Tutorial

Omicselector ⭐ 26

OmicSelector - Environment, docker-based application and R package for biomarker signiture selection (feature selection) & deep learning diagnostic tool development from high-throughput high-throughput omics experiments and other multidimensional datasets. Initially developed for miRNA-seq, RNA-seq and qPCR.

R Deep Learning Cookbook ⭐ 26

R Deep Learning Cookbook, published by Packt

Container_detection ⭐ 25

Computer vision Object Detection Program to detect and count specific objects (shipping containers) from images and/or videos

Torchopt ⭐ 25

R implementation of advanced optimizers for torch

Deep Learning In R Using Keras And Tensorflow ⭐ 24

Implementing Deep learning in R using Keras and Tensorflow packages for R and implementing a Multi layer perceptron Model on MNIST dataset and doing Digit Recognition

DeepG, or 'Deep Genomics', is a R library which allows to train and apply deep neural networks on genomic datasets

Torchaudio ⭐ 24

R interface to torchaudio

Скрипты к статье

Train neural networks based on geographic species occurrences, environmental data and existing IUCN Red List assessments to predict the conservation status of "Not Evaluated" species, for any taxon or geographic region of interest. https://iucnn.github.io/IUCNN/

DeepLearning using Keras with R

Digital_champions_deeplearning_r_mxnet ⭐ 22

Showcase for using R + MXNET along with AWS and bitfusion for deep learning.

Intro To Deep Learning Using R ⭐ 21

Source code for 'Introduction to Deep Learning Using R' by Taweh Beysolow II

Notes for using R language to do data mining and machine learning (Chinese)

Deep Reinforcement Learning in R (Deep Q Learning, Policy Gradient, Actor-Critic Method, etc)

Algo Trading ⭐ 21

This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!

Guildai R ⭐ 19

Track machine learning experiments

Aibootcamp 2019 ⭐ 18

AI bootcamp 2019 materials.

Deep Learning with Metaheuristic

R Deep Learning Projects ⭐ 18

R Deep Learning Projects, published by Packt

Tfaddons ⭐ 18

R interface to TensorFlow 2.x SIG-Addons

Hands On Deep Learning With R ⭐ 17

Code repository for Hands on Deep Learning with R, Published By Packt

Weakly supervised Deep learning based Cloud Detection (WDCD)

DeepCC: a novel deep learning-based framework for cancer molecular subtype classification

Data Science ⭐ 17

Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.

Data Science Beginners Guide ⭐ 17

📊A Beginner's Guide To Data Science. 📈 📉Start your self-learning journey into the world of data right now.

Awesome Rust Zh Cn ⭐ 16

Rust棒棒哒！资源大全中文版。

Deeplearning ⭐ 15

R package for deep learning

Cosmopolitics ⭐ 15

Eurostat Big Data Hackathon 2021

Misteli Lab Ccr Nci ⭐ 15

Collection of statistical scripts, image analysis workflows, data used in publications by the Misteli Lab.

A GPT code for R

Mlr3torch ⭐ 14

Deep learning framework for the mlr3 ecosystem based on torch

Financial_data_analysis ⭐ 13

Sample Codes for the Medium Publication "Financial Data Analysis"

Rtensorflow ⭐ 13

GSoC '17 - R language bindings for TensorFlow

Retrieval 2016 Remote ⭐ 13

Multi-Label Remote Sensing Image Retrieval By Using Deep Features

Rnn Lstm Timeseries_forecasting ⭐ 12

Time Series Forecasting using Recurrent Neural Network - LSTM model using Keras Library for deep learning.

Satellite Images Classification With Keras R ⭐ 12

Deep Neural Network with keras-R (TensorFlow GUP backend): Satellite-Image Classification

Crypton X ⭐ 12

Cryptocurrency market cap-price prediction and visualization web app

Time series with torch

Iexcloudr ⭐ 11

iexcloud api wrapper

Prometheus ⭐ 11

Deep Learning Library for R

3d_deeplearning_for_hyperspectral_images ⭐ 11

Models used for our paper submission

Keras_and_shiny ⭐ 11

A showcase based on the tutorial presented at ML@Enterprise Forum 2018 in Warsaw.

Terrytangyuan.github.com ⭐ 11

Animl comprises a variety of machine learning tools for analyzing ecological data. The package includes a set of functions to classify subjects within camera trap field data and can handle both images and videos.

Dqn In R ⭐ 10

Simple Deep Q Network in R

Image Classifiaction Using Cnn And Keras In R ⭐ 10

An Image Recognition Project made in R using Keras and Tensorflow which classifies a set of images amongst 10 classes

Deepvars ⭐ 10

Vector Autoregression augmented with deep learning.

Deeppatientlevelprediction ⭐ 10

An R package for performing patient level prediction using deep learning in an observational database in the OMOP Common Data Model.

Mdeeplearn ⭐ 10

📚 🍑 Machine Learning and Deep Learning with examples.

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