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neural-networks

Here are 78 public repositories matching this topic...

mkearney / textfeatures

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

machine-learning text-mining r neural-network word2vec feature-extraction neural-networks rstats mkearney-r-package

Updated Oct 12, 2020
R

estamos / Neural-Network-Design-Solutions-Manual

📑 Solution manual for the text book Neural Network Design 2nd Edition by Martin T. Hagan, Howard B. Demuth, Mark Hudson Beale, and Orlando De Jesus

neural-network neural-networks oklahoma-state-university neural-network-design neural-networks-design martin-hagan 2nd-edition 0-9717321-1-6 978-0-9717321-1-7

Updated Jul 15, 2025
R

f0nzie / rTorch.old

PyTorch bindings for R

python deep-learning neural-networks rstats machine-learning-library gpu-computing r-package

Updated Oct 23, 2021
R

mkearney / kaggler

🏁 API client for Kaggle

data machine-learning r api-client kaggle kaggle-competition api-wrapper neural-networks rstats r-package data-api mkearney-dataset mkearney-r-package kaggle-api

Updated Apr 19, 2021
R

EagerAI / tfaddons

R interface to TensorFlow 2.x SIG-Addons

r deep-learning tensorflow keras neural-networks tfa tensorflow-addons

Updated Sep 19, 2023
R

kasaai / simulationmachine

Individual claims history simulation machine

simulation neural-networks rstats reserving actuarial-science

Updated Sep 25, 2019
R

krzjoa / torchts

Time series with torch

r deep-neural-networks deep-learning time-series torch neural-networks forecasting time-series-forecasting

Updated Jun 18, 2022
R

blmayer / deep

R package for deep learning

machine-learning r neural-networks

Updated Sep 16, 2020
R

stat4reg / DNNcausal

An R-package to estimate average causal effects with AIPW using Deep Neural Networks, in particular Convolutional NN.

keras neural-networks causal-inference

Updated Sep 9, 2025
R

Techtonique / bcn

Boosted Configuration (Neural) Networks

machine-learning statistical-learning neural-networks

Updated Mar 10, 2025
R

agrawal-priyank / Machine-Learning-Models-For-Insurance-Loan-Applicants

Academic project for Advances in Data Science and Architecture course

machine-learning neural-network linear-regression transformations neural-networks loan-data naive-bayes-classification life-insurance classifier-model decision-tree-regression

Updated Jan 20, 2018
R

NicoHerrig95 / Quant_Risk_Models

Parts of code from my MSc. dissertation project. Uses yahoo API to load past stock data for training and backtesting various traditional and experimental models for VaR calculation. Written in R & Python.

finance tensorflow keras cnn neural-networks lstm-neural-networks value-at-risk

Updated Mar 5, 2024
R

csbg / pnet_robustness

Reliable interpretability of biology-inspired deep neural networks

deep-learning neural-networks network-analysis interpretability

Updated Oct 11, 2023
R

dabignotti / Projects

Personal repository for hobby and work projects

machine-learning r tensorflow keras statistical-analysis neural-networks regression-models vector-autoregression ad-hoc-analysis

Updated Sep 8, 2019
R

oshadhi-vanodhya / Business-Intelligence

Business Intelligence Course work - R Studio (Neural Networks, Deep Learning, Data Warehousing)

rstudio businessintelligence business-intelligence neural-networks datawarehousing deeplearning kmeans-clustering rlanguage

Updated Oct 6, 2019
R

fchamroukhi / MEteorits

Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS

clustering statistical-learning prediction artificial-intelligence statistical-inference neural-networks skew-t unsupervised-learning em-algorithm non-linear-regression t-distribution mixture-of-experts skewed-data robust-learning skew-normal

Updated Feb 13, 2020
R

customer-segmentation-usa

wajoel / customer-segmentation-usa

Advanced Customer Segmentation methods in R

encoding r neural-networks scaling data-preprocessing k-means support-vector-machines dbscan performance-evaluation random-forests feature-importance modular-programming hierachical-clustering silhouette-scores

Updated Feb 5, 2025
R

Andreaierardi / NYAirbnb-Machine-Learning

ML price prediction and cluster analysis on Kaggle competition NY Airbnb open data. Linear regression, Decision trees, Random Forest, Ranger RF, Neural Networks, K-mean, PCA, Hierarchical Clustering

machine-learning random-forest linear-regression university-project airbnb kaggle-competition neural-networks pca k-means decision-trees hierarchical-clustering rlanguage

Updated Aug 29, 2020
R

JSzitas / neuralfables

Neural networks (and other highly questionable approaches) for time series forecasting via fable

r fable neural-networks r-package time-series-forecasting non-parametric-regression

Updated Feb 25, 2022
R

fevieira27 / ImageRecognitionAI-R

R Script for AI Image and Location Recognition that can also generate an automated prompt for AI text-generation of a social media post.

machine-learning r ai deep-learning text-generation neural-networks image-classification image-recognition convolutional-neural-networks gpt image-analysis keras-tensorflow cloudvision cloud-vision-api multimodal-deep-learning maps-api generative-ai

Updated Jan 8, 2025
R

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