reticulate - Interface to 'Python'

Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.

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cpp

20.97 score 1.8k stars 543 dependents 23k scripts 184k downloads

torch - Tensors and Neural Networks with 'GPU' Acceleration

Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <doi:10.48550/arXiv.1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.

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autograddeep-learningtorchcpp

16.30 score 565 stars 51 dependents 2.8k scripts 17k downloads

tensorflow - R Interface to 'TensorFlow'

Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

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14.76 score 1.3k stars 75 dependents 4.1k scripts 25k downloads

keras3 - R Interface to 'Keras'

Interface to 'Keras' <https://keras.io>, a high-level neural networks API. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both CPU and GPU devices.

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14.72 score 855 stars 6 dependents 1.0k scripts 11k downloads

torchvision - Models, Datasets and Transformations for Images

Provides access to datasets, models and preprocessing facilities for deep learning with images. Integrates seamlessly with the 'torch' package and its API borrows heavily from the 'PyTorch' vision package.

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12.61 score 76 stars 3 dependents 380 scripts 6.8k downloads

tfruns - Training Run Tools for 'TensorFlow'

Create and manage unique directories for each 'TensorFlow' training run. Provides a unique, time stamped directory for each run along with functions to retrieve the directory of the latest run or latest several runs.

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11.87 score 34 stars 77 dependents 320 scripts 20k downloads

keras - R Interface to 'Keras'

Interface to 'Keras' <https://keras.io>, a high-level neural networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.

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10.90 score 1 stars 53 dependents 11k scripts 20k downloads

ragnar - Retrieval-Augmented Generation (RAG) Workflows

Provides tools for implementing Retrieval-Augmented Generation (RAG) workflows with Large Language Models (LLM). Includes functions for document processing, text chunking, embedding generation, storage management, and content retrieval. Supports various document types and embedding providers ('Ollama', 'OpenAI'), with 'DuckDB' as the default storage backend. Integrates with the 'ellmer' package to equip chat objects with retrieval capabilities. Designed to offer both sensible defaults and customization options with transparent access to intermediate outputs. For a review of retrieval-augmented generation methods, see Gao et al. (2023) "Retrieval-Augmented Generation for Large Language Models: A Survey" <doi:10.48550/arXiv.2312.10997>.

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10.60 score 177 stars 2 dependents 149 scripts 1.5k downloads

luz - Higher Level 'API' for 'torch'

A high level interface for 'torch' providing utilities to reduce the the amount of code needed for common tasks, abstract away torch details and make the same code work on both the 'CPU' and 'GPU'. It's flexible enough to support expressing a large range of models. It's heavily inspired by 'fastai' by Howard et al. (2020) <doi:10.48550/arXiv.2002.04688>, 'Keras' by Chollet et al. (2015) and 'PyTorch Lightning' by Falcon et al. (2019) <doi:10.5281/zenodo.3828935>.

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10.49 score 100 stars 3 dependents 391 scripts 3.9k downloads

tfdatasets - Interface to 'TensorFlow' Datasets

Interface to 'TensorFlow' Datasets, a high-level library for building complex input pipelines from simple, re-usable pieces. See <https://www.tensorflow.org/guide> for additional details.

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9.89 score 33 stars 3 dependents 880 scripts 5.9k downloads

tfautograph - Autograph R for 'Tensorflow'

Translate R control flow expressions into 'Tensorflow' graphs.

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autographtensorflow

8.81 score 18 stars 77 dependents 179 scripts 18k downloads

tfprobability - Interface to 'TensorFlow Probability'

Interface to 'TensorFlow Probability', a 'Python' library built on 'TensorFlow' that makes it easy to combine probabilistic models and deep learning on modern hardware ('TPU', 'GPU'). 'TensorFlow Probability' includes a wide selection of probability distributions and bijectors, probabilistic layers, variational inference, Markov chain Monte Carlo, and optimizers such as Nelder-Mead, BFGS, and SGLD.

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8.71 score 57 stars 2 dependents 373 scripts 483 downloads

cloudml - Interface to the Google Cloud Machine Learning Platform

Interface to the Google Cloud Machine Learning Platform <https://cloud.google.com/vertex-ai>, which provides cloud tools for training machine learning models.

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cloudmlgpcgpukerastensorflow

8.63 score 65 stars 147 scripts 707 downloads

tfestimators - Interface to 'TensorFlow' Estimators

Interface to 'TensorFlow' Estimators <https://www.tensorflow.org/guide/estimator>, a high-level API that provides implementations of many different model types including linear models and deep neural networks.

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8.41 score 58 stars 166 scripts 904 downloads

safetensors - Safetensors File Format

A file format for storing tensors that is secure (doesn't allow for code execution), fast and simple to implement. 'safetensors' also enables cross language and cross frameworks compatibility making it an ideal format for storing machine learning model weights.

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8.23 score 11 stars 53 dependents 20 scripts 16k downloads

tfhub - Interface to 'TensorFlow' Hub

'TensorFlow' Hub is a library for the publication, discovery, and consumption of reusable parts of machine learning models. A module is a self-contained piece of a 'TensorFlow' graph, along with its weights and assets, that can be reused across different tasks in a process known as transfer learning. Transfer learning train a model with a smaller dataset, improve generalization, and speed up training.

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7.54 score 29 stars 1 dependents 89 scripts 294 downloads

yaml12 - Fast 'YAML' 1.2 Parser and Formatter

A fast, correct, safe, and ergonomic 'YAML' 1.2 parser and generator written in 'Rust'. Convert between 'YAML' and simple 'R' objects with full support for multi-document streams, tags, anchors, and aliases. Offers opt-in handlers for custom tag behavior and round-trips common 'R' data structures. Implements the 'YAML' 1.2.2 specification from the 'YAML' Language Development Team (2021) <https://yaml.org/spec/1.2.2/>. Proudly supported by Posit.

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rustcargo

7.19 score 19 stars 3 dependents 13 scripts 933 downloads

tok - Fast Text Tokenization

Interfaces with the 'Hugging Face' tokenizers library to provide implementations of today's most used tokenizers such as the 'Byte-Pair Encoding' algorithm <https://huggingface.co/docs/tokenizers/index>. It's extremely fast for both training new vocabularies and tokenizing texts.

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rustcargo

7.07 score 47 stars 1 dependents 15 scripts 11k downloads

quickr - Compiler for R

Compile R functions annotated with type and shape declarations for extremely fast performance and robust runtime type checking. Supports both just-in-time (JIT) and ahead-of-time (AOT) compilation. Compilation is performed by lowering R code to Fortran.

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6.79 score 179 stars 5 scripts 666 downloads

torchdatasets - Ready to Use Extra Datasets for Torch

Provides datasets in a format that can be easily consumed by torch 'dataloaders'. Handles data downloading from multiple sources, caching and pre-processing so users can focus only on their model implementations.

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5.50 score 17 stars 123 scripts 803 downloads

tfevents - Write Events for 'TensorBoard'

Provides a convenient way to log scalars, images, audio, and histograms in the 'tfevent' record file format. Logged data can be visualized on the fly using 'TensorBoard', a web based tool that focuses on visualizing the training progress of machine learning models.

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protobufcpp

5.40 score 13 stars 11 scripts 4.4k downloads

Rapp - Easily Build Command Line Applications

Run simple 'R' scripts as command line applications, with automatic robust and convenient support for command line arguments. This package provides 'Rapp', an alternative 'R' front-end similar to 'Rscript', that enables this.

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5.31 score 137 stars 5 scripts 432 downloads

cuda.ml - R Interface for the RAPIDS cuML Suite of Libraries

R interface for RAPIDS cuML (<https://github.com/rapidsai/cuml>), a suite of GPU-accelerated machine learning libraries powered by CUDA (<https://en.wikipedia.org/wiki/CUDA>).

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gpumachine-learningcpp

5.05 score 38 stars 59 scripts 215 downloads

hfhub - Hugging Face Hub Interface

Provides functionality to download and cache files from 'Hugging Face Hub' <https://huggingface.co/models>. Uses the same caching structure so files can be shared between different client libraries.

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5.01 score 19 stars 1 dependents 12 scripts 656 downloads

guildai - Track Machine Learning Experiments

'Guild AI' is an open-source tool for managing machine learning experiments. It's for scientists, engineers, and researchers who want to run scripts, compare results, measure progress, and automate machine learning workflows. 'Guild AI' is a light weight, external tool that runs locally. It works with any framework, doesn't require any changes to your code, or access to any web services. Users can easily record experiment metadata, track model changes, manage experiment artifacts, tune hyperparameters, and share results. 'Guild AI' combines features from 'Git', 'SQLite', and 'Make' to provide a lab notebook for machine learning.

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deep-learningkerasmachine-learning

4.74 score 19 stars 29 scripts 198 downloads

torchvisionlib - Additional Operators for Image Models

Implements additional operators for computer vision models, including operators necessary for image segmentation and object detection deep learning models.

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cpp

4.74 score 9 stars 21 scripts 2.9k downloads

listarrays - A Toolbox for Working with R Arrays in a Functional Programming Style

A toolbox for R arrays. Flexibly split, bind, reshape, modify, subset and name arrays.

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4.39 score 16 stars 31 scripts 629 downloads

envir - Manage R Environments Better

Provides a small set of functions for managing R environments, with defaults designed to encourage usage patterns that scale well to larger code bases. It provides: import_from(), a flexible way to assign bindings that defaults to the current environment; include(), a vectorized alternative to base::source() that also default to the current environment; and attach_eval() and attach_source(), a way to evaluate expressions in attached environments. Together, these (and other) functions pair to provide a robust alternative to base::library() and base::source().

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4.32 score 16 stars 26 scripts 780 downloads

wav - Read and Write WAV Files

Efficiently read and write Waveform (WAV) audio files <https://en.wikipedia.org/wiki/WAV>. Support for unsigned 8 bit Pulse-code modulation (PCM), signed 12, 16, 24 and 32 bit PCM and other encodings.

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audiowavcpp

3.93 score 2 stars 6 scripts 4.2k downloads

yasp - String Functions for Compact R Code

A collection of string functions designed for writing compact and expressive R code. 'yasp' (Yet Another String Package) is simple, fast, dependency-free, and written in pure R. The package provides: a coherent set of abbreviations for paste() from package 'base' with a variety of defaults, such as p() for "paste" and pcc() for "paste and collapse with commas"; wrap(), bracket(), and others for wrapping a string in flanking characters; unwrap() for removing pairs of characters (at any position in a string); and sentence() for cleaning whitespace around punctuation and capitalization appropriate for prose sentences.

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3.60 score 8 stars 4 scripts 122 downloads

commafree - Call Functions Without Commas Between Arguments

Provides the "comma-free call" operator: '%(%'. Use it to call a function without commas between the arguments. Just replace the '(' with '%(%' in a function call, supply your arguments as standard R expressions enclosed by '{ }', and be free of commas (for that call).

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3.40 score 5 stars 3 scripts 635 downloads