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 downloadstorch - 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 downloadskeras3 - 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 downloadstorchvision - 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 downloadstfruns - 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 downloadskeras - 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 downloadsluz - 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 downloadstfdatasets - 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 downloadstfautograph - 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 downloadstfprobability - 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 downloadscloudml - 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 downloadstfestimators - 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 downloadssafetensors - 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 downloadstfhub - 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 downloadstok - 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 downloadstorchdatasets - 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 downloadstfevents - 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 downloadscuda.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 downloadshfhub - 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 downloadsguildai - 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 downloadstorchvisionlib - 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 downloadslistarrays - 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 downloadswav - 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 downloadscommafree - 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
