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.
Last updated 14 days ago
autograddeep-learningtorch
489 stars 15.92 score 16 dependencies 32 dependentsluz - 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) <arXiv:2002.04688>, 'Keras' by Chollet et al. (2015) and 'PyTorch Lightning' by Falcon et al. (2019) <doi:10.5281/zenodo.3828935>.
Last updated 18 days ago
79 stars 9.31 score 28 dependencies 1 dependentstorchvision - 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 it's 'API' borrows heavily from 'PyTorch' vision package.
Last updated 18 days ago
62 stars 9.18 score 22 dependencies 4 dependentssafetensors - 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.
Last updated 18 days ago
7 stars 6.01 score 4 dependencies 33 dependentstok - 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.
Last updated 3 days ago
40 stars 5.62 score 2 dependencies 1 dependentscuda.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>).
Last updated 3 years ago
gpumachine-learning
32 stars 5.26 score 43 dependenciestorchdatasets - 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.
Last updated 4 months ago
14 stars 4.86 score 46 dependenciestfevents - 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.
Last updated 3 months ago
10 stars 4.65 score 12 dependenciespixels - Tools for Working with Image Pixels
Provides tools to show and draw image pixels using 'HTML' widgets and 'Shiny' applications. It can be used to visualize the 'MNIST' dataset for handwritten digit recognition or to create new image recognition datasets.
Last updated 4 years ago
31 stars 4.27 score 39 dependenciesrslp - A Stemming Algorithm for the Portuguese Language
Implements the "Stemming Algorithm for the Portuguese Language" <DOI:10.1109/SPIRE.2001.10024>.
Last updated 4 years ago
21 stars 4.10 score 12 dependencieshfhub - 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.
Last updated 18 days ago
11 stars 3.74 score 17 dependenciestorchvisionlib - Additional Operators for Image Models
Implements additional operators for computer vision models, including operators necessary for image segmentation and object detection deep learning models.
Last updated 8 months ago
8 stars 3.72 score 17 dependenciesptwikiwords - Words Used in Portuguese Wikipedia
Contains a dataset of words used in 15.000 randomly extracted pages from the Portuguese Wikipedia (<https://pt.wikipedia.org/>).
Last updated 8 years ago
4 stars 3.30 score 0 dependencieswav - 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.
Last updated 2 years ago
audiowav
1 stars 2.70 score 1 dependenciesmadgrad - 'MADGRAD' Method for Stochastic Optimization
A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization algorithm. MADGRAD is a 'best-of-both-worlds' optimizer with the generalization performance of stochastic gradient descent and at least as fast convergence as that of Adam, often faster. A drop-in optim_madgrad() implementation is provided based on Defazio et al (2020) <arxiv:2101.11075>.
Last updated 3 years ago
1.70 score 18 dependencies