How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
Models, data loaders and abstractions for language processing, powered by PyTorch
The main features of pytorch/text are: Deep Learning Ecosystems, Deep Learning Frameworks, Machine Learning Frameworks, Natural Language Processing.
Open-source alternatives to pytorch/text include: pytorch/audio — Data manipulation and transformation for audio signal processing, powered by PyTorch. bsautermeister/tensorlight — TensorLight - A high-level framework for TensorFlow. autonomio/talos — Hyperparameter Experiments with TensorFlow and Keras. catalyst-team/catalyst — Accelerated deep learning R&D. batzner/tensorlm — Wrapper library for text generation / language models at character and word level with RNNs in TensorFlow. cornellius-gp/gpytorch — GPyTorch is a GPU-accelerated probabilistic framework and PyTorch library for implementing scalable Gaussian process…
Data manipulation and transformation for audio signal processing, powered by PyTorch
Hyperparameter Experiments with TensorFlow and Keras
Wrapper library for text generation / language models at character and word level with RNNs in TensorFlow
TensorLight - A high-level framework for TensorFlow