How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Data manipulation and transformation for audio signal processing, powered by PyTorch
PyText is an extensible PyTorch-based framework for building, training, and deploying custom natural language processing models, including text classifiers, sequence taggers, and intent-slot predictors. It provides a modular toolkit that allows developers to assemble these models using pluggable registries for model architectures, data formats, and tensorizers, all configurable through YAML files without requiring code changes. The framework distinguishes itself through its comprehensive support for the full NLP model lifecycle, from training to production inference. It includes pre-built neu
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/
The main features of asyml/texar-pytorch are: Natural Language Processing, PyTorch Utilities.
Projects with overlapping indexed features include: pytorch/audio — Data manipulation and transformation for audio signal processing, powered by PyTorch. facebookresearch/pytext — PyText is an extensible PyTorch-based framework for building, training, and deploying custom natural language… 7compass/sentimental — Simple sentiment analysis with Ruby. aaronx121/ensemble-pytorch — A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model. abadojack/whatlanggo — Natural language detection library for Go. a2800276/porter — porter stemmer.
