anuvada
NLP Explanation Library
This is an open source PyTorch library providing tools and models to explain the predictions of deep neural networks for natural language processing tasks.
Interpretable Models for NLP using PyTorch
19 stars
2 watching
5 forks
Language: Python
last commit: almost 7 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 namisan/mt-dnn | A PyTorch package implementing multi-task deep neural networks for natural language understanding | 2,238 |
 delip/pytorchnlpbook | A comprehensive Python tutorial and codebase for building natural language processing applications with PyTorch. | 1,991 |
 anoopkunchukuttan/indic_nlp_library | A Python-based library providing common text processing and Natural Language Processing tools for Indian languages | 556 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,041 |
 eduardoleao052/js-pytorch | A JavaScript library that provides GPU-accelerated deep learning capabilities with automatic differentiation and neural network layers. | 1,084 |
 proycon/python-frog | A Python binding to a C++ NLP tool for Dutch language processing tasks | 47 |
 elbayadm/attn2d | A PyTorch implementation of 2D convolutional neural networks for sequence-to-sequence prediction in machine translation | 501 |
 alienrobotwizard/varaha | A set of Apache Pig scripts and UDFs for machine learning and natural language processing | 53 |
 graal-research/poutyne | A PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities | 569 |
 sinkingsugar/nimtorch | A Nim frontend for PyTorch, generating native ATen code for machine learning and artificial neural networks | 462 |
 rguthrie3/deeplearningfornlpinpytorch | A comprehensive tutorial on deep learning for natural language processing with PyTorch, covering the basics and advancing to linguistic structure prediction. | 1,940 |
 dayyass/dayyass | A collection of libraries and tools for natural language processing and reinforcement learning. | 39 |
 l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 244 |
 fgxaos/pytorch-innvestigate | PyTorch implementation of an explainability technique for deep neural networks | 9 |
 nearai/torchfold | A PyTorch module for dynamic batching and optimized computation on deep neural networks | 221 |