natural-language-understanding

TensorFlow code and pre-trained models for BERT

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Natural Language Processing Best Practices & Examples

An Open-Source Framework for Prompt-Learning.

🤗 AutoTrain Advanced

NLP made easy

Multi-Task Deep Neural Networks for Natural Language Understanding

SLING - A natural language frame semantics parser

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

This Word Does Not Exist

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.

Label data using HuggingFace's transformers and automatically get a prediction service

Interpret text data with LLMs (sklearn compatible).

Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper

Learn Generative AI with PyTorch (Manning Publications, 2024)

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.

Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU