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Awesome List
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
GitHub stars and default-branch commits for keon/awesome-nlp.
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
💫 Industrial-strength Natural Language Processing (NLP) in Python
Label Studio is a multi-type data labeling and annotation tool with standardized output format
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Oxford Deep NLP 2017 course
An open-source NLP research library, built on PyTorch.
Large Language Model Text Generation Inference
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Vietnamese TTS with instant voice cloning • On-device • Real-time CPU inference • 48kHz audio quality • Chuyển văn bản thành giọng nói tiếng Việt • Text to speech tiếng Việt • TTS tiếng Việt
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
NLP made easy
Machine Learning University: Accelerated Natural Language Processing Class
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Basic Utilities for PyTorch Natural Language Processing (NLP)
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
Portuguese pre-trained BERT models
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
An NLP library for the Urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible.
Code and models for "The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models". EACL 2021, WANLP.
Thai Word Segmentation and Part-of-Speech Tagging with Deep Learning