Open source annotation tool for machine learning practitioners.
- natural-language-processing
- machine-learning
- annotation-tool
- python
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Open source annotation tool for machine learning practitioners.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Accelerated deep learning R&D
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
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Pretrained model hub for Keras 3.
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
Ming-3.0-tts is an open-source TTS model family with 0.5B dense and 7.9B-A1.3B MoE variants, supporting multilingual speech, voice cloning, voice design, and natural-language control.
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
:hospital: Medical Text Mining and Information Extraction with spaCy
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
Statistical NLG for spoken dialogue systems
Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into natural language text
German language support for TextBlob.
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.
The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
Detect the sentiment captured in short pieces of text
Natural language generation language