Stars
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
The official code of LM-Debugger, an interactive tool for inspection and intervention in transformer-based language models.
[NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…
Course materials for Dartmouth course: Human Memory (PSYC 51.09)
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
Implementation of Marge, Pre-training via Paraphrasing, in Pytorch
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
Fuzzy string matching, grouping, and evaluation.
⚫ A spaCy pipeline and model for NLP on unstructured legal text.
甲言，专注于古代汉语(古汉语/古文/文言文/文言)处理的NLP工具包，支持文言词库构建、分词、词性标注、断句和标点。Jiayan, the 1st NLP toolkit designed for Classical Chinese, supports lexicon construction, tokenizing, POS tagging, sentence segmentation a…
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter …
Library for Knowledge Intensive Language Tasks
Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
A relation-aware semantic parsing model from English to SQL
Top2Vec learns jointly embedded topic, document and word vectors.
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
Python library for building highly effective data science workflows
Pytorch library for fast transformer implementations
A very simple framework for state-of-the-art Natural Language Processing (NLP)
A set of methods for finding an appropriate number of topics in a text collection
Text preprocessing, representation and visualization from zero to hero.
Google search from Python (unofficial).