Embeddings
Lancern/asm2vec
An unofficial implementation of asm2vec as a standalone python package
π§ Natural Language Processing
Pythonno licenseupdated Jan 29, 2021
WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!
$ git clone https://github.com/dccuchile/wefe.gitAn unofficial implementation of asm2vec as a standalone python package
Topic Modelling for Humans
A very simple framework for state-of-the-art Natural Language Processing (NLP)
π‘ All-in-one AI framework for semantic search, LLM orchestration and language model workflows
ε€§θ§ζ¨‘δΈζθͺηΆθ―θ¨ε€ηθ―ζ Large Scale Chinese Corpus for NLP
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Data from GitHub Β· snapshot Sep 24, 2026