Robust and fast topic models with sentence-transformers.
MIT License
No README available, please check again later.
This repository contains as intuitive example on topic-modeling using regular LDA, and how Guided...
Transformer-based Text Auto-encoder (T-TA) using TensorFlow 2.
Just Benchmarking Topic Models :)
Modular Python implementation of encoder-only, decoder-only and encoder-decoder transformer archi...
An implementation of local windowed attention for language modeling
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Implementation of TabTransformer, attention network for tabular data, in Pytorch
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
text2vec, text to vector. 文本向量表征工具,把文本转化为向量矩阵,实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似...
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
A different, but useful, textcat approach.
An implementation of masked language modeling for Pytorch, made as concise and simple as possible
fast sampling algorithm based on CGS
GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI思想)
Multilingual Sentence & Image Embeddings with BERT