Build and train state-of-the-art natural language processing models using BERT
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Updated
May 20, 2021 - Jupyter Notebook
Build and train state-of-the-art natural language processing models using BERT
FAQ-based Question Answering System using BERT
Sentence Embeddings using Siamese SKT KoBERT-Networks
Sentence Embeddings using Siamese ETRI KoBERT-Networks
Teaching robots to respond to open-vocab queries with CLIP and NeRF-like neural fields
Rust port of sentence-transformers (https://github.com/UKPLab/sentence-transformers)
文本相似度,语义向量,文本向量,text-similarity,similarity, sentence-similarity,BERT,SimCSE,BERT-Whitening,Sentence-BERT, PromCSE, SBERT
Sentence transformers models for SpaCy
This repository shows how to efficiently process variable-length sequences in TensorFlow.
Semantic Search with streamlit user interface
Face Generation from Textual Description using GANs.
Implementations of many derivative bert models. like BertSum, DCBERT, SentenceBERT etc.
A demo that shows how to build a semantic search experience with Typesense's vector search feature and Instantsearch.js
📃Train text similarity model based on Sentence-BERT | 基于Sentence-BERT训练自己的文本相似度模型
Slides for "Retrieval Augmented Generation" video
Wine Recommender created with sentence-BERT and NearestNeighbor on AWS SageMaker
Music visualizer using audio and semantic analysis to explore BigGAN latent space.
Sentence Bert for Question-Answering on COVID-19 Open Research Dataset (CORD-19)
A Keras-based and TensorFlow-backend NLP Models Toolkit.
Code and data for the AAAI 2022 paper "Hybrid Autoregressive Inference for Scalable Multi-hop Explanation Regeneration"
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