Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali
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Updated
Nov 25, 2025 - Python
Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.
pretrained BERT model for cyber security text, learned CyberSecurity Knowledge
Simple State-of-the-Art BERT-Based Sentence Classification with Keras / TensorFlow 2. Built with HuggingFace's Transformers.
COVID-19 Question Dataset from the paper "What Are People Asking About COVID-19? A Question Classification Dataset"
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.
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
This is the code for loading the SenseBERT model, described in our paper from ACL 2020.
Recommendation engine framework based on Wikipedia data
Bilingual term extractor
Hierarchical-Attention-Network
Dilation Gate CNN For Machine Reading Comprehension
Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.
This project uses Support Vector Machine and BERT word embeddings to make sentiment prediction on messages from stockttwits, one of the biggest financial forum in the world.
A Robustly Optimized BERT Pretraining Approach for Vietnamese
A showcase of combining Elasticsearch with BERT on the HackerNews public data
Code and CoarseWSD-20 datasets for "Language Models and Word Sense Disambiguation: An Overview and Analysis"
PyTorch Implementation of VQA Baseline & Hierarchical Co-Attention model
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