Homework 3 for the machine learning class at Tsinghua University (fall term 23/24)
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Updated
Jan 6, 2024 - Python
Homework 3 for the machine learning class at Tsinghua University (fall term 23/24)
MedCPT generates embeddings of biomedical texts that can be used for semantic search (dense retrieval). MedCPT Article Encoder: compute the embeddings of articles (e.g., PubMed titles & abstracts). In this template, we will import the MedCPT Article Encoder on the Inferless Platform.
Large language models offer new opportunities for processing and generating text. I used text embeddings, clustering, and the ChatGPT API to examine the reasons for startup failure.
Abuse detection in online conversations with text and graph embeddings
This app allows users to search for products by either entering text or uploading an image, and retrieves relevant products from a database
A simple and scalable open-source solution to text embeddings ☄️📄
Retrieve text embeddings, but cache them locally if we have already computed them.
Uses NLP & LSTM to detect insincere Quora Questions
Learn about text similarity measures & text embedding methods.
DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.
A Python-based search engine for OpenAI's ChatGPT conversation history, enabling efficient semantic search and interactive engagement with archived chats using text embeddings
Text Embeddings Inference (TEI)'s unofficial python wrapper library for batch processing with asyncio
Graph Attention Networks for Entity Summarization is the model that applies deep learning on graphs and ensemble learning on entity summarization tasks.
M.Sc. mini project for NLP class (M908)
KRLawGPT : Generative Pre-trained Transformer for producing Korean Legal Text
Topic Embedding, Text Generation and Modeling using diffusion
Flask API for generating text embeddings using OpenAI or sentence_transformers
Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"
Interactive tree-maps with SBERT & Hierarchical Clustering (HAC)
Open Source Text Embedding Models with OpenAI Compatible API
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