Machine Learning Project 2017 Fall @ NTU

Create a knowledge graph from a text file with LLMs, running with Streamlit. Or chat directly with the LLM.

Helpful papers on embedding-based retrieval (EBR)

A large-scale benchmark for proactive retrieval in conversations

A hybrid search engine based on the BM25 and VSM retrieval models.

An Open Source Machine Learning Framework for Everyone

RVC Inference with support of JSON Model Downloader

An Information Retrieval system for searching research publications, papers or articles using Apache Solr

Various Indexing and Query Based Retrieval Models and Page-rank Algorithm in Python 3.0

Retrieval of plant traits from hyper- and multispectral remote sensing data with SCOPE model inversion

Implementation of a Vector Space Retrieval Model using TF-IDF and cosine similarity on the Cranfield document corpus

Mapping vegetation properties in Google Earth Engine using GPR models and the Sentinel-2 L1C product.

Code and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021

Advanced RVC Inference for quicker and effortless model downloads

RVC Inference with multiple model and huggingface support

Word Embeddings for Information Retrieval

Grounded search engine (i.e. with source reference) based on LLM / ChatGPT / OpenAI API. It supports web search, file content search etc.

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

Easily train a good VC model with voice data <= 10 mins!