A large-scale benchmark for proactive retrieval in conversations
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Updated
May 15, 2024 - Python
A large-scale benchmark for proactive retrieval in conversations
Machine Learning Project 2017 Fall @ NTU
An Information Retrieval system for searching research publications, papers or articles using Apache Solr
A hybrid search engine based on the BM25 and VSM retrieval models.
RVC Inference with support of JSON Model Downloader
An Open Source Machine Learning Framework for Everyone
Helpful papers on embedding-based retrieval (EBR)
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.
Advanced RVC Inference for quicker and effortless model downloads
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
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!
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