MatchZoo is a deep learning framework designed for building, training, and evaluating neural networks that determine the relevance and similarity between pairs of textual inputs. It serves as a research platform for neural information retrieval, specifically supporting the development of models for document retrieval, question answering, and ranking tasks. The framework utilizes declarative architecture composition to define complex neural network structures. It includes automated hyper-parameter resolution to populate missing configuration parameters before model compilation and uses callbac
This project is a knowledge base plugin and RAG context manager that uses a local vector database interface to enable semantic search and relationship mapping. It transforms text into numerical vectors to find semantically related notes and excerpts based on conceptual meaning rather than keyword matches. The system differentiates itself through a semantic graph visualizer that maps notes into clusters to reveal conceptual connections. It also features a context manager capable of bundling local notes and excerpts into reusable packs to provide grounded factual bases for large language model
In this project, we implemented various normalizing flows in Tensorflow 2.0 and tested them on different datasets. Currently implemented flows are:
Code for Paper Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval. ACL2022 Main Conference, Long Paper. DCSR aims to elliminate the occurence of Contrastive Conflicts, in order to provide a more general dense retriever model for pratical use.
This is a TensorFlow implementation of the following paper:
The main features of bohanli/bert-flow are: Semantic Text Matching, TensorFlow Repositories.
Open-source alternatives to bohanli/bert-flow include: ntmc-community/matchzoo — MatchZoo is a deep learning framework designed for building, training, and evaluating neural networks that determine… brianpetro/obsidian-smart-connections — This project is a knowledge base plugin and RAG context manager that uses a local vector database interface to enable… lukasrinder/normalizing-flows — In this project, we implemented various normalizing flows in Tensorflow 2.0 and tested them on different datasets.… pierresegonne/vinf — This repository provides a hands-on tensorflow implementation of Normalizing Flows as presented in the paper… princeton-nlp/simcse — This repository contains the code and pre-trained models for our paper SimCSE: Simple Contrastive Learning of Sentence… quareia/lta — This repository is the official implementation of "Learn to Adapt for Generalized Zero-Shot Text Classification" (ACL…