A library for easily merging multiple LLM experts, and efficiently train the merged LLM.
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Updated
Jun 2, 2024 - Python
A library for easily merging multiple LLM experts, and efficiently train the merged LLM.
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.
Skytable is a modern scalable NoSQL database with BlueQL, designed for performance, scalability and flexibility. Skytable gives you spaces, models, data types, complex collections and more to build powerful experiences
🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
In this project, we will perform 12-lead ECG Multi-label Classification. Specifically, we will design a multi-model utilizing the characteristics of diagnoses from the Shaoxing and Ningbo databases.
Toward Multi Modality Language Model - implementation of GPT-4o/Project Astra
A blazing fast ACID compliant NoSQL DataLake with support for storing 17 formats of data. Full SQL and DML capabilities along with Java stored procedures for advanced data processing.
Searchable dependency for Laravel Enso
This tool processes images and generates textual descriptions using advanced machine learning models
⚠ DEPRECATED! Source code of the legacy ArangoDB online documentation. See arangodb/docs-hugo
A set of Node-RED nodes for interfacing with Couchbase services.
This hands-on provides a guide to SageMaker MME(Multi-Model-Endpoint) on GPU.
Graduation Project (2023)
Using LSTMs to automatically grade essays.
An implementation of MMQL, a multi-model query language I created.
MMSSL: Multi-Modal Self-Supervised Learning for Recommendation in WWW' 2023
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
This repository contains my research internship code at the University of Illinois Chicago under the supervision of Prof. Pedram Rooshenas.
A simple graph data manager, in other words: on the fly schemaless multi-model data client with timeseries wannabes
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