GitHub / seif-007 / Quantum_Long_Short_Term_Memory
This repository features a Quantum Long Short-Term Memory (QLSTM) model for time-series forecasting using quantum circuits. It provides a custom QLSTMCell and supports real-time loss tracking, making it ideal for research and experimentation. 🛠️🌌
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/seif-007%2FQuantum_Long_Short_Term_Memory
PURL: pkg:github/seif-007/Quantum_Long_Short_Term_Memory
Stars: 1
Forks: 0
Open issues: 0
License: mit
Language: Python
Size: 11.7 KB
Dependencies parsed at: Pending
Created at: 2 months ago
Updated at: 6 days ago
Pushed at: 6 days ago
Last synced at: 6 days ago
Topics: deep-learning, deep-neural-networks, forecasting, long-short-term-memory, machie-learning, machine-learning, photovoltaic-power, quantum-ai, quantum-algorithms, quantum-artificial-intelligence, quantum-computing, quantum-machine-learning, research-project, sequential-models