Mapping-Multiple-LSTM-Models-on-FPGAs

Mapping-Multiple-LSTM-Models-on-FPGAs

ribesstefano

Includes the SVD-based approximation algorithms for compressing deep learning models and the FPGA accelerators exploiting such approximation mechanism, as described in the paper Mapping multiple LSTM models on FPGAs.

14 Stars
4 Forks
14 Watchers
Jupyter Notebook Language
gpl-3.0 License
Cost to Build
$43.5K
Market Value
$53.8K

Growth over time

2 data points  ·  2023-03-01 → 2025-04-01
Stars Forks Watchers
💬

How do you feel about this project?

Ask AI about Mapping-Multiple-LSTM-Models-on-FPGAs

Question copied to clipboard

What is the ribesstefano/Mapping-Multiple-LSTM-Models-on-FPGAs GitHub project? Description: "Includes the SVD-based approximation algorithms for compressing deep learning models and the FPGA accelerators exploiting such approximation mechanism, as described in the paper Mapping multiple LSTM models on FPGAs.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone Mapping-Multiple-LSTM-Models-on-FPGAs

Clone via HTTPS

git clone https://github.com/ribesstefano/Mapping-Multiple-LSTM-Models-on-FPGAs.git

Clone via SSH

[email protected]:ribesstefano/Mapping-Multiple-LSTM-Models-on-FPGAs.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the Mapping-Multiple-LSTM-Models-on-FPGAs issue tracker:

Open GitHub Issues