LCA-PyTorch
LCA-PyTorch is a code repository which contains PyTorch implementations of the Locally Competitive Algorithm (LCA), which is a biologically-plausible sparse coding model. LCA-PyTorch allows for the training, testing, and analysis of single layer LCA networks, multi-layer LCA networks, and hybrid LCA-based deep neural network models on a wide variety of applications and data types. LCA-PyTorch was developed in Python, a high-level programming language that takes advantage of the Python ecosystem of high-quality open-source packages for machine learning. LCA-PyTorch interfaces heavily with the open-source PyTorch Python package.
- Site Accession Number:
- C23064
- Software Type:
- Scientific
- License(s):
- BSD 3-clause "New" or "Revised" License
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- LDRDPrimary Award/Contract Number:AC52-06NA25396
- DOE Contract Number:
- AC52-06NA25396
- Code ID:
- 110613
- OSTI ID:
- code-110613
- Country of Origin:
- United States
Similar Records
AdvEP
Multiverse: Bayesian model selection for neural networks
PyTorch Implementation of Log-Additive Convolutional Neural Networks
Software
·
Sun Jan 21 19:00:00 EST 2024
·
OSTI ID:code-140082
Multiverse: Bayesian model selection for neural networks
Software
·
Sun Apr 02 20:00:00 EDT 2023
·
OSTI ID:code-105521
PyTorch Implementation of Log-Additive Convolutional Neural Networks
Software
·
Wed May 15 20:00:00 EDT 2024
·
OSTI ID:code-140120