Tensor Network Learning with PyTorch
Project description
tntorch is a PyTorch-powered modeling and learning library using tensor networks. Features include basic and fancy indexing of tensors, broadcasting, assignment, etc.; tensor decomposition and arithmetics; adaptive sampling (cross-approximation); global optimization of tensors; sensitivity analysis; and more.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
tntorch-1.1.1.tar.gz
(63.7 kB
view details)
Built Distributions
tntorch-1.1.1-py3-none-any.whl
(63.3 kB
view details)
File details
Details for the file tntorch-1.1.1.tar.gz.
File metadata
- Download URL: tntorch-1.1.1.tar.gz
- Upload date:
- Size: 63.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c0ceffd0fea41077fbe7e42b6fda09c10bb750b8dbbd3272b30a61ff164e6e81 |
|
| MD5 | 990e5d26a2c0d3399a3afcd4a5ef4055 |
|
| BLAKE2b-256 | 96b2890375e8e072a304d3e560fa90088810e8517c2696eb035da325594362d5 |
File details
Details for the file tntorch-1.1.1-py3-none-any.whl.
File metadata
- Download URL: tntorch-1.1.1-py3-none-any.whl
- Upload date:
- Size: 63.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 74953568f2226a0aa06cacc02d5595de48e208e87286f5da3c68295392b670b8 |
|
| MD5 | b8b6f44a6efc1c799cd59110b7bd22d1 |
|
| BLAKE2b-256 | a2ed124f0f129a38947431c9eeff7709eeff89f577a8d90dc5639aa1f7e80068 |
File details
Details for the file tntorch-1.1.1-py2.py3-none-any.whl.
File metadata
- Download URL: tntorch-1.1.1-py2.py3-none-any.whl
- Upload date:
- Size: 61.4 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 60aecb8b503735f912e11dbdd4fc6ea9d86c02368590220442e03ef327256cd3 |
|
| MD5 | 66298b02362029b344ac32061c0c5f43 |
|
| BLAKE2b-256 | 06a6ea661eff8329f3a7973a28cb044409d0a34523c21d6b383ada116eb0d448 |
