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.
1 maintainer
Metadata
1 maintainer
Release files for tntorch 1.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tntorch-1.1.2.tar.gz | 63.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tntorch-1.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 127.1 kB
Release files / tntorch-1.1.2.tar.gz
| Download URL | tntorch-1.1.2.tar.gz |
|---|---|
| Size | 63.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1dcd885f74b0e6da8dd7f215ad35bad643452108833ef3f757eb86cb063bd9a7
|
|
BLAKE2b-256 checksum How to use checksums |
580243bd8de6f310e4ccc991209e663ae1d290a099d86c31460685450d10b012
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.10.12
|
Release files / tntorch-1.1.2-py3-none-any.whl
| Download URL | tntorch-1.1.2-py3-none-any.whl |
|---|---|
| Size | 63.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
de83901db848ec806f76e57016b652a8b8ae3977b246628ce3dc4e6c3c7f5a67
|
|
BLAKE2b-256 checksum How to use checksums |
f15aa57fccaf50b1b7d1a3e8c025f96f4ec98f98e967b6dab163416f0d3d38a2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.10.12
|
