TensorNet is a high-level deep learning library built on top of PyTorch.
Installation
You can use pip to install tensornet
pip install torch-tensornet
If you want to get the latest version of the code before it is released on PyPI you can install the library from GitHub
pip install git+https://github.com/shan18/TensorNet.git#egg=torch-tensornet
Documentation
Documentation is available at: https://tensornet.readthedocs.io/en/latest/
How to Use
For examples on how to use TensorNet, refer to the examples directory.
Dependencies
TensorNet has the following third-party dependencies
- torch
- torchvision
- torchsummary
- tqdm
- matplotlib
- albumentations
- opencv-python
Contact/Getting Help
If you need any help or want to report a bug, raise an issue in the repo.
Release files for torch-tensornet 1.3.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| torch-tensornet-1.3.3.tar.gz | 48.5 kB | Details |
Release files / torch-tensornet-1.3.3.tar.gz
| Download URL | torch-tensornet-1.3.3.tar.gz |
|---|---|
| Size | 48.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
38dda3f04b6442990a26bd96c995e5d912ed775269f3a006782c27c9341872b5
|
|
BLAKE2b-256 checksum How to use checksums |
c0a37527dea158f3b1045511e0f00f7355eb9cb49c951650d16033e074b0f6a8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12
|