Variational Dropout and Complex-valued Neural Networks in pytorch
Project description
An extension for pytorch providing essential building blocks for Complex-valued Neural Networks and torch.nn-compatible real- and complex-valued Variational Dropout methods. Implements the tools necessary to train and sparsify both real and complex-valued models, and seamlessly integrate them into existing pipelines.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file cplxmodule-2020.8.tar.gz.
File metadata
- Download URL: cplxmodule-2020.8.tar.gz
- Upload date:
- Size: 61.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/46.1.3.post20200330 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cbd4a9da9a0765989f63a972a705486c50a1b3641081c7c8df2b1d31edac791a
|
|
| MD5 |
5992691f83b6678cf3dc9107f5feab31
|
|
| BLAKE2b-256 |
98d5bd326876c8659e5e3ef0a79388b690a6ec2ed80731f23ed7d4fb06081f18
|
File details
Details for the file cplxmodule-2020.8-py3-none-any.whl.
File metadata
- Download URL: cplxmodule-2020.8-py3-none-any.whl
- Upload date:
- Size: 60.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/46.1.3.post20200330 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2b6dcb1ea4460e58ccdfacf556a9a611b44beac12d7f5db6a925be8c9648c40a
|
|
| MD5 |
d957dbfa1127ee3f0515b681daf21f66
|
|
| BLAKE2b-256 |
1327aa87252bb2b57045a5e701ab9d075ea37bce9aafe7bba12e5c888f268542
|