MLSpace: Hassle free machine learning & deep learning development
- No need to worry about CUDA
- No need to worry about cuDNN
- No need to worry about TensorFlow version
- No need to worry about PyTorch version
- No need to install any libraries
coming soon
NOTE: PRs are currently not accepted. All PRs will be closed. Please use issues instead.
1 maintainer
Release files for mlspace 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlspace-0.0.5.tar.gz | 11.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlspace-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.5 kB
Release files / mlspace-0.0.5.tar.gz
| Download URL | mlspace-0.0.5.tar.gz |
|---|---|
| Size | 11.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12
|
Release files / mlspace-0.0.5-py3-none-any.whl
| Download URL | mlspace-0.0.5-py3-none-any.whl |
|---|---|
| Size | 14.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12
|
