PyTorch Lightning Applications
以 PyTorch Lightning 實作的機器學習與深度學習應用。
本地開發
載下 repo：
export REPO=pytorch_lightning_applications
git clone https://github.com/leemengtaiwan/$REPO.git
cd $REPO
建立新的 Anaconda 環境並安裝函式庫：
conda create -n $REPO python=3.6 -y
conda activate $REPO
pip install -r requirements.txt
設置 nbdev 環境並以可修改的方式安裝此 package：
nbdev_install_git_hooks
nbdev_build_lib
pip install -e .
nbdev_build_docs
1 maintainer
Metadata
1 maintainer
Release files for ml-recipe 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ml-recipe-0.0.3.tar.gz | 7.7 kB | Without provenance | Details for ml-recipe-0.0.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ml_recipe-0.0.3-py3-none-any.whl | Python 3 | none | any | Details for ml_recipe-0.0.3-py3-none-any.whl |
Total release size: 13.7 kB
Release files / ml-recipe-0.0.3.tar.gz
| Download URL | ml-recipe-0.0.3.tar.gz |
|---|---|
| Size | 7.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
26c17c67bfd661833c725297e26f6d24c3cfdc1fa625a8549de20685a3123783
|
|
BLAKE2b-256 checksum How to use checksums |
d0fe1d18ee356a699636468293e92ca47bcde7294dd5c37ea5cc4ff64eb2e33d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.6.10
|
Release files / ml_recipe-0.0.3-py3-none-any.whl
| Download URL | ml_recipe-0.0.3-py3-none-any.whl |
|---|---|
| Size | 6.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
11250e8e81e1195ca694e07a34c5884c9cf0a5cc70fad091eaf26db561391a82
|
|
BLAKE2b-256 checksum How to use checksums |
5db048d18e72f96d75c062a1d4dbf7b336e7108c7d14102709797a0b3e81719b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.6.10
|
Security for ml-recipe 0.0.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
