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 practicalml 0.0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| practicalml-0.0.2.tar.gz | 7.7 kB | Without provenance | Details for practicalml-0.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| practicalml-0.0.2-py3-none-any.whl | Python 3 | none | any | Details for practicalml-0.0.2-py3-none-any.whl |
Total release size: 13.7 kB
Release files / practicalml-0.0.2.tar.gz
| Download URL | practicalml-0.0.2.tar.gz |
|---|---|
| Size | 7.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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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 / practicalml-0.0.2-py3-none-any.whl
| Download URL | practicalml-0.0.2-py3-none-any.whl |
|---|---|
| Size | 6.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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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
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Security for practicalml 0.0.2
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