Metadata-Version: 2.1
Name: tivelo
Version: 0.0.17
Summary: single cell velocity analysis
Author-email: Muyang GE <muyangge@link.cuhk.edu.hk>
License: MIT
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: bson>=0.5.10
Requires-Dist: numpy>=1.21.0
Requires-Dist: scipy>=1.10.0
Requires-Dist: matplotlib>=3.4.0
Requires-Dist: pandas>=2.0.0
Requires-Dist: networkx>=3.0.0
Requires-Dist: scikit-learn>=1.0.0
Requires-Dist: scanpy>=1.9.0
Requires-Dist: tqdm>=4.0.0
Requires-Dist: torch>=1.9.0
Requires-Dist: scvelo==0.3.1
Requires-Dist: numba>=0.55.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0; extra == "dev"
Requires-Dist: twine>=4.0.2; extra == "dev"

## TIVelo
A Tool to be Published on Nature

## Usage && Installation
Please follow the [Tutorials](https://tivelo.readthedocs.io/en/latest/) for installation and Usage.



+ ImportError: keras.optimizers.legacy is not supported in Keras 3. When using tf.keras, to continue using a tf.keras.optimizers.legacy optimizer, you can install the tf_keras package (Keras 2) and set the environment variable TF_USE_LEGACY_KERAS=True to configure TensorFlow to use tf_keras when accessing tf.keras.
```bash
pip install tf_keras
```
```python
import os
os.environ['TF_USE_LEGACY_KERAS'] = 'True'
```
