semvec/pypi-packages huggingface dataset:
deepdrive-ci 0.0.5
Common code for Deepdrive CI scripts
License: MIT
Requires Python: >=3.5
Keywords: deepdrive ci

Deepdrive Continuous Integration infrastructure
===============================================

This package contains common code used by the CI scripts for various components of Deepdrive.

To install the package, run: `pip3 install deepdrive-ci`


## Legal

Copyright &copy; 2019, [Deepdrive](https://deepdrive.io/). Licensed under the MIT License, see the file [LICENSE](https://github.com/deepdrive/deepdrive-ci/blob/master/LICENSE) for details.
crosstrainer 0.1.5
CrossTrainer: Practical Domain Adaptation with Loss Reweighting
License: MIT

# CrossTrainer: Practical Domain Adaptation with Loss Reweighting

This is an implementation of the method described in "CrossTrainer: Practical Domain Adaptation with Loss Reweighting" by Justin Chen, Edward Gan, Kexin Rong, Sahaana Suri, and Peter Bailis.

### Install
The crosstrainer package can be installed using pip.

```
pip install crosstrainer
```

### Usage

CrossTrainer utilizes loss reweighting to train machine learning models using data from a target task with supplementary source data.

##### Inputs:
Base model, target data, source data.

##### Outputs:
Trained model with optimized weighting parameter alpha.

##### Example:

```python
import crosstrainer
from sklearn import linear_model

lr = linear_model.LogisticRegression()
ct = CrossTrainer(lr, k=5, delta=0.01)
lr, alpha = ct.fit(X_target, y_target, X_source, y_source)
y_pred = lr.predict(X_test)
```

More examples can be found in the tests file: ```crosstrainer/tests/test_crosstrainer.py```.
tensorflowutil 0.1.7
Collection of some useful tensorflow util functions.
License: MIT

# Tensorflow utility package 

- installs and imports tensorflow
- will expose several utility api that can be used commonly in multiple other machine learning and tensorflow specific projects.

Install package using the main PYPI server (beware of caching problem)

```bash
$ pip install tensorflowutil==CURRENT_VERSION
```

### Installation verification

Finally, verify installation using the exposed entry point:

```bash
$ tfutil --version
```

Should print something like:

```
Package: tensorflowutil 
Version: 0.1.5
```

## Limitations
- GPU support?

# License
> Please refer to LICENSE file for detail.
wtime 0.4
Week Time
License: MIT
Keywords: SVG PNG PDF

`wtime` draws a weekly timetable.

Dependencies
------------

* [Python](https://www.python.org) 3.6+
* [Inkscape](https://inkscape.org) — *optional, for PNG and PDF rendering*
* [OptiPNG](http://optipng.sourceforge.net) — *optional, for PNG optimization*