semvec/pypi-packages huggingface dataset:
pitayaserver 0.3.0
A library for creating pitaya backend servers using python

python pitayaserver
====================

This lib helps creating pitaya backend servers using python.

### Installing

pip install pitayaserver

### Usage
For using the lib, you should assure that libpitaya-server compiled library is in the same path you are trying to run python, or specify it manually setting the env var PITAYA_LIB_DIR.

See python-example folder in root directory.
django-transaction-hooks 0.3
Django database backends that permit registering post-transaction-commit hooks

============================
django-transaction-hooks
============================

This project has been merged into Django and is now core functionality in
all supported versions of Django. Use the version built-in to Django; this
standalone app is unmaintained.
CHANGES
=======

0.3 (2020.03.15)
----------------

* Formally deprecate and archive the project; it is included as part of all
  Django versions since 1.9. Use the version included in Django and report any
  bugs or issues to Django; this standalone app is not maintained.

* Drop support for Python 2.6, Python 3.2, and Django 1.6.


0.2 (2014.11.29)
----------------

* Add built-in PostGIS backend. Merge of GH-16, fixes GH-14. Thanks Bertrand
  Bordage.


0.1.4 (2014.05.27)
------------------

* Make it possible to execute a transaction within an on-commit hook (except on
  SQLite). Merge of GH-9, fixes GH-8. Thanks Marek Malek.


0.1.3 (2014.01.24)
-------------------

* Fix failure when mixing-in with database backends that perform queries in
  ``__init__`` (e.g. PostGIS backend when ``POSTGIS_VERSION`` setting is not
  set). Merge of GH-6, fixes GH-5. Thanks Niels Sandholt Busch.


0.1.2 (2014.01.21)
------------------

* Fix bug where running queries in an ``on_commit`` hook under Postgres caused
  an "autocommit cannot be used inside a transaction" error. (GH-4).


0.1.1 (2014.01.18)
------------------

* Clear run-on-commit hooks even if one raises an exception. Thanks akaariai.


0.1 (2014.01.18)
----------------

* Initial working version; support for SQLite3, PostgreSQL, MySQL.
nod-labs-NNS 0.0.1
Nod AutoML package for neural architecture search and model training of image classification
Requires Python: >=3.5

# NodLabsNNS pip package

Nod Labs AutoML package for neural architecture search and model training of image classification

## Requirements
* Access to Cloud TPUs ([Official Cloud TPU Tutorial](https://cloud.google.com/tpu/docs/tutorials/mnasnet))
* Tensorflow 1.15
* Python 3.5+

### Specific steps
1. install pip package
```
pip3 install nod-labs-NNS==0.0.1
```
2. Setting up ImageNet dataset

To setup the ImageNet follow the instructions from [here](https://cloud.google.com/tpu/docs/tutorials/amoebanet#full-dataset)

3. Use nodlabsNNS package for neural architecture search and train

create a python file

Search

```
import nns

model = model.nod_detection('tpu','your-tpu-name','your-bucket-name')
model.dataset('imagenet')
model.search_model()
```
Train
```
import nns

model = model.nod_detection('tpu','your-tpu-name','your-bucket-name')
model.dataset('imagenet')
model.train_model()
```
Currently nns only support TPU for searching and training and only support IMAGENET dataset.