semvec/pypi-packages huggingface dataset:
remove-pooya-remove-why 0.3.0
Deep Utils
Requires Python: >=3.6

[![Downloads](https://static.pepy.tech/badge/deep_utils)](https://pepy.tech/project/deep_utils)
# Deep Utils 

This repository contains the most frequently used deep learning modules and functions.


## Table of contents

* [Table of contents](#table-of-contents)
* [Quick start](#quick-start)
* [References](#references)

## Quick start

1. Install:
    
    ```bash
    # With pip:
    pip install remove
    
    # or from the repo
    pip install git+https://github.com/Practical-AI/deep_utils.git
   
    # or clone the repo
    git clone https://github.com/Practical-AI/deep_utils.git remove
    pip install -U remove 
   ```
    
1. In python, import deep_utils and instantiate models:
    
    ```python
    from deep_utils import face_detector_loader, list_face_detection_models
    
   # list all the available models first 
   list_face_detection_models()
   
   # Create a face detection model using SSD
   face_detector = face_detector_loader('SSDCV2CaffeFaceDetector')
    
    
1. Detect an image:

    ```python
    import cv2
    from remove import show_destroy_cv2, Box
    
    # Load an image
    img = cv2.imread(<image path>)

    # Detect the faces
    boxes, confidences = face_detector.detect_faces(img)
    
    # Draw detected boxes on the image 
    img = Box.put_box(img, boxes)
    
    # show the results
    show_destroy_cv2(img) 
    ```
## References

1. Tim Esler's facenet-pytorch repo: [https://github.com/timesler/facenet-pytorch](https://github.com/timesler/facenet-pytorch)

just me
pathlit 0.0.4
PathLit engine Python SDK
Requires Python: >=3.6

# PathLit Python SDK

PathLit provides developers and quants with APIs that take the complexity out of writing code for financial portfolio calculations.

We provide a scalable and secure API-first engine with a library of investment methodologies that can calculate weights, run simulations, auto-backtest and more.

You bring product identifiers, we do the rest.

This python package acts as a simple interface with the PathLit API [reference](https://www.pathlit.io/docs/api/overview)

## Using the package

**pre-requisite:** A PathLit account is required to interact with the API with a unique key to the account. It can be done at the [account creation page](https://www.pathlit.io/signup).

### installation

`pip3 install pathlit`
python3-openttd 0.2.0
OpenTTD administration client library

``python3-openttd``
===================

``python3-openttd`` is a pure-python client library for interfacing with the
`admin server port <https://wiki.openttd.org/Server_admin_port>`_ of `OpenTTD
<https://www.openttd.org>`_.

Requirements
------------

* `Python <https://www.python.org>`_ 3.5+

Basic usage
-----------

See the examples directory for examples :).

Documentation
-------------

Run::

    make docs-html

or::

    cd docs
    make html

to build `sphinx-based <http://sphinx-doc.org/>`_ documentation. View with your
favourite web browser from ``docs/sphinx-data/build/html/index.html`` or run
``make docs-view-html``.