semvec/pypi-packages huggingface dataset:
armcor 0.2
ArmCor is a Python library for detecting and correcting OCR errors for Armenian texts.
Requires Python: >=3.6

# ArmCor

ArmCor is a Python library for detecting and correcting OCR errors for Armenian texts.

## Installation

```bash
pip install armcor
```

## Usage

```python
from armcor import ocr
ocr.detect_errors(tokens) # returns list of labels, 
                             # 1 if word contains OCR errors, and 0 otherwise
ocr.correct_errors(tokens, labels) # returns list of corrected words
tf-spherical-hashing 0.0.1
Tensorflow implementation of Spherical Hashing.

# Spherical Hashing
A Tensorflow 2 implementation of [Spherical Hashing](https://ieeexplore.ieee.org/document/6248024).

Spherical hashing is a way to compute a binary encoding of a feature vector while still maintaining
spatial coherence. This binary encoding can then be used for an approximate nearest neighbor 
solution since the compactness of this representation allows for faster neighbor search.

## Usage
```
from spherical_hashing import train_spherical_hashing
import tensorflow as tf

x_train = tf.random.uniform(shape=(1000, 512), minval=-10.0, maxval=10.0)
sph_model = train_spherical_hashing_model(x_train, n_bits=32)

x_test = tf.random.uniform(shape=(100, 512), minval=-10.0, maxval=10.0)
bits = sph_model(x_test, apply_pack_bits=True)
```

## Installation
```
pip install tf-spherical-hashing
```

## Development

### Run tests
```
./scripts/run-tests.sh
```

### Publish pip package
```
./scripts/publish.sh
```
Automagica 3.2.2
Open Source RPA and UI automation

![](https://automagica.com/wp-content/uploads/2020/06/logo.png)
# Automagica - Open Source Robotic Process Automation
[Website](https://www.automagica.com) | [Portal](https://portal.automagica.com) | [Documentation](https://automagica.readthedocs.io) | [YouTube](https://automagi.ca/youtube) | [Roadmap](https://automagi.ca/roadmap) | [Discord](https://discord.gg/PbY85WA) | [Telegram](https://t.me/automagica)

[![Downloads](https://pepy.tech/badge/automagica/month)](https://pepy.tech/project/automagica/month)

__[Automagica](https://automagica.com)__ is an open source __automation suite__ for fully automating tedious, manual tasks on any screen. Our vision is that __people should not be doing a robot's job__. Our mission is to make these automation tools as accessible as possible to empower everyone to automate (almost) anything. 

_"Let __bots__ handle the __clicks__ so __people__ can handle the __business__."_

![Love Automagica Example](https://i.imgur.com/C4M6LBl.gif)
SCS-CORE 0.0.1
The root of all South Coast Science environmental monitoring applications.
Requires Python: >3.5

# scs_core
The root of all South Coast Science environmental monitoring applications.

_Contains library classes only._


**Required libraries:** 

* Third party: AWSIoTPythonSDK, pytz, tzlocal


**Branches:**

The stable branch of this repository is master. For deployment purposes, use:

    git clone --branch=master https://github.com/south-coast-science/scs_core.git
SCS-HOST-POSIX 0.0.1
Host abstractions for data consumers running POSIX-compliant operating systems, including Windows 10.
Requires Python: >3.5

# scs_host_posix
Host abstractions for data consumers running POSIX-compliant operating systems, including Windows 10.

_Contains library classes only._

**Required libraries:** 

* Third party (always required): AWSIoTPythonSDK, tzlocal
* Third party (to enable OSIO data access) paho-mqtt, pycurl
* SCS root: scs_core


**Branches:**

The stable branch of this repository is master. For deployment purposes, use:

    git clone --branch=master https://github.com/south-coast-science/scs_host_posix.git