semvec/pypi-packages huggingface dataset:
pyogpclient 0.0.1
Open Game Protocol Client for Python 3
Requires Python: >=3.6

# pyogpclient
Open Game Protocol Client for Python 3

## Usage
```python
from pyogpclient import OGPClient

client = OGPClient("example.com", 7776)
status = client.query()

print("Current Players: " + str(status["info"]["player_count"]) + " / " + str(status["info"]["slot_max"]))
```

## Response
- game_id
- info
    - game_name
    - type
    - type_name
    - password
    - proxy
    - os
    - os_name
    - host_name
    - host_name_color
    - connect_port
    - mod
        - name
        - id
        - size
        - version
        - url
        - author
    - game_type
    - game_mode
    - map
        - name
        - file_name
        - file_size
        - file_md5
        - version
        - url
        - author
    - next_map (see map)
    - player_count
    - slot_max
    - bot_count
    - reserved_slots

### Missing Fields (TODO)
- teams
- players
- rules
- addons
- limits
anomaly-detection-models 0.1.4
Models for anomaly detection; see e.g. https://arxiv.org/abs/2009.02205
Requires Python: >=3.6

# anomaly_detection_models

Repository with some useful anomaly detection model definitions.

## install

for latest stable version

    pip install anomaly_detection_models [--user]

for most recent version, use

    git clone git@github.com:luclepot/anomaly_detection_models.git
    pip install . [--user] 

with the ``--user`` argument specifying local installation.

## usage

import models directly or subclass `anomaly_detection_base` to make a new model (instructions in-source)

## example

see [`demos/test.ipynb`](/demos/test.ipynb) for an example. general usage is like sklearn, as

```
from anomaly_detection_models import SACWoLa

sacwola = SACWoLa(epochs=10, lambda_=1.2)
sacwola.fit(x, y_sim, y_sb)

pred = sacwola.predict(x_test)
```