semvec/pypi-packages huggingface dataset:
sdp-transfrom 1.0.1
A simple Python parser and writer of SDP.
License: MIT
Requires Python: >=3.6.0

# sdp-transform

A simple Python parser and writer of SDP. Defines internal grammar based on [RFC4566 - SDP](http://tools.ietf.org/html/rfc4566), [RFC5245 - ICE](http://tools.ietf.org/html/rfc5245), and many more.

## Reference
[JavaScript Version sdp-transform](https://github.com/clux/sdp-transform)

## Installing
```
pip install sdp-transform
```


## Usage
```python
import sdp_transform

# parse str to dict
sdp_dict = sdp_transform.parse("v=0\r\no=- 20518 0 IN IP4 203.0.113.1\r\ns= \r\nt=0 0\r\nc=IN IP4 203.0.113.1\r\na=ice-ufrag:F7gI\r\na=ice-pwd:x9cml/YzichV2+XlhiMu8g\r\na=fingerprint:sha-1 42:89:c5:c6:55:9d:6e:c8:e8:83:55:2a:39:f9:b6:eb:e9:a3:a9:e7\r\nm=audio 54400 RTP/SAVPF 0 96\r\na=rtpmap:0 PCMU/8000\r\na=rtpmap:96 opus/48000\r\na=ptime:20\r\na=sendrecv\r\na=candidate:0 1 UDP 2113667327 203.0.113.1 54400 typ host\r\na=candidate:1 2 UDP 2113667326 203.0.113.1 54401 typ host\r\nm=video 55400 RTP/SAVPF 97 98\r\na=rtpmap:97 H264/90000\r\na=fmtp:97 profile-level-id=4d0028;packetization-mode=1\r\na=rtpmap:98 VP8/90000\r\na=sendrecv\r\na=candidate:0 1 UDP 2113667327 203.0.113.1 55400 typ host\r\na=candidate:1 2 UDP 2113667326 203.0.113.1 55401 typ host\r\n")

# write dict to str
sdp_str = sdp_transform.write(sdp_dict)
```
MiniClassifier 0.1
A Classifier Deep Learning library for Binary/Categorical Text Classification with Keras
License: MIT
Keywords: Text Classification,Embeddings,Deep Learning Networks,Bidirectional Lstms,Convolution Networks,Pretrained Embeddings,Keras,Tensorflow

This library contains a deep learning architecture comprised of Bidirectional LSTMs, Dense and Convolution Neural Networks for Text Classification(Keras).There are parameters for using Pre-trained embeddings like Glove, Fast text etc.For using pretrianed embeddings,a relative path to the embedding file should be provided.The entire workflow is provided in Test Scripts,for Binary and Categorical Classification.Only changes are required in the relative paths of the dataset, embeddings(if any) and the hyperparameters.