| Name | Version | Summary | date |
| speechly-api |
0.10.3 |
Speechly Public Protobuf Stubs |
2023-08-31 07:39:18 |
| nm-transformers |
1.5.1.42301 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2023-08-23 01:27:39 |
| zerospeech-benchmarks |
0.9.4 |
Toolset for usage of the Zero Resource Challenge Benchmarks. |
2023-08-21 09:32:47 |
| together-worker |
0.1.22 |
|
2023-08-17 04:29:12 |
| zerospeech-libriabx2 |
0.9.8 |
Package implementing a revamped method to the librilight-abx. |
2023-06-19 12:59:53 |
| zerospeech-tde |
2.0.3 |
Evaluation toolbox for Term Discovery systems |
2023-06-19 12:41:48 |
| pyttsx4 |
3.0.14 |
Text to Speech (TTS) library for Python 3. Works without internet connection or delay. Supports multiple TTS engines, including Sapi5, nsss, and espeak. |
2023-06-17 08:49:58 |
| google-speech |
1.2.0 |
Read text using Google Translate TTS API |
2023-05-30 08:53:20 |
| pyttsx3-alt |
2.91 |
Text to Speech (TTS) library for Python 3. Works without internet connection or delay. Supports multiple TTS engines, including Sapi5, nsss, and espeak. |
2023-05-22 15:23:51 |
| grokspeechrec |
0.0.2 |
TEST APP TMLC |
2023-05-17 07:19:10 |
| testapptmlc |
0.1.4 |
TEST APP TMLC |
2023-05-03 18:46:14 |
| together-web3 |
0.1.5 |
|
2023-04-28 17:38:31 |
| retico |
0.1.8 |
Retico is an open source framework for building state-of-the-art incremental processing systems. |
2023-04-15 16:44:25 |
| playfromtext |
0.1 |
A Python for playing audio from text and saving it to a file |
2023-04-10 07:49:02 |
| aibo |
0.0.2 |
aibo: AI partner that can run offline |
2023-04-03 14:52:23 |
| transformers-machinify |
4.27.0.dev0 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2023-03-25 00:41:42 |
| speechline |
0.0.2 |
An end-to-end, offline, batch audio categorization, transcription, and segmentation. |
2023-03-14 09:36:26 |
| wordseg |
0.0.5 |
Word segmentation models |
2023-03-11 21:58:09 |
| ckls-test-lib |
4.2.7 |
John Snow Labs Spark NLP is a natural language processing library built on top of Apache Spark ML. It provides simple, performant & accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment. |
2023-01-23 15:14:00 |
| in-transformers |
1.0.0 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2023-01-19 01:56:21 |