| huggingface/transformers |
119,240 |
|
64 |
2,484 |
about 2 years ago |
125 |
November 15, 2023 |
946 |
apache-2.0 |
Python |
| 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. |
| mozilla/DeepSpeech |
23,687 |
|
29 |
14 |
over 2 years ago |
100 |
December 19, 2020 |
137 |
mpl-2.0 |
C++ |
| DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. |
| NVIDIA/DeepLearningExamples |
12,073 |
|
0 |
0 |
about 2 years ago |
0 |
|
295 |
|
Jupyter Notebook |
| State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure. |
| nl8590687/ASRT_SpeechRecognition |
7,253 |
|
0 |
0 |
about 2 years ago |
1 |
October 23, 2020 |
101 |
gpl-3.0 |
Python |
| A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统 |
| snakers4/silero-models |
4,088 |
|
0 |
4 |
over 2 years ago |
4 |
June 12, 2022 |
8 |
other |
Jupyter Notebook |
| Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple |
| tensorflow/lingvo |
2,776 |
|
0 |
0 |
about 2 years ago |
0 |
|
133 |
apache-2.0 |
Python |
| Lingvo |
| zzw922cn/Automatic_Speech_Recognition |
2,743 |
|
0 |
0 |
about 4 years ago |
0 |
|
69 |
mit |
Python |
| End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow |
| yanshengjia/ml-road |
2,742 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
Python |
| Machine Learning Resources, Practice and Research |
| pannous/tensorflow-speech-recognition |
2,150 |
|
0 |
0 |
about 2 years ago |
0 |
|
33 |
other |
Python |
| 🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks |
| coqui-ai/STT |
1,988 |
|
0 |
2 |
over 2 years ago |
60 |
September 03, 2022 |
105 |
mpl-2.0 |
C++ |
| 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy. |
