| 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. |
| 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. |
| espnet/espnet |
7,563 |
|
0 |
5 |
about 2 years ago |
33 |
October 25, 2023 |
270 |
apache-2.0 |
Python |
| End-to-End Speech Processing Toolkit |
| speechbrain/speechbrain |
7,166 |
|
0 |
0 |
about 2 years ago |
0 |
|
149 |
apache-2.0 |
Python |
| A PyTorch-based Speech Toolkit |
| wenet-e2e/wenet |
5,053 |
|
0 |
0 |
4 months ago |
13 |
August 29, 2023 |
55 |
apache-2.0 |
Python |
| Production First and Production Ready End-to-End Speech Recognition Toolkit |
| 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 |
| yanshengjia/ml-road |
2,742 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
Python |
| Machine Learning Resources, Practice and Research |
| alibaba-damo-academy/FunASR |
2,315 |
|
0 |
2 |
about 2 years ago |
42 |
November 28, 2023 |
156 |
other |
Python |
| A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models. |
| mravanelli/pytorch-kaldi |
2,138 |
|
0 |
0 |
about 4 years ago |
0 |
|
24 |
|
Python |
| pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit. |
| linto-ai/whisper-timestamped |
1,217 |
|
0 |
3 |
about 2 years ago |
3 |
December 08, 2023 |
15 |
agpl-3.0 |
Python |
| Multilingual Automatic Speech Recognition with word-level timestamps and confidence |
