infery-examples
w2v2-how-to
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infery-examples | w2v2-how-to | |
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1 | 1 | |
50 | 398 | |
- | 5.8% | |
0.0 | 3.8 | |
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Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 or later | MIT License |
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infery-examples
w2v2-how-to
What are some alternatives?
tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
vits - VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
hand-gesture-recognition-mediapipe - This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points. Handpose is estimated using MediaPipe.
soxan - Wav2Vec for speech recognition, classification, and audio classification
fastT5 - ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
models - A collection of pre-trained, state-of-the-art models in the ONNX format
x-stable-diffusion - Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention. Join our Discord communty: https://discord.com/invite/TgHXuSJEk6
vits-japanese - 无需情感标注的情感可控语音合成模型,基于VITS [Moved to: https://github.com/innnky/emotional-vits]
nebuly - The user analytics platform for LLMs
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
timm-flutter-pytorch-lite-blogpost - PyTorch at the Edge: Deploying Over 964 TIMM Models on Android with TorchScript and Flutter.
emotional-vits - 无需情感标注的情感可控语音合成模型,基于VITS