w2v2-how-to
soxan
| w2v2-how-to | soxan | |
|---|---|---|
| 1 | 1 | |
| 401 | 218 | |
| 2.7% | - | |
| 3.8 | 10.0 | |
| 12 months ago | about 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
w2v2-how-to
soxan
What are some alternatives?
vits - VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
fer - Facial Expression Recognition with a deep neural network as a PyPI package
models - A collection of pre-trained, state-of-the-art models in the ONNX format
whisper-youtube - 🔉 Youtube Videos Transcription with OpenAI's Whisper
infery-examples - A collection of demo-apps and inference scripts for various deep learning frameworks using infery (Python).
converse - Conversational text Analysis using various NLP techniques
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]
Bangla-Spoken-Number-Recognition - recognizing spoken Bangla numbers using MFCCs and CNN.
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
face-emotion-recognition - Efficient face emotion recognition in photos and videos
emotional-vits - 无需情感标注的情感可控语音合成模型，基于VITS
ast - Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".