fairseq
taro
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| fairseq | taro | |
|---|---|---|
| 89 | 1 | |
| 29,160 | 34,675 | |
| 1.4% | 1.0% | |
| 6.6 | 9.9 | |
| 8 days ago | 5 days ago | |
| Python | TypeScript | |
| MIT License | GNU General Public License v3.0 or later |
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.
fairseq
- Unsupervised (Semi-Supervised) ASR/STT training recipes
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Voice generation AI (TTS)
It might be worth checking out Meta's TTS tho, I haven't gotten the chance to fiddle around with it but it looks somewhat promising https://github.com/facebookresearch/fairseq/tree/main/examples/mms
-
Translation app with TTS (text-to-speech) for Persian?
META's mms supports tts for Persian according to https://dl.fbaipublicfiles.com/mms/misc/language_coverage_mms.html
They have instructions on how to use it in command line and a notebook on how to use it as a python library.
- Why no work on open source TTS (Text to speech) models
-
AI — weekly megathread!
Meta released a new open-source model, Massively Multilingual Speech (MMS) that can do both speech-to-text and text-to-speech in 1,107 languages and can also recognize 4,000+ spoken languages. Existing speech recognition models only cover approximately 100 languages out of the 7,000+ known spoken languages. [Details | Research Paper | GitHub].
- Massively Multilingual Search - Speech to Text and Text to Speech in 1,100+ Languages (open source, Meta)
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Meta AI announces Massive Multilingual Speech code, models for 1000+ languages
Code: https://github.com/facebookresearch/fairseq/tree/main/examples/mms
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Why is GPT-3 15.77x more expensive for certain languages?
https://github.com/facebookresearch/fairseq/blob/nllb/LICENS...
The model is CC. Because models aren't software.
taro
-
Top 10 Developer Trends, Thu Oct 22 2020
NervJS / taro
What are some alternatives?
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transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Auto.js - Automation&Workflow JavaScript IDE on Android(安卓平台上的JavaScript编程IDE)
text-to-text-transfer-transformer - Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
espnet - End-to-End Speech Processing Toolkit
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
uni-app - A cross-platform framework using Vue.js
widevine-l3-decryptor - A Chrome extension that demonstrates bypassing Widevine L3 DRM
vue-introjs - intro.js bindings for Vue.
ffdeptree - Fast import graph visualizer for Typescript or Javscript projects
angular-cli - CLI tool for Angular