StyleTTS2
ML-For-Beginners
| StyleTTS2 | ML-For-Beginners | |
|---|---|---|
| 7 | 28 | |
| 4,124 | 67,111 | |
| - | 2.7% | |
| 8.6 | 7.6 | |
| about 1 month ago | 12 days ago | |
| Python | HTML | |
| MIT License | MIT License |
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.
StyleTTS2
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Hello guys, any selfhosted alternative to eleven labs?
Take a look at StyleTTS2
- I've open sourced my Flutter plugin to run on-device LLMs on any platform. TestFlight builds available now.
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Robot Dad
Love it OP!
Check out https://github.com/yl4579/StyleTTS2
For your local voice cloning needs.
HN discussion here https://news.ycombinator.com/item?id=38335255
Funny I’ve been talking about cloning my dad for a while in this same fashion. Thanks for the inspiration.
- FLaNK Stack Weekly for 20 Nov 2023
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StyleTTS2 – open-source Eleven Labs quality Text To Speech
To save people some time, this is tested on Ubuntu 22.04 (google is being annoying about the download link, saying too many people have downloaded it in the past 24 hours, but if you wait a bit it should work again):
git clone https://github.com/yl4579/StyleTTS2.git -
Weird A.I. Yankovic, a cursed deep dive into the world of voice cloning
You're in luck, the code dropped 6 hours ago :) https://github.com/yl4579/StyleTTS2
ML-For-Beginners
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Good coding groups for black women?
- https://github.com/microsoft/ML-For-Beginners
Also check out this list Pitt puts out every year:
- FLaNK Stack Weekly for 20 Nov 2023
- ML for Beginners GitHub
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is it worth learning NLP without master degree?
I don't recommend just jumping in into natural language processing directly without understanding artificial intelligence theory. I personally recommend for you to start with the basic stuff (regression, classification, and clustering, for example), and then jump into more advanced topics. You already know software developer stuff, so that's a big step already, and it should be easier to understand some concepts. Maybe follow Microsoft's machine learning for beginners curriculum? It looks like a good roadmap overall to not instantly burn out on nlp
- AI i Machine Learning
- I want to learn more about AI and Machine Learning
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Pocetak ML karijere
https://github.com/microsoft/ML-For-Beginners jel mislis na ovo?
- How could I have known
- GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- How do I reset my career after already getting my masters?
What are some alternatives?
LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
piper - A fast, local neural text to speech system
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
pycaret - An open-source, low-code machine learning library in Python
screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
FLaNK-EveryTransitSystem - Every transit system
pyVHR - Python framework for Virtual Heart Rate
bark - 🔊 Text-Prompted Generative Audio Model
S2ML-Art-Generator - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content [Moved to: https://github.com/justin-bennington/S2ML-Generators]