Real-Time-Voice-Cloning
pyenv
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Real-Time-Voice-Cloning | pyenv | |
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96 | 260 | |
50,738 | 36,626 | |
- | 2.9% | |
0.0 | 8.9 | |
about 1 month ago | 16 days ago | |
Python | Roff | |
GNU General Public License v3.0 or later | MIT License |
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Real-Time-Voice-Cloning
- FLaNK Stack Weekly 12 February 2024
- Voice Cloning
- Show HN: Real Time Voice Cloning – Instant DeepFake Audio
- Bu dakikadaki bahsedilen yapay zekayı bulamadım yardımcı olur musunuz?
- Alarming Rise of Voice Cloning Fraud Targeting the Elderly through AI
- Dark Brandon going hard
- Conselho do TRF-4 afasta juiz da Lava Jato
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What Photoshop Can't Do, DragGAN Can! See How! Paper Explained, Along with Additional Supplementary Video Footage
Oh maybe it is available: https://github.com/CorentinJ/Real-Time-Voice-Cloning
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Regarding recent posts about AI voice generation
I know this isn't the bulk of your argument, but if the concern is uploading, offline voice cloners have existed for years (albeit not as good as elevenlabs) but will presumably get far better in the years to come now that everyone has seen what's possible and as PC compute power continues to improve. https://github.com/CorentinJ/Real-Time-Voice-Cloning
- 'He Would Still Be Here': Man Dies by Suicide After Talking with AI Chatbot, Widow Says | The incident raises concerns about guardrails around quickly-proliferating conversational AI models.
pyenv
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Setup and Use Pyenv in Python Applications
For more information visit: pyenv repository
- Pyenv – lets you easily switch between multiple versions of Python
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How to Create Virtual Environments in Python
Note that virtual environments assume you are using the same global version of Python. Often, this is not the case and additional tools like pyenv can be used alongside virtual environments when you need to switch between versions of Python itself on your local machine.
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How to debug Django inside a Docker container with VSCode
Python version manager pyenv
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Integrating GPT in Your Project: Create an API for Anything Using LangChain and FastAPI
First of all, install the Python virtual environment from these links: 1 and 2. I developed my GPT-based API in Python version 3.8.18. Pick any Python versions >= 3.7.
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Manage your Python Project End-to-End with PDM
Note: Most modern systems will probably have a system environment that meets this requirement, but if yours does not or if you prefer not to install anything in your system environment (even if it's just PDM) check out asdf or pyenv to help install and manage additional Python environments.
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Introducing Flama for Robust Machine Learning APIs
When dealing with software development, reproducibility is key. This is why we encourage you to use Python virtual environments to set up an isolated environment for your project. Virtual environments allow the isolation of dependencies, which plays a crucial role to avoid breaking compatibility between different projects. We cannot cover all the details about virtual environments in this post, but we encourage you to learn more about venv, pyenv or conda for a better understanding on how to create and manage virtual environments.
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Is KDE Desktop really snappier than XFCE these days as claimed?
For Python, with your use case I would avoid system packages, no matter the distro. It sounds like it would be worth setting up pyenv and working exclusively with virtual environments.
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Python Versions and Release Cycles
For OSX there is homebrew or pyenv (pyenv is another solution on Linux). As pyenv compiles from source it will require setting up XCode (the Apple IDE) tools to support this which can be pretty bulky. Windows users have chocolatey but the issue there is it works off the binaries. That means it won't have the latest security release available since those are source only. Conda is also another solution which can be picked up by Visual Studio Code as available versions of Python making development easier. In the end it might be best to consider using WSL on Windows for installing a Linux version and using that instead.
- Почему я программирую на Ruby
What are some alternatives?
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
Poetry - Python packaging and dependency management made easy
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
Pipenv - Python Development Workflow for Humans.
MockingBird - 🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
miniforge - A conda-forge distribution.
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
virtualenv - Virtual Python Environment builder
glados-voice-assistant - DIY Voice Assistant based on the GLaDOS character from Portal video game series. Works with home assistant!
Pew - A tool to manage multiple virtual environments written in pure python