DeepFaceLab
tensorflow
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DeepFaceLab | tensorflow | |
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91 | 221 | |
43,236 | 182,173 | |
- | 0.6% | |
4.4 | 10.0 | |
6 months ago | 6 days ago | |
Python | C++ | |
GNU General Public License v3.0 only | 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.
DeepFaceLab
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DeepFaceLab VS facefusion - a user suggested alternative
2 projects | 30 Jan 2024
- Civitai founder champions open source, downplays AI deepfake porn (article on venturebeat)
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roop-unleashed
AFAIK the only app which supports whole head swapping is DeepfaceLab but it needs to be trained with lots of images and lacks a proper GUI.
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List of AI-Models
Click to Learn more...
- [Deepfakessfw] Meilleur moyen de créer un deepfake pour vidéos avec un logiciel gratuit pour le créer
- This Morgan Freeman deepfake
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From single photo to Dreambooth model
This could be a good departure point too as well: https://github.com/iperov/DeepFaceLab
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I compared TheLastBen's Fast DreamBooth with my "Improved" DreamBooth training - you be the judge!
At the moment it's still part of DeepFaceLab (https://github.com/iperov/DeepFaceLab) but I'm planning on removing unneeded dependencies and on releasing it as a "standalone" for DreamBooth usage..
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What’s the best way to get started in deep fake video as a complete noob with a Mac and plenty of programming experience (but not anything media or numerical)?
If you mean face swaps, then DeepFaceLab is probably still the best, https://github.com/iperov/DeepFaceLab My rig is a potato so I use the google colab, https://github.com/chervonij/DFL-Colab
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AMA (Emad here hello)
The waves around this and the personal responsibility discussion are interesting, for example https://github.com/iperov/DeepFaceLab is still around after many years.
tensorflow
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🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬
To get up to speed with TensorFlow, check their quickstart Support TensorFlow on GitHub ⭐
- One .gitignore to rule them all
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10 Github repositories to achieve Python mastery
Explore here.
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GitHub and Developer Ecosystem Control
Part of the major userbase pull in GitHub revolves around hosting a considerable number of popular projects including Angular, React, Kubernetes, cpython, Ruby, tensorflow, and well even the software that powers this site Forem.
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Non-determinism in GPT-4 is caused by Sparse MoE
Right but that's not an inherent GPU determinism issue. It's a software issue.
https://github.com/tensorflow/tensorflow/issues/3103#issueco... is correct that it's not necessary, it's a choice.
Your line of reasoning appears to be "GPUs are inherently non-deterministic don't be quick to judge someone's code" which as far as I can tell is dead wrong.
Admittedly there are some cases and instructions that may result in non-determinism but they are inherently necessary. The author should thinking carefully before introducing non-determinism. There are many scenarios where it is irrelevant, but ultimately the issue we are discussing here isn't the GPU's fault.
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Can someone explain how keras code gets into the Tensorflow package?
and things like y = layers.ELU()(y) work as expected. I wanted to see a list of the available layers so I went to the Tensorflow GitHub repository and to the keras directory. There's a warning in that directory that says:
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How to do deep learning with Caffe?
You can use Tensorflow's deep learning API for this.
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Ask HN: What is a AI chip and how does it work?
This is indeed the bread-and-butter, but there is use of all sorts of standard linear algebra algorithms. You can check various xla-related (accelerated linear algebra) folders in tensorflow or torch folders in pytorch to see the list of what is used [1],[2]
[1] https://github.com/tensorflow/tensorflow/tree/8d9b35f442045b...
[2] https://github.com/pytorch/pytorch/blob/6e3e3dd477e0fb9768ee...
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Mastering Data Science: Top 10 GitHub Repos You Need to Know
2. TensorFlow Developed by the Google Brain team, TensorFlow is a powerful open-source machine learning framework that’s perfect for deep learning and neural network projects. With TensorFlow, you can build and train complex models using an intuitive and flexible API, making it an essential tool for any data scientist looking to delve into deep learning.
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Tensorflow V2 - LSTM Penn Tree Bank Dataset
I found the official Tensorflow V1 code from a Github branch here (https://github.com/tensorflow/tensorflow/blob/r0.7/tensorflow/models/rnn/ptb/ptb_word_lm.py). All code necessary to run that file is in the /ptb folder (except data).
What are some alternatives?
faceswap - Deepfakes Software For All
DeepFaceLive - Real-time face swap for PC streaming or video calls
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
avatarify - Avatars for Zoom, Skype and other video-conferencing apps.
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Deep-Fakes
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
FaceFusion - Next generation face swapper and enhancer