Explore the world of Artificial Intelligence (AI) with our 12-week, 24-lesson curriculum! It includes practical lessons, quizzes, and labs. The curriculum is beginner-friendly and covers tools like TensorFlow and PyTorch, as well as ethics in AI
This deepfake software is designed to be a productive tool for the AI-generated media industry. It can assist artists in animating custom characters, creating engaging content, and even using models for clothing design.
This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations,
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This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs
If GFPGAN is helpful in your photos/projects, please help to :star: this repo or recommend it to your friends. Thanks:blush: Other recommended projects:
The purpose of this project is not to produce as optimized and computationally efficient algorithms as possible but rather to present the inner workings of them in a transparent and accessible way.
A collection of various deep learning architectures, models, and tips
You can also check out the same data in a tabular format with functionality to filter by year or do a quick search by title here.
All yandex dist links went bad, you can download the model from the
Provided docker image is based on NGC PyTorch repository. To quickly try out visualizer in Docker, run the following:
Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and source codes with explanation, for both TF v1 & v2.
New: Please check out img2img-turbo repo that includes both pix2pix-turbo and CycleGAN-Turbo. Our new one-step image-to-image translation methods can support both paired and unpaired training and produce better results by leveraging the pre-trained StableDiffusion-Turbo model.
pytorch/examples is a repository showcasing examples of using PyTorch. The goal is to have curated, short, few/no dependencies high quality examples that are substantially different from each other that can be emulated in your existing work.
This Reposisitory is Archived This project was a wild ride since I started it back in 2018. 6 years ago as of this writing (October 19, 2024)!.
PyTorch implementations of Generative Adversarial Networks.
Avatarify Python requires manually downloading and installing some dependencies, and is therefore best suited for users who have some experience with command line applications. Avatarify Desktop, which aims to be easier to install and use, is recommended for most users.
> > > Abstract: We propose an alternative generator architecture for generative adversarial networks, borrowing from style transfer literature. , freckles, hair), and it enables intuitive, scale-specific control of the synthesis.
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
The catch? The neural network is hallucinating details based on its training from example images. It's not reconstructing your photo exactly as it would have been if it was HD.
(this list is no longer maintained, and I am not sure how relevant it is in 2020)
★★★ NEW: StyleGAN2-ADA-PyTorch is now available; see the full list of versions here ★★★
On some tasks, decent results can be obtained fairly quickly and on small datasets. For example, to learn to generate facades (example shown above), we trained on just 400 images for about 2 hours (on a single Pascal Titan X GPU).