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Top 23 Gan Open-Source Projects
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nn
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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PaddleGAN
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
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lama
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
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t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
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faceswap-GAN
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
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SinGAN
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: Ask HN: What is the state of the art in AI photo enhancement? | news.ycombinator.com | 2024-01-24
🔗 https://github.com/microsoft/AI-For-Beginners 🔗 https://microsoft.github.io/AI-For-Beginners/
Click to Learn more...
Project mention: Logistic Regression for Image Classification Using OpenCV | news.ycombinator.com | 2023-12-31In this case there's no advantage to using logistic regression on an image other than the novelty. Logistic regression is excellent for feature explainability, but you can't explain anything from an image.
Traditional classification algorithms but not deep learning such as SVMs and Random Forest perform a lot better on MNIST, up to 97% accuracy compared to the 88% from logistic regression in this post. Check the Original MNIST benchmarks here: http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/#
Project mention: Any work on Style transfer using Stable Diffusion based on image-mask pairs similar to Pix2Pix | /r/StableDiffusion | 2023-08-29I have previously worked on retraining Pix2Pix GAN for image-to-image style transfer retrained with image-mask pairs. I expect Stable Diffusion to be better than Pix2Pix, but the problem sounds like something that should have been tackled already. I am familiar with text-based instructions for style transfer using SD (Instruct Pix2Pix), but retraining with image-mask pairs should provide better results. Does anyone know if anything that like exists already? Reference for Pix2Pix https://phillipi.github.io/pix2pix/
Project mention: Can someone please help me with inpainting settings to remove the subject from this image? I want to rebuild as much of the original background as possible. | /r/StableDiffusion | 2023-07-03You could try to use ControlNet inpaint+lama locally, but results aren't as good in my experience. Or you could try local install of lama directly, but the setup process isn't very smooth.
rom PIL import Image import torch import IPython from IPython.display import display # upload images from google.colab import files uploaded = files.upload() # https://github.com/bryandlee/animegan2-pytorch # load models and face2paint utility function model_facev2 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", pretrained="face_paint_512_v2") face2paint = torch.hub.load("bryandlee/animegan2-pytorch:main", "face2paint", size=512) for INPUT_IMG in ['KatLi.JPG']: img = Image.open(INPUT_IMG).convert("RGB") out_facev2 = face2paint(model_facev2, img) # display images display(img) display(out_facev2)
Project mention: How do I transfer a face from one image to another image? | /r/StableDiffusion | 2023-07-11simswap is an earlier alternative to roop, but they have a 512x512 model. https://github.com/neuralchen/SimSwap
Gan related posts
- Ask HN: What is the state of the art in AI photo enhancement?
- Netflix Queen Elizabeth generated by Chat GPT
- ydata-synthetic: NEW Data - star count:1083.0
- Any work on Style transfer using Stable Diffusion based on image-mask pairs similar to Pix2Pix
- I absolutely hate my internship
- Assessing the Quality of Synthetic Data with Data-Centric AI
- How do I transfer a face from one image to another image?
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A note from our sponsor - WorkOS
workos.com | 24 Apr 2024
Index
What are some of the best open-source Gan projects? This list will help you:
Project | Stars | |
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1 | nn | 47,503 |
2 | GFPGAN | 34,533 |
3 | AI-For-Beginners | 30,927 |
4 | pytorch-CycleGAN-and-pix2pix | 21,952 |
5 | the-gan-zoo | 14,007 |
6 | CycleGAN | 12,132 |
7 | fashion-mnist | 11,439 |
8 | pix2pix | 9,859 |
9 | Keras-GAN | 9,105 |
10 | so-vits-svc-fork | 8,287 |
11 | PaddleGAN | 7,666 |
12 | TensorLayer | 7,275 |
13 | lama | 7,165 |
14 | pix2pixHD | 6,521 |
15 | gluon-cv | 5,751 |
16 | t81_558_deep_learning | 5,666 |
17 | animegan2-pytorch | 4,339 |
18 | SimSwap | 4,177 |
19 | photo2cartoon | 3,863 |
20 | ALAE | 3,494 |
21 | faceswap-GAN | 3,328 |
22 | SinGAN | 3,281 |
23 | SRGAN | 3,192 |
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