PassGAN
joliGEN
| PassGAN | joliGEN | |
|---|---|---|
| 3 | 4 | |
| 1,691 | 198 | |
| - | 2.0% | |
| 0.0 | 9.4 | |
| about 1 year ago | 5 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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PassGAN
- Dónde o como puedo aprender a hackear redes wifi
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An AI Just Cracked Your Password
Do they provide any details on their study, except for a few sentences on a beautiful web page? Is this related to the paper from 2019: https://arxiv.org/abs/1709.00440 ? Maybe to the corresponding tool from 2017 that tried to reproduce results of their previous versions: https://github.com/brannondorsey/PassGAN ?
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keras.layers.conv1d vs libs.ops.conv1d.Conv1D
For context, I'm trying to translate the following into Kera's API essentially: https://github.com/brannondorsey/PassGAN/blob/master/models.py.
joliGEN
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[D] Question about using diffusion to denoise images
Absolutely, I do second this, Palette is what you are looking for. We have a modified version in JoliGAN, with PR for various conditioning, including masks and sketches, cf https://github.com/jolibrain/joliGAN/pull/339
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[D] Is the GAN architecture currently old-fashioned?
We use https://github.com/jolibrain/joliGAN which is a lib for image2image with additional "semantic" constraints. I.e. when there's a need to conserve labels, physics, anything between the two domains. This lib aggregates and improves on existing works.
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[P] Real-time AR for jewelry virtual try on that looks real, done with joliGAN, based on a few 2D videos and no 3D model
We thought we'd share some technical details since the underlying code, JoliGAN is Open Source, https://github.com/jolibrain/joliGAN
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[D] Augmentation in GAN
Look at DiffAug, deceive, and such. It's all implemented into Joligan, https://github.com/jolibrain/joliGAN We're able to train with small datasets, though not always optimally. With large datasets results are outstanding.
What are some alternatives?
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
hifigan-denoiser - HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
cycle-gan-pytorch - This repository contains an implementation of the Cylce-GAN architecture for style transfer along with instructions to train on an own dataset.
SDV - Synthetic data generation for tabular data
deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
style-aware-discriminator - CVPR 2022 - Official PyTorch implementation of "A Style-Aware Discriminator for Controllable Image Translation"
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
ALAE - [CVPR2020] Adversarial Latent Autoencoders
vision-aided-gan - Ensembling Off-the-shelf Models for GAN Training (CVPR 2022 Oral)