PassGAN
SDV
| PassGAN | SDV | |
|---|---|---|
| 3 | 59 | |
| 1,691 | 2,141 | |
| - | 2.4% | |
| 0.0 | 9.4 | |
| about 1 year ago | 6 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
PassGAN
- Dónde o como puedo aprender a hackear redes wifi
-
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.
SDV
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Synthetic data generation for tabular data
Can someone help me understand the licensing of this?
https://github.com/sdv-dev/SDV/blob/main/LICENSE
It was MIT licensed up until 2022 where it was changed to what it is now, where they say that it will become MIT again 4 years after release... but is that from when the license was changed or the first release of the software in GitHub?
- SDV: NEW Data - star count:1441.0
- FLaNK Stack Weekly for 30 April 2023
- SDV: NEW Data - star count:1196.0
What are some alternatives?
joliGEN - Generative AI Image Toolset with GANs and Diffusion for Real-World Applications
CTGAN - Conditional GAN for generating synthetic tabular data.
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
tsfresh - Automatic extraction of relevant features from time series:
Copulas - A library to model multivariate data using copulas.
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python
EigenGAN-Tensorflow - EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
genalog - Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
HR-Attrition - Will they stay or will they go? Predicting whether employees will leave + why.