PassGAN
ailia-models
| PassGAN | ailia-models | |
|---|---|---|
| 3 | 4 | |
| 1,691 | 1,840 | |
| - | 3.2% | |
| 0.0 | 9.8 | |
| about 1 year ago | 4 days ago | |
| Python | Python | |
| MIT License | - |
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
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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.
ailia-models
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10$ Full Body Tracking! I'm proud to release ToucanTrack (in Beta!). Get decent FBT with the power of 2 PS3 Eye Cameras and AI!
If you're looking for the differences in terms of how inference is done, I recommend you take a look at MediaPipe's source code. MediaPipe doesn't use raw code, but uses a "graph" instead (eg. pose_landmark_cpu.pbtxt), which can be visualised using MediaPipe Viz. I also used axinc-ai/ailia-models as the base (preprocessing, inference, postprocessing, etc...) which I further built upon (keypoint refinement, roi from keypoints, filtering / smoothing, etc...)
- [P] A collection of pre-trained, state-of-the-art AI models
- Ailia-models: A collection of pre-trained, state-of-the-art AI models
What are some alternatives?
joliGEN - Generative AI Image Toolset with GANs and Diffusion for Real-World Applications
DeepCamera - Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
Put-In-Context - Putting Visual Object Recognition in Context
SDV - Synthetic data generation for tabular data
robotics-level-4 - This repo contains projects created using TensorFlow-Lite on Raspberry Pi and Teachable Machine. AI and ML capabilities have been integrated with Robot's software.
mlapi - An easy to use/extend object recognition API you can locally install. Python+Flask. Also works with ZMES!
PeekingDuck - A modular framework built to simplify Computer Vision inference workloads.
Video-Dataset-Loading-Pytorch - Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
UNINEXT - [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval