GLOM-TensorFlow
image-quality-assessment
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GLOM-TensorFlow | image-quality-assessment | |
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4 | 2 | |
36 | 2,003 | |
- | 1.9% | |
0.0 | 0.0 | |
about 3 years ago | 4 months ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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GLOM-TensorFlow
- Implementing Geoffrey Hinton's latest paper
- Implementing Geoffrey Hinton's latest idea paper
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Implementing part-whole hierarchies in neural networks
I am glad to today present my attempt to implement Geoffery Hinton's latest idea paper about representing part-whole hierarchies in neural networks. Also doing ML more the way the human brain does it! https://github.com/Rishit-dagli/GLOM-TensorFlow
- Implementing part-whole hierarchies in Neural Nets
image-quality-assessment
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And so it begins: AI(Midjourney) wins art competition without anyone realising.
It's an ongoing research area, but here's a Google model that assigns images ratings based on how good they look. It's pretty good, and it's from 2019 so not even close to state of the art. Paired with Stable Diffusion, it could indeed curate itself. I might have to try that actually.
- Extracting Images from Video
What are some alternatives?
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
student-teacher-anomaly-detection - Student–Teacher Anomaly Detection with Discriminative Latent Embeddings
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
DarkMark - Marking up images for use with Darknet.
efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.
imagededup - 😎 Finding duplicate images made easy!
wtte-rnn - WTTE-RNN a framework for churn and time to event prediction
These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁
cnn-raccoon - Create interactive dashboards for your Convolutional Neural Networks with a single line of code!
head-pose-estimation - Realtime human head pose estimation with ONNXRuntime and OpenCV.
efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.