Sign-Language-Interpreter-using-Deep-Learning
image-quality-assessment
| Sign-Language-Interpreter-using-Deep-Learning | image-quality-assessment | |
|---|---|---|
| 1 | 2 | |
| 468 | 2,003 | |
| - | 1.2% | |
| 0.0 | 0.0 | |
| 16 days ago | 5 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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Sign-Language-Interpreter-using-Deep-Learning
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AI tool to convert ASL(American Sign language) into English.
While I could not find that one exactly, I did find this
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?
head-pose-estimation - Realtime human head pose estimation with ONNXRuntime and OpenCV.
student-teacher-anomaly-detection - Student–Teacher Anomaly Detection with Discriminative Latent Embeddings
Breast-Cancer-Detection-Mammogram-Deep-Learning-Publication - Code for published article in PLOS ONE. Breast cancer detection in mammograms using DL techniques. Contains source code for data and methods used.
GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
DarkMark - Marking up images for use with Darknet.
imagededup - 😎 Finding duplicate images made easy!
These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.
easytorch - EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.
cnn-in-welding - Detecting Faults and Measuring Severity in Welding using Radiographic Images
MAX-Image-Resolution-Enhancer - Upscale an image by a factor of 4, while generating photo-realistic details.