strv-ml-mask2face
SPOT-RNA
| strv-ml-mask2face | SPOT-RNA | |
|---|---|---|
| 1 | 1 | |
| 52 | 86 | |
| - | - | |
| 0.0 | 10.0 | |
| almost 3 years ago | over 1 year ago | |
| Jupyter Notebook | Perl | |
| MIT License | Mozilla Public License 2.0 |
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.
strv-ml-mask2face
-
[P] Mask2Face: How We Built AI That Shows the Face Beneath the Mask
And here is the link to the project on GitHub: https://github.com/strvcom/strv-ml-mask2face
SPOT-RNA
-
Can I get dot-bracket notation from a .bpseq file?
Hello. I'm playing around with the tool SPOT-RNA which generates `.bpseq`, `.ct`, and `.prob` files when given a `.fasta` file. Optionally, I can pass the tool `--plots True` to generate image files of the secondary structure, but I actually just want a text version of the secondary structure in dot-bracket notation. Is there a way to derive this format from one of the output files? I'm pretty new to biology (my background is software engineering and CS) so if there's something obvious, it's over my head.
What are some alternatives?
lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Gradient-Samples - Samples for TensorFlow binding for .NET by Lost Tech
Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.
Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
pytorch2keras - PyTorch to Keras model convertor
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
DeepFake-Detection - Towards deepfake detection that actually works
pix2seq - Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)
Naruto_Handsign_Classification - Naruto Hand Gesture Recognition with OpenCV and Transfer Learning
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
jax-resnet - Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).