Naruto_Handsign_Classification
Naruto Hand Gesture Recognition with OpenCV and Transfer Learning (by yaxan)
SPOT-RNA
RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning. (by jaswindersingh2)
Naruto_Handsign_Classification | SPOT-RNA | |
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1 | 1 | |
22 | 91 | |
- | - | |
0.0 | 10.0 | |
over 1 year ago | over 1 year ago | |
Python | Perl | |
- | Mozilla Public License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.
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.
Naruto_Handsign_Classification
Posts with mentions or reviews of Naruto_Handsign_Classification.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Naruto Hand Seal Classifier
The repo is https://github.com/yaxan/Naruto_Handsign_Classification
SPOT-RNA
Posts with mentions or reviews of SPOT-RNA.
We have used some of these posts to build our list of alternatives
and similar projects.
-
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?
When comparing Naruto_Handsign_Classification and SPOT-RNA you can also consider the following projects:
awesome-hand-pose-estimation - Awesome work on hand pose estimation/tracking
Gradient-Samples - Samples for TensorFlow binding for .NET by Lost Tech
assembled-cnn - Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.
pytorch2keras - PyTorch to Keras model convertor
DeepFake-Detection - Towards deepfake detection that actually works
strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath
jax-resnet - Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).