Gradient-Samples VS SPOT-RNA

Compare Gradient-Samples vs SPOT-RNA and see what are their differences.

Gradient-Samples

Samples for TensorFlow binding for .NET by Lost Tech (by losttech)
tensorflow-binding Tensorflow tensorflow-tutorials tensorflow-examples C# .NET Deep Learning resnet gpt-2 Cnn Lstm rl reinforcement-learning unity-ml-agents unity-ml Fsharp Cross-Platform
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SPOT-RNA

RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning. (by jaswindersingh2)
rna rna-secondary-structure Deep Learning transfer-learning ensemble-model resnet blstm-neural-networks Tensorflow rna-secondary-structure-prediction canonical-base-pairs noncanonical-base-pairs pseudoknot-base-pairs pdb-dataset bprna-dataset multiplets-base-pairs lone-pairs Machine Learning rna-structure rna-structural-analysis rna-structure-motifs
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apisz.sparks-lab.org:8443
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Gradient-Samples SPOT-RNA
- 1
61 86
- -
0.0 10.0
over 1 year ago over 1 year ago
C# Perl
MIT License Mozilla Public License 2.0
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Gradient-Samples

Posts with mentions or reviews of Gradient-Samples. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Gradient-Samples yet.
Tracking mentions began in Dec 2020.

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?
    1 project | /r/bioinformatics | 2 Jul 2023
    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 Gradient-Samples and SPOT-RNA you can also consider the following projects:

Stanford.NLP for .NET - Stanford NLP for .NET

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

samples - Sample code referenced by the .NET documentation

pytorch2keras - PyTorch to Keras model convertor

Curryfy - Provides strongly typed extensions methods for C# delegates to take advantages of functional programming techniques, like currying and partial application.

DeepFake-Detection - Towards deepfake detection that actually works

Avalonia - Develop Desktop, Embedded, Mobile and WebAssembly apps with C# and XAML. The most popular .NET UI client technology

strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath

ShopifySharp - ShopifySharp is a .NET library that helps developers easily authenticate with and manage Shopify stores.

Naruto_Handsign_Classification - Naruto Hand Gesture Recognition with OpenCV and Transfer Learning

RoboLeague - A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

jax-resnet - Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

Gradient-Samples vs Stanford.NLP for .NET SPOT-RNA vs One-Piece-Image-Classifier Gradient-Samples vs samples SPOT-RNA vs pytorch2keras Gradient-Samples vs Curryfy SPOT-RNA vs DeepFake-Detection Gradient-Samples vs Avalonia SPOT-RNA vs strv-ml-mask2face Gradient-Samples vs ShopifySharp SPOT-RNA vs Naruto_Handsign_Classification Gradient-Samples vs RoboLeague SPOT-RNA vs jax-resnet