htm.core
Augustus
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htm.core | Augustus | |
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1 | 1 | |
144 | 263 | |
2.1% | 5.3% | |
4.4 | 5.0 | |
2 months ago | 5 days ago | |
C++ | C++ | |
GNU Affero General Public License v3.0 | - |
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htm.core
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How Computationally Complex Is a Single Neuron?
OK I am still parsing the pre-print, but their approach seems very interesting. And equally interesting would be to see what happens if you apply HTM [1] to the same inputs model, _e.g._:
> We next applied our paradigm to a morphologically and electrically complex detailed biophysical compartmental model of a 3D reconstructed layer 5 cortical pyramidal cell (L5PC) from rat somatosensory cortex (Fig. 2A). The model is equipped with complex nonlinear membrane properties, a somatic spike generation mechanism and an excitable apical nexus capable of generating calcium spikes
[1] https://github.com/htm-community/htm.core
Augustus
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Cross-species functional annotation?
I use the Augustus tool to annotate a genome. You can give it a species to base the annotation model on. https://github.com/Gaius-Augustus/Augustus
What are some alternatives?
chess-deep-rl-cpp - C++ version of my chess-deep-rl project. WIP
Liftoff - An accurate GFF3/GTF lift over pipeline
cppflow - Run TensorFlow models in C++ without installation and without Bazel
deeplabel - A cross-platform desktop image annotation tool for machine learning
ITK - Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
ksnip - ksnip the cross-platform screenshot and annotation tool
AnoGraph - Sketch-Based Anomaly Detection in Streaming Graphs
ksnip - ksnip the cross-platform screenshot and annotation tool [Moved to: https://github.com/ksnip/ksnip]
bergamot-translator - Cross platform C++ library focusing on optimized machine translation on the consumer-grade device.
PGA - Plastid Genome Annotator
Seayon - Open source Neural Network library in C++
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.