htm.core
cppflow
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| htm.core | cppflow | |
|---|---|---|
| 1 | 9 | |
| 144 | 759 | |
| 2.1% | - | |
| 4.4 | 0.0 | |
| about 2 months ago | 11 months ago | |
| C++ | C++ | |
| GNU Affero General Public License v3.0 | MIT License |
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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.
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
cppflow
- Easily run TensorFlow models from C++
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[P] libtensorflow_cc: Pre-built TensorFlow C++ API
It’s been awhile since I’ve looked at it, so not sure how hard it would be to get to work. I only commented since you mentioned that you would support other operating systems. For others interested in cross platform support there is also cppflow.
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Deep learning classification with C++
what about start with keras and convert model to c++ ? https://github.com/pplonski/keras2cpp https://github.com/serizba/cppflow
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Using embedding model in C++ app
My solution so far: I am using a compiled Tensorflow C DLL in combination with cppflow (https://github.com/serizba/cppflow). However, I get problems when I take models which use operations from the tensorflow_text python module since I don’t know how to get their C++ API.
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What is the most used library for AI in C++ ?
I use cppflow to run compiled tensorflow models natively in C++. It works like a charm :)
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[Python] Importing a TensorFlow AI?
I toyed around with this idea a while back but I never got around to finishing the implementation. If all you need is inference with no training and you are relatively familiar with c++ you could look into creating a module for Godot that interfaces with the Tensorflow C API. Something like cppflow would provide an even easier API to work with. Looking into that project could also explain how they interface with the Tensorflow C API if you'd rather cut out the middle man. A module like this would let you train your model in Python and then load it and perform inference in Godot natively.
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Simplest way to deploy Keras NN model into C++?
If your re using keras with TensorFlow you can save it as a saved model format and then you can easily use cppflow to perform inference with it.
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I trained a Neural Network to understand my commands when playing my game
The whole game is written in C++ using SFML for the graphics, entt as Entity-Component-System and tensorflow for the Neural Network. Tensorflow itself is written in C, so I use cppflow to integrate it into my C++ framework.
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TF-agent with C/C++ environment
Found this which seems more recent (uses TF 2, updated 4 days ago): https://github.com/serizba/cppflow
What are some alternatives?
chess-deep-rl-cpp - C++ version of my chess-deep-rl project. WIP
examples - TensorFlow examples
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.
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
AnoGraph - Sketch-Based Anomaly Detection in Streaming Graphs
qt-tf-lite-example - Qt TensorFlow Lite example
bergamot-translator - Cross platform C++ library focusing on optimized machine translation on the consumer-grade device.
keras2cpp - This is a bunch of code to port Keras neural network model into pure C++.
Seayon - Open source Neural Network library in C++
ssd_keras - A Keras port of Single Shot MultiBox Detector
MStream - Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
emlearn - Machine Learning inference engine for Microcontrollers and Embedded devices