keras2cpp
cppflow
| keras2cpp | cppflow | |
|---|---|---|
| 3 | 9 | |
| 675 | 762 | |
| - | - | |
| 10.0 | 0.0 | |
| about 4 years ago | 12 days ago | |
| C++ | C++ | |
| MIT License | MIT License |
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.
keras2cpp
- Way to convert keras based model to C++.
- Handwritten digit recognition using CircuitPython, Raspberry Pi Pico, OV7670 and 120x160 TFT LCD. r/circuitpython - Handwritten digit recognition using CircuitPython, Raspberry Pi Pico, OV7670 and 120x160 TFT LCD.
-
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
cppflow
- Easily run TensorFlow models from C++
-
[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.
-
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
-
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.
-
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 :)
-
[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.
-
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.
-
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.
-
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?
keras-onnx - Convert tf.keras/Keras models to ONNX
examples - TensorFlow examples
keras2c - A simple library to deploy Keras neural networks in pure C for realtime applications
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
frugally-deep - A lightweight header-only library for using Keras (TensorFlow) models in C++.
qt-tf-lite-example - Qt TensorFlow Lite example
keras2cpp - it's a small library for running trained Keras 2 models from a native C++ code.
ssd_keras - A Keras port of Single Shot MultiBox Detector
emlearn - Machine Learning inference engine for Microcontrollers and Embedded devices
DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
tensorflow - An Open Source Machine Learning Framework for Everyone
entt - Gaming meets modern C++ - a fast and reliable entity component system (ECS) and much more