libtensorflow_cc vs tensorflow_cpp

libtensorflow_cc

Pre-built libtensorflow_cc.so and Docker Images for TensorFlow C++ API (by ika-rwth-aachen)

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tensorflow_cpp

Helpful model wrappers around TensorFlow C++ API (by ika-rwth-aachen)

CPP Helper Ros Tensorflow

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libtensorflow_cc		tensorflow_cpp
	Project
1	Mentions	2
52	Stars	18
-	Growth	-
7.5	Activity	5.3
4 months ago	Latest Commit	4 months ago
Dockerfile	Language	C++
MIT License	License	MIT License

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

libtensorflow_cc

Posts with mentions or reviews of libtensorflow_cc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-20.

[P] libtensorflow_cc: Pre-built TensorFlow C++ API
5 projects | /r/MachineLearning | 20 Oct 2022

git clone https://github.com/ika-rwth-aachen/libtensorflow_cc.git && \ cd libtensorflow_cc && \ docker run --rm \ --volume $(pwd)/example:/example \ --workdir /example \ rwthika/tensorflow-cc:latest \ ./build-and-run.sh

tensorflow_cpp

Posts with mentions or reviews of tensorflow_cpp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-20.

[P] libtensorflow_cc: Pre-built TensorFlow C++ API
5 projects | /r/MachineLearning | 20 Oct 2022

Looks like tfcompile still exists, but I have never used it myself. Doesn't look to be much better documented than the C++ API itself. The full C++ API of course gives you way more flexibility and doesn't involve this special process of compiling a specific model. We have been pretty happy with our additional wrapper library tensorflow_cpp, allowing us to easily load arbitrary frozen graphs and saved models for inference.

What are some alternatives?

When comparing libtensorflow_cc and tensorflow_cpp you can also consider the following projects:

cppflow - Run TensorFlow models in C++ without installation and without Bazel

dockerdl - Deep Learning Docker Image

gz-sim - Open source robotics simulator. The latest version of Gazebo.

amp-devcontainer - amp-devcontainer is a fully loaded devcontainer useable for, embedded, C++ or Rust development

DynamixelSDK - ROBOTIS Dynamixel SDK (Protocol1.0/2.0)

sagemaker-distribution - A set of Docker images that include popular frameworks for machine learning, data science and visualization.

diffbot - DiffBot is an autonomous 2wd differential drive robot using ROS Noetic on a Raspberry Pi 4 B. With its SLAMTEC Lidar and the ROS Control hardware interface it's capable of navigating in an environment using the ROS Navigation stack and making use of SLAM algorithms to create maps of unknown environments.

tensorflow - An Open Source Machine Learning Framework for Everyone

ifopt - An Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)