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

一个执着于让CPU\端侧-Model逼近GPU-Model性能的项目，CPU上的实时率(RTF)小于0.1

tensorflow c++ example for VS2015

Training a Tensorflow graph in C++

combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems

Build Tensorflow C++ API, load a SavedModel and serve predictions

Guide for building TensorFlow C++ API

C++ example applications for deploying deep learning models using frameworks like PyTorch, Tensorflow, ONNX, NCNN.

About object detection(mobileNet-ssd) tensorflow/language:c++

PRNet inference stage in C++11/14

Tensorflow Cpp API Application

C++ example applications for deploying deep learning models using frameworks like PyTorch, Tensorflow, ONNX, NCNN.

Simple breakout game with DQN agent which learn how to play it.

Compile Tensorflow C++ without Bazel, You could create a C++ Tensorflow project in your favorite C++ IDEs and build it with Makefile or CMake and you will need to do some extra work to allow gcc to be able to compile successfully C++ Tensorflow codes. So you don't have to compile with bazel! It also approachs a method that Import OpenCV Mat into…