ncnn is a high-performance neural network inference framework optimized for the mobile platform

Machine learning on FPGAs using HLS

A lightweight header-only library for using Keras (TensorFlow) models in C++.

Samples and Tools for Windows ML.

A uniform interface to run deep learning models from multiple frameworks

This is a bunch of code to port Keras neural network model into pure C++.

A library for high performance deep learning inference on NVIDIA GPUs.

Neural network-based chess engine capable of natural language commentary

Highly optimized inference engine for Binarized Neural Networks

3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).

it's a small library for running trained Keras 2 models from a native C++ code.

Autonomous Racing Car using NVIDIA Jetson TX2 using end-to-end driving approach. Paper: https://arxiv.org/abs/1604.07316

C and C++ examples for tensorflow

Edge : a computing engine base C++/C

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

Run Keras models from a C++ application on embedded devices

Calling (TensorFlow) Python Program from C++

This repository contains code and writeups for projects and labs completed as a part of UDACITY's first of it's kind self driving car nanodegree program.

A Dense Text Detection model using Receptive Field Blocks