Official implementation of ID-unaware Deepfake Detection Model
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Updated
Aug 15, 2023 - C++
Official implementation of ID-unaware Deepfake Detection Model
A C++ implementation to create, visualize and train Convolutional Neural Networks
Latte is a convolutional neural network (CNN) inference engine written in C++ and uses AVX to vectorize operations. The engine runs on Windows 10, Linux and macOS Sierra.
A native CNN-based face detection for .NET Standard. Easy setup and no dependencies. Runs on Windows and Linux
OpenCV C++ model for free parking lot detection with python Tensorflow CNN classifier.
High-Performance Memory Optimal CNN
Some basic CNN-based games controlled by hand poses.
CNN implemented without the use of any libraries
Simple onnxruntime example using C++ API. Inferring MNIST dataset samples and show results.
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