gan
Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.
Here are 22 public repositories matching this topic...
CPU & GPU highly optimized implementation for StyleGAN2 inference
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Oct 9, 2025 - C++
NLP Modeling for Paraphrase Generation
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Jun 22, 2022 - C++
Naive implementation of the generative adversarial network (GAN) training written in c++ using mxnet cpp API
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Jul 27, 2021 - C++
Code du GAN du groupe Couleuvre (C++)
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Jun 24, 2018 - C++
A MNIST GAN implemented from scratch in C++
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Jun 18, 2022 - C++
Implementation of Face Portrait v2 Model on Android plaform using NCNN framework
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Dec 15, 2023 - C++
Inference of a train CycleGAN model applied to a live viewfinder. Using TFLite
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Jul 6, 2018 - C++
GFPGAN face reconstruction with ncnn on a bare Raspberry Pi
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Jan 4, 2023 - C++
Nebula: Deep Neural Network Benchmarks in C++
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Jan 2, 2025 - C++
DCGAN Implementation using PyTorch in both C++ and Python
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May 22, 2020 - C++
Caffe/C++ implementation of Boundary Equilibrium Generative Adversarial Networks paper for face generation
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Aug 25, 2017 - C++
Unofficial implementation of StyleGAN's generator
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Dec 18, 2019 - C++
C++ implementation of neural networks library with Keras-like API. Contains majority of commonly used layers, losses and optimizers. Supports sequential and multi-input-output (flow) models. Supports single CPU, Multi-CPU and GPU tensor operations (using cuDNN and cuBLAS).
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May 22, 2021 - C++
Building generative models for synthesizing and analyzing volume-rendered images
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Aug 27, 2018 - C++
A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)
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Jul 18, 2019 - C++
PSGAN running with ncnn⚡妆容迁移/仿妆⚡Imitation Makeup/Makeup Transfer⚡
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Oct 30, 2021 - C++
Released June 10, 2014
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