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The Top 23 Convolutional Neural Networks Generative Adversarial Network Open Source Projects

Open source projects categorized as Convolutional Neural Networks Generative Adversarial Network
Categories > Machine Learning > Convolutional Neural Networks
Categories > Machine Learning > Generative Adversarial Network
Deep_learning_projects ⭐ 28
most recent commit 3 years ago
Zeta Learn ⭐ 27
zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
total releases 15most recent commit 4 years ago
Tensorflow Srgan ⭐ 26
Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
most recent commit 5 years ago
Pulmonary Nodule Detection Based On Deep Learning ⭐ 25
Using U-net, 3D CNN and cGAN to accomplish Pulmonary Nodule Detection. Also it's my undergraduate research program.
most recent commit a year ago
Pytorch Practice ⭐ 25
pytorch basic
most recent commit 5 years ago
Tensorbag ⭐ 24
Collection of tensorflow notebooks tutorials for implementing the most important Deep Learning algorithms.
most recent commit 6 years ago
Dcgan For Psychonauts ⭐ 24
Use DCGAN to create trippy videos
most recent commit 3 years ago
Ai Classification ⭐ 24
Open source Artificial Intelligence for COVID-19 detection/early detection. Includes Convolutional Neural Networks (CNN) & Generative Adversarial Networks (GAN)
most recent commit 4 years ago
Pytorch Domain Adaptation ⭐ 24
Unofficial pytorch implementation of algorithms for domain adaptation
most recent commit 6 years ago
Deep Learning Visuals ⭐ 24
A collection of 100 Deep Learning images and visualizations
most recent commit 3 years ago
Multiscale Adversarial Attention Gates ⭐ 24
Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
most recent commit 2 years ago
Keras_tutorial ⭐ 23
most recent commit 2 years ago
Convolutionaneuralnetworkstoenhancecodedspeech ⭐ 22
In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral domain features. The proposed postprocessors in both domains are evaluated for various narrowband and wideband speech codecs in a wide range of conditions
most recent commit 4 years ago
Awesome Deep Learning ⭐ 21
深度学习资料
most recent commit 4 years ago
Mybook ⭐ 21
most recent commit 4 years ago
Pix2pix Tensorflow ⭐ 19
A minimal tensorflow implementation of pix2pix (Image-to-Image Translation with Conditional Adversarial Nets - https://phillipi.github.io/pix2pix/).
most recent commit 6 years ago
Vision ⭐ 19
Vision 👀
most recent commit 7 months ago
Deeplearning Course ⭐ 18
My exercises in the deep learning course
most recent commit a year ago
Dnn_from_scratch ⭐ 18
A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
most recent commit 3 years ago
Vision2022 ⭐ 18
Slides of "Machine Vision" course by Zhejiang University Student Smart Factory Innovation Club 浙江大学学生智能工厂创新俱乐部《智能工厂软机器视觉教学》社团精品课程
most recent commit 10 months ago
Pytorch Hanbit ⭐ 17
most recent commit 6 years ago
Simple Implementation Of Ml Algorithms ⭐ 17
My simplest implementations of common ML algorithms
most recent commit 10 months ago
Deeplearning ⭐ 17
deeplearning tour
most recent commit 6 years ago
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