A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
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Nov 22, 2019 - Python
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generative-adversarial-net
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PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)
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Nov 1, 2020 - Jupyter Notebook
《对抗演化与合作跃升》大大简化了几十亿年来生命演化中重要事件和关键节点的理解。包括真核生命的出现、多细胞生命的形成（寒武纪的秘密）、人类的由来、国家的兴起等。它也有助于理解所有人类社会活动中的重要事物的本质，包括宗教、法律、市场经济等。而民族之兴衰、帝国之国运、文明的兴亡也能从中得到解释。这套理论不仅具有宏观的视野，更是跟我们的社会生活息息相关，它蕴含着人类作为一种最成功的生命形态的真正有效的成功学。当人类深刻理解了这套理论，人类就能更好地把握自己未来的命运。
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Mar 6, 2025
Repository for my 2018 summer internship at GDP Labs, Indonesia about Generative Adversarial Network
generative-adversarial-network gan structured-data dataset-generation generative-adversarial-networks categorical-data generative-adversarial-net numerical-data
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Sep 7, 2018 - Jupyter Notebook
A GAN made Tensorflow that generates 128 x 128 pixels images
python machine-learning tensorflow generative-adversarial-network tensorflow-tutorials deeplearning generative-adversarial-net
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Apr 1, 2018 - Python
This repo implements a simple GAN with fc layers and trains it on MNIST
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Feb 6, 2024 - Python
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