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zeitgeistqian's Projects

3d_gan_tensorflow icon 3d_gan_tensorflow

Generating 3D Voxel Models with Generative Adversarial Networks - Implemented in Tensorflow

acai icon acai

Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"

advbox icon advbox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

ali icon ali

Adversarially Learned Inference

alice icon alice

Adversarially Learned Inference with Conditional Entropy (ALICE)

apdrawinggan icon apdrawinggan

Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)

arbitrary_style_transfer icon arbitrary_style_transfer

Fast Neural Style Transfer with Arbitrary Style using AdaIN Layer - Based on Huang et al. "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"

autodl icon autodl

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

avatarify icon avatarify

Avatars for Zoom, Skype and other video-conferencing apps.

awesome icon awesome

😎 Awesome lists about all kinds of interesting topics

awesome-automl-papers icon awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

began-tensorflow icon began-tensorflow

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

bolt icon bolt

Bolt is a deep learning toolbox with high performance and heterogeneous flexibility.

cartoongan-tensorflow icon cartoongan-tensorflow

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

cdp icon cdp

Code for our ECCV 2018 work.

cleverhans icon cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

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