《深度学习与计算机视觉》配套代码
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Updated
Nov 30, 2020 - Python
《深度学习与计算机视觉》配套代码
Algorithms for outlier, adversarial and drift detection
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
An information security preparedness tool to do adversarial simulation.
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
Crafting adversarial images
Stochastic Adversarial Video Prediction
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
💡 Adversarial attacks on explanations and how to defend them
Adversarial Training for Natural Language Understanding
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
Code and pretrained models for paper: Data-Free Adversarial Distillation
Adversarial Texture Optimization from RGB-D Scans (CVPR 2020).
Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/
Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
A checkers reinforcement learning AI, and all the tools needed to train it.
A PyTorch implementation of adversarial pose estimation for multi-person
[Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric Medical Image Segmentation
Create adversarial images to fool a MNIST classifier in TensorFlow
Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"
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