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本项目主要为针对DPCNN（Deep Pyramid Convolutional Neural Networks for Text Categorization ）文本分类（Text Classification）的论文复现以及基于知乎看山杯Inception的修改和复现，后者效果略优。
The aim of this repository is to show a baseline model for text classification through convolutional neural networks in the PyTorch framework. The architecture implemented in this model was inspire…
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
[NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
Learning Chinese Character style with conditional GAN
Synthesizing and manipulating 2048x1024 images with conditional GANs
StyleGAN2-ADA - Official PyTorch implementation
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
PyTorch Implementation of Data Augmentation GAN (originally proposed in arXiv:1711.04340)
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
[ICLR'21] Counterfactual Generative Networks
Discovering Interpretable GAN Controls [NeurIPS 2020]
TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).
A novel data-free model stealing method based on GAN
Implement efficient jacobian method available for most pytorch networks
Generative Adversarial Networks implemented in PyTorch and Tensorflow
Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)
Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (Fredrikson Et al.)
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Image Classification with `sklearn.svm`
Official Pytorch implementation of CutMix regularizer
A modular active learning framework for Python