93 Open source projects that are alternatives of or similar to Pytorch Cnn Adversarial Attacks

pytorch tutorial for beginners

Some example scripts on pytorch

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Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

PyData Global Tutorial on Data Patterns and OOP abstractions for Deep Learning using PyTorch

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

Simple Tutorials & Code Implementation of fast-style-transfer(Perceptual Losses for Real-Time Style Transfer and Super-Resolution, 2016 ECCV) using PyTorch.

Important paper implementations for Question Answering using PyTorch

Implementation of Conditional Generative Adversarial Networks in PyTorch

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

PyTorch深度学习快速入门教程（绝对通俗易懂！）

Check out improved:

This is code of book "Learn Deep Learning with PyTorch"

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

pytorch 包教不包会

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

PyTorch KR Tutorial Competition 2018

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

Pytorch implementation of DeepDream on VGG16 Network

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

Example code to create and train a Pytorch model using the new C++ frontend.

A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. Docs: https://pytorch-accelerated.readthedocs.io/en/latest/

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

🇰🇷파이토치에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)

PyTorch 1.0 官方文档 中文版，欢迎关注微信公众号：磐创AI

Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

Demo code for Attention-Aware Generative Adversarial Networks paper

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

验证码识别

用例子学习PyTorch1.0（Learning PyTorch with Examples 中文翻译与学习）

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

Pytorch deep learning face frontalization model

Awesome Pytorch Tutorials

A unified ensemble framework for Pytorch to improve the performance and robustness of your deep learning model

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

Notebooks for learning about the layers of a convolutional neural network.

[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

Numerical Computation of Receptive Field in Pytorch

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

PyTorch1.0 深度学习：60分钟入门与实战（Deep Learning with PyTorch: A 60 Minute Blitz 中文翻译与学习）

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

Learn how to use PyTorch to solve some common NLP problems with deep learning.

Pytorch starter kit for Kaggle competitions

All My Pytorch projects reside here

Duke Natural Language Processing Winter School 2020