6785 Open source projects that are alternatives of or similar to Pytorch Book

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

🙄 Difficult algorithm, Simple code.

Synthetic Data Generation for tabular, relational and time series data.

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

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

Start Tensorboard in Jupyter Notebook

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Gluon CV Toolkit

Lightweight implementation of neural style in Pytorch with SqueezeNet

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

European Distributed Deep Learning (EDDL) library. A general-purpose library initially developed to cover deep learning needs in healthcare use cases within the DeepHealth project.

pytorch 包教不包会

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

TensorFlow implementation for audio neural style.

A course in reinforcement learning in the wild

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

a tensorflow implementation of WGAN

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

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Pytorch easy-to-follow Capsule Network tutorial

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Best Practices, code samples, and documentation for Computer Vision.

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

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Visualization of GAN training process

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

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

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Grokking Deep Reinforcement Learning

Little More Advanced TensorFlow Implementations

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

Solve captcha without manually labeling a training set

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

由淺入深的深度學習資源 Collection of deep learning materials for everyone

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

Efficient Learning of Augmentation Policy Schedules

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

猫狗大战

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Food Classification with Deep Learning in Keras / Tensorflow

A collection of deep learning tutorials using Tensorflow and Python

Code for Tensorflow Machine Learning Cookbook

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Implementation of the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels"

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

The implementation of Relativistic average GAN with Keras

This is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]