176 Open source projects that are alternatives of or similar to Deep Tutorials For Pytorch

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。

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

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

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

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

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!

This is an open sourced book on deep learning.

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

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

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!

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

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

🔥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 community run, 5-day PyTorch Deep Learning Bootcamp

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

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）

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

🔥 Reproducibly benchmarking Keras and PyTorch models

PyTorch从入门到精通

Pytorch seq2seq chatbot

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Implementing Siamese networks with a contrastive loss for similarity learning

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

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

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

A course in reinforcement learning in the wild

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

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

A best practice for tensorflow project template architecture.

Pytorch easy-to-follow Capsule Network tutorial

A curated list of awesome Deep Learning tutorials, projects and communities.

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

Pytorch implementation of convolutional neural network adversarial attack techniques

Grokking Deep Reinforcement Learning

pytorch 包教不包会

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

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

📡 Simple and ready-to-use tutorials for TensorFlow

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

Notes and experiments to understand deep learning concepts

Complete path for a beginner to become a Machine Learning Scientist!

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

PyTorch Tutorial for Deep Learning Researchers

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

Pytorch starter kit for Kaggle competitions

Some tricks of pytorch... ⭐️

Deep Learning Tutorials for 10 Weeks

Примеры для курса "Программирование глубоких нейронных сетей на Python"

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Train a state-of-the-art yolov3 object detector from scratch!

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

Check out improved:

Descriptive Deep Learning

A best practice for deep learning project template architecture.

Github repo with tutorials to fine tune transformers for diff NLP tasks

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