《Pytorch实用教程——第二版》无论是零基础入门，还是进阶工程化部署落地，在这里都有。相信在本书的帮助下，你将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。

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

Deep Learning Tutorials with Pytorch

TorcHood is a user-friendly wrapper for PyTorch & PyTorch lightning that makes neural network training effortless. It provides features such as LR finder, grad cam, and training history. It also supports sample models and datasets for rapid prototyping. TorcHood is an open-source project that welcomes contributions from anyone.

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

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

This repository contains the collection of explorative notebooks pure in python and in the language that we, humans can read. Have tried to compile all lectures from the Andrej Karpathy's 💎 playlist on Neural Networks - which we will end up with building GPT.

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Explanation of Pytorch Hooks

Pytorch fundamental to advance notes with codes

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

This is the new and official repository for the PyTorch machine learning crash course.

Implemented basic deep learning models using PyTorch

PyTorch implementation of the transformer deep neural network model architecture presented in the paper "Attention Is All You Need"

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

This is the repository for the PyTorch machine learning crash course.

A resource for learning about Machine learning & Deep Learning

PyTorch Tutorial for Deep Learning Researchers

This project is a convolutional neural network (CNN) built using PyTorch that classifies images from the Fashion-MNIST dataset. The network consists of several layers including convolutional layers, pooling layers, and fully connected layers. The model achieved an accuracy of 92.1%

This is where I keep my studies for Deep Learning with PyTorch

The full collection of all codes for my Youtube Channel segregated as per topic.

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/

Learning

Introduction to PyTorch: A comprehensive Chinese course available at the provided link.

carrier of tricks for image classification tutorials using pytorch.

Kaggle竞赛，狗的品种分类问题入门教程，比赛链接在 https://www.kaggle.com/c/dog-breed-identification/overview

国内最新Pytorch项目标准一键配置环境模板，解决一切配置环境疑难杂症

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

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