#计算机科学#PyTorch Tutorial for Deep Learning Researchers
#自然语言处理#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。
#计算机科学#Build your neural network easy and fast, 莫烦Python中文教学
#计算机科学#A resource for learning about Machine learning & Deep Learning
#计算机科学#Lab Materials for MIT 6.S191: Introduction to Deep Learning
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
#计算机科学#It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers...
#自然语言处理#Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
#大语言模型#《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
#计算机科学#🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
This is code of book "Learn Deep Learning with PyTorch"
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
#计算机科学#验证码识别
#自然语言处理#머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
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！
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"