PyTorch Tutorial for Deep Learning Researchers
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Updated
Aug 15, 2023 - Python
PyTorch Tutorial for Deep Learning Researchers
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。
Build your neural network easy and fast, 莫烦Python中文教学
A resource for learning about Machine learning & Deep Learning
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
This is code of book "Learn Deep Learning with PyTorch"
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
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!
验证码识别
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
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