搜索资源列表
pytorch-adda-master
- 迁移学习框架ADDA, python 代码，整体可运行(a framework of transfer learning)
DPSH-pytorch-master
- 实现dpsh程序，让你6的飞起来！！！！！(Implementation of dpsh program)
Char-RNN-PyTorch-master
- # Char-RNN-PyTorch 使用字符级别的RNN进行文本生成，使用PyTorch框架。[Gluon实现] ## Requirements - PyTorch 0.2 - numpy ## Basic Usage 如果希望训练网络，使用如下的代码 ```bash python main.py \ --state train \ --txt './data/poetry.txt' \ # 训练用的txt文本 --batch 128 \ # batch_siz
nn_CIFAR.py
- pytorch tutorial 代码 简单神经网络 数据集CIFAR(pytorch nn training sample code, Dataset: CIFAR dataset Usage: python3 nn_CIFAR.py)
PyTorch_tutorial__CVS
- Introduction(examples and demos) to pytorch(Introduction to pytorch)
attention-is-all-you-need-pytorch-master
- 这是 attention is all your need 的pytorch 代码实现(this is the article "attention is all your need " code)
pytorch-vae-master
- 变分子编码 重构图像 Mnist 特征提取(vae reconstruction Mnist feature extracting)
pytorch-yolo-v3-master
- 物体检测包YOLOV3，Pytorch实现，只需OPENCV和pytorch就可以实现objection detection(Object detection package YOLOV3, Pytorch implementation, only OPENCV and pytorch can achieve objection detection)
深度学习入门之PyTorch
- 学习pytorch基础一本好书，中文，简单易懂，值得入手(Learning Pytorch basic is a good book, Chinese, simple and easy to understand, it is worth starting with.)
test1
- 训练一个深度学习的循环神经网络，可实现获取公开数据集并进行训练，框架为Pytorch(Training a deep learning circular neural network can achieve the acquisition and training of open data sets, and the framework is Pytorch)
music_transcription_MAPS-master
- PyTorch机器学习音乐分类，导入wav和txt进行机器学习，运行项目的命令行和需要的音乐文件都在在压缩包里，项目可以直接运行。(PyTorch machine learns music classification, imports wav and TXT for machine learning, runs the command line of the project and the required music files in the compressed package, and
multihead_joint_entity_relation_extraction
- rdf三元组抽取,多头实体关系联合抽取模型,基于pytorch,tensorflow两种框架实现(multihead_joint_entity_relation_extraction pytorch torflow)
AutoEncoder实战
- 深度学习中基于PyTorch架构的AutoEncoder 实例(Examples of AutoEncoder based on the PyTorch architecture in deep learning)
unet-pytorch-master
- 使用Pytorch搭建U-Net，该模型可以对随机传入任意大小的图片进行图片分割，根据所训练的数据和标签得到索要分割的区域。(Using Python to build u-net, the model can segment random incoming pictures of any size, and get the region to be segmented according to the trained data and labels.)
pytorch-a3c-master
- 使用例子 pytorch和a3c算法的使用，python的实现(example)
SeNet的pytorch实现版本
- 深度学习视觉注意力机制SeNet的pytorch实现版本，包括了SeLayers的实现，SeNet模型以及在Imagenet数据集上的训练代码。
pytorch-openpose-master
- 本例程是我研究生阶段做的一个小项目，该项目用pytorch的深度学习框架来进行人体姿态识别，能够实现头部和身体的骨架识别！图像处理方面加入了OpenCV包进行相关的处理，希望能帮助大家！(175/5000 This routine is a small project that I did in the graduate stage. The project uses pytorch's deep learning framework to recognize human body postu
yolo3-pytorch-master
- 利用pytorch的平台搭建了yolo3目标检测算法，实用性很强(Using tensorflow platform, yolo3 target detection algorithm is built, which is very practical)
pytorch从0到1随书代码
- pytorch从0到1随书代码，供广大网友学习交流
Dive into DL Pytorch 源代码
- Dive into DL Pytorch源代码，jupyter notebook