搜索资源列表
dcgan pytorch
- the pytorch code about generative adversirial network
pytorch-adda-master
- 迁移学习框架ADDA, python 代码,整体可运行(a fr a mework of transfer learning)
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
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 Model Definition
- Pytorch模型定义练习集,包括论文实现部分和Pytorch使用中的细节说明(Pytorch model definition)
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)
DnCNN-pytorch
- DnCNN implement by pytorch
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 fr a mework 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 i
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
pytorch-a3c-master
- 使用例子 pytorch和a3c算法的使用,python的实现(example)
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 fr a mewo
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)
深度学习之PyTorch物体检测实战
- 学习pytorch的入门书籍,非常详细。 本书是国内原创图书市场上首部系统介绍物体检测技术的图书。书 中利用PyTorch深度学习框架,从代码层面讲解了Faster RCNN、SSD及 YOLO这三大经典框架的相关知识,并进一步介绍了物体检测的细节与 难点问题,让读者可以全面、深入、透彻地理解物体检测的种种细节, 并能真正提升实战能力,从而将这些技术灵活地应用到实际开发中,享 受深度学习带来的快乐。