搜索资源列表
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 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 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 教程
- PyTorch is a library for Python programs that facilitates building deep learning projects. It emphasizes flexibility and allows deep learning models to be expressed in idiomatic Python. This approachability and ease of use found early adopters in t
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
pytorch-drl4vrp-master
- pytorch-drl4vrp-master，一些vrp数据。
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)