回归模型python实现
# Linear regression example
Trains a single fully-connected layer to fit a 4th degree polynomial.
快速风格迁移pytorch源码实现
This repository contains a pytorch implementation of an algorithm for artistic style transfer. The algorithm can be used to mix the content of an image with the style of another image. For example, here is a photograph of a door arch rendered in the style of a stained glass painting.
The model uses the method described in [Perceptual Losses for Real-Time Style Transfer and Super-Resolution](https://arxiv.org/abs/1603.08155) along with [Instance Normalization](https://arxiv.org/pdf/1607.08022.pdf). The saved-models for examples shown in the README can be downloaded from [here](https://www.dropbox.com/s/lrvwfehqdcxoza8/saved_models.zip?dl=0).
Deep Convolution Generative Adversarial Networks 源码
# Deep Convolution Generative Adversarial Networks
This example implements the paper [Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks](http://arxiv.org/abs/1511.06434)
Joint 3D Face Reconstruction and Dense.pdf
这是关于Joint 3D Face Reconstruction and Dense的相关论文
StarGAN Unified Generative Adversarial Networks.pdf
这是关于StarGAN Unified Generative Adversarial Networks的论文
Deep Image Prior.pdf
关于Deep Image Prior的论文，适合初学者对Deep Image Prior的认识和了解
9.her.ipynb
关于her的例子，适合初学者对深度强化学习her的认识和了解
8.gail.ipynb
关于gail的例子，适合初学者对深度强化学习gail的认识和了解
7.soft actor-critic.ipynb
关于soft actor-critic的例子，适合初学者对深度强化学习soft actor-critic的认识和了解
6.td3.ipynb
关于td3的例子，适合初学者对深度强化学习td3的认识和了解
5.ddpg.ipynb
关于ddpg的例子，适合初学者对深度强化学习ddpg的认识和了解
4.acer.ipynb
关于acer的例子，适合初学者对深度强化学习acer的认识和了解
3.ppo.ipynb
关于ppo的例子，适合初学者对深度强化学习ppo的认识和了解
2.gae.ipynb
关于gae的例子，适合初学者对深度强化学习gae的认识和了解
1.actor-critic.ipynb
关于actor-critic的例子，适合初学者对深度强化学习actor-critic的认识和了解
9.hierarchical dqn.ipynb
关于hierarchical dqn的例子，适合初学者对深度强化学习hierarchical dqn的认识和了解
8.quantile regression dqn.ipynb
关于quantile regression dqn的例子，适合初学者对深度强化学习quantile regression dqn认识和了解
7.rainbow dqn.ipynb
关于rainbow dqn的例子，适合初学者对深度强化学习rainbow dqn.的认识和了解
6.categorical dqn.ipynb
关于categorical dqn的例子，适合初学者对深度强化学习categorical dqn的认识和了解
和QT有关的学习实例代码.zip
和QT相关的源代码，供学习QT的童鞋下载使用
Spark相关资料三册.zip
里面包含了三册和spark相关的资料
sqp讲解及MATLAB程序.zip
主要是一些关于SQP的讲解资料和对应的MATLAB程序
Taking the Human Out of the Loop- A Review of Bayesian Optimization.pdf
贝叶斯优化 综述
Abstract:
Big Data applications are typically associated with systems involving large numbers of users, massive complex software systems, and large-scale heterogeneous computing and storage architectures. The construction of such systems involves many distributed design choices. The end products (e.g., recommendation systems, medical analysis tools, real-time game engines, speech recognizers) thus involve many tunable configuration parameters. These parameters are often specified and hard-coded into the software by various developers or teams. If optimized jointly, these parameters can result in significant improvements. Bayesian optimization is a powerful tool for the joint optimization of design choices that is gaining great popularity in recent years. It promises greater automation so as to increase both product quality and human productivity. This review paper introduces Bayesian optimization, highlights some of its methodological aspects, and showcases a wide range of applications.
Published in: Proceedings of the IEEE ( Volume: 104 , Issue: 1 , Jan. 2016 )
SQP讲解课件PDF.zip
SQP是一种在多行业都有应用的智能规划算法，该压缩包为SQP的讲解课件，已经转为PDF文件，有需要的可以进行下载，课件讲解得较为详细。
TeraStation用户手册.pdf
这是TeraStation用户手册，方便TeraStation的初学者进行了解和学习。是一个较好的官方资料。
Automated Algorithm Selection: Survey and Perspectives.pdf
Automated Algorithm Selection: Survey and Perspectives。今年的新survey，对算法自动调参领域作了详尽介绍。
大规模分佈式机器学習.pdf
大规模分佈式机器学習，大规模分佈式机器学習简易入门教程
LAB-master.zip
这是关于论文Look at Boundary: A Boundary-Aware Face Alignment Algorithm的相关代码
PointCNN-master.zip
这是关于论文PointCNN的相关代码，具体内容值得学习一下
generative_inpainting-master.zip
这是关于Generative Image Inpainting With Contextual Attention论文的相关代码
loss-landscape-master.zip
这是关于论文Visualizing the Loss Landscape of Neural Nets的相关代码
GANimation-master.zip
这是关于论文GANimation: Anatomically-aware Facial Animation from a Single Image的相关代码
3D-ResNets-PyTorch-master.zip
这是关于论文Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?的相关代码
MUNIT-master.zip
这是关于论文Multimodal Unsupervised Image-to-image Translation的相关代码
SENet-master.zip
这是关于论文Squeeze-and-Excitation Networks的相关代码值得学习
Learning-to-See-in-the-Dark-master.zip
这是关于论文Learning to See in the Dark. CVPR 2018的相关代码值得学习
PRNet-master.zip
这是关于论文Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)的代码
vid2vid-master.zip
这是关于论文Video-to-Video Synthesis的相关代码，值得学习一下
Learning to See in the Dark.pdf
这是关于学术论文Learning to See in the Dark的相关代码
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