NoTrump

Pinned Repositories

3d-photo-inpainting
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
Language:Python00
58spider
58同城多进程爬虫
10
bengali-ai-eda-base-cnn
This competition is to predict the energy consumption in the next two years based on the one-year energy consumption of 1,449 buildings in 16 regions, and the total energy consumption is 4 Species: electricity, natural gas, hot water, cooling water.The evaluation index is RMLSE, and the training and test data amount to over 60 million pieces, which is a typical time Sequence estimation problem.
00
CB-Openchart-web-spider
适配OpenChart模板网站的产品导入插件，示例网站：
00
cn-deep-learning
https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/
Language:Jupyter Notebook00
Company-useful-spider
方便运营工作的简单爬虫小工具
00
CTR_NN
基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）
Language:Jupyter Notebook00
deep-painterly-harmonization
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
Language:Cuda00
Em
Em算法实例
20
neural-style-tf
TensorFlow (Python API) implementation of Neural Style
Language:Python10

NoTrump's Repositories

NoTrump/Em
Em算法实例
20
NoTrump/58spider
58同城多进程爬虫
10
NoTrump/neural-style-tf
TensorFlow (Python API) implementation of Neural Style
Language:Python10
NoTrump/3d-photo-inpainting
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
Language:Python00
NoTrump/bengali-ai-eda-base-cnn
This competition is to predict the energy consumption in the next two years based on the one-year energy consumption of 1,449 buildings in 16 regions, and the total energy consumption is 4 Species: electricity, natural gas, hot water, cooling water.The evaluation index is RMLSE, and the training and test data amount to over 60 million pieces, which is a typical time Sequence estimation problem.
00
NoTrump/CB-Openchart-web-spider
适配OpenChart模板网站的产品导入插件，示例网站：
00
NoTrump/cn-deep-learning
https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/
Language:Jupyter Notebook00
NoTrump/Company-useful-spider
方便运营工作的简单爬虫小工具
00
NoTrump/CTR_NN
基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）
Language:Jupyter Notebook00
NoTrump/deep-painterly-harmonization
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
Language:Cuda00
NoTrump/django-Web-practice
在线课程网站制作
NoTrump/DouYuTV-spider
多进程爬取斗鱼直播
NoTrump/fast-neural-style
Feedforward style transfer
Language:Lua
NoTrump/fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
Language:Python
NoTrump/luxun
骆驼祥子常用词词云制作
NoTrump/Machine_Learning
机器学习相关
NoTrump/magenta
Magenta: Music and Art Generation with Machine Intelligence
Language:Python
NoTrump/matplotlib-scatter
matplotlib
NoTrump/ml-agents
Unity Machine Learning Agents Toolkit
NoTrump/mmfashion
Open-source toolbox for visual fashion analysis based on PyTorch
NoTrump/neural-doodle
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
NoTrump/numpy
numpy常用方法
1 0
NoTrump/pandas
pandas常用方法
NoTrump/tyler_dm