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qwc7's Projects

h3 icon h3

Hexagonal hierarchical geospatial indexing system

infospider icon infospider

INFO-SPIDER 是一个集众多数据源于一身的爬虫工具箱🧰,旨在安全快捷的帮助用户拿回自己的数据,工具代码开源,流程透明。支持数据源包括GitHub、QQ邮箱、网易邮箱、阿里邮箱、新浪邮箱、Hotmail邮箱、Outlook邮箱、京东、淘宝、支付宝、**移动、**联通、**电信、知乎、哔哩哔哩、网易云音乐、QQ好友、QQ群、生成朋友圈相册、浏览器浏览历史、12306、博客园、CSDN博客、开源**博客、简书。

ipercore icon ipercore

Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis

iso8211 icon iso8211

Python ISO8211 Library (fork of http://sourceforge.net/projects/py-iso8211/)

itstack-demo-design icon itstack-demo-design

:art: 《重学Java设计模式》是一本互联网真实案例实践书籍。以落地解决方案为核心,从实际业务中抽离出,交易、营销、秒杀、中间件、源码等22个真实场景,来学习设计模式的运用。欢迎关注小傅哥,微信(fustack),公众号:bugstack虫洞栈,博客:https://bugstack.cn

joypy icon joypy

Joyplots in Python with matplotlib & pandas :chart_with_upwards_trend:

lstm icon lstm

基于LSTM神经网络的时间序列预测

ml-nlp icon ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

nn_vis icon nn_vis

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

pig icon pig

↥ ↥ ↥ 点击关注更新,基于 Spring Cloud 2021 、Spring Boot 2.7、 OAuth2 的 RBAC 权限管理系统

predrnn-pp icon predrnn-pp

Code release for "PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning" (ICML 2018)

pyais icon pyais

AIS message decoding in Python (AIVDM/AIVDO)

pygcn icon pygcn

Graph Convolutional Networks in PyTorch

python icon python

All Algorithms implemented in Python

pytorch-seq2seq icon pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch-unet icon pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch_practice icon pytorch_practice

这是我学习 PyTorch 的笔记对应的代码,点击查看 PyTorch 笔记在线电子书

qtflex5 icon qtflex5

Flexible and dockable widgets for Qt5, like Visual Studio 201x user interface.

qwidgetdemo icon qwidgetdemo

Qt编写的一些开源的demo,预计会有100多个,一直持续更新完善,代码简洁易懂注释详细,每个都是独立项目,非常适合初学者,代码随意传播使用,拒绝打赏和捐赠,欢迎留言评论!

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