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Dieter Zhu's Projects

cantor icon cantor

基于 wails + vue + github-api 实现的个人图床 mac app

cartography icon cartography

Cartography is a Python tool that consolidates infrastructure assets and the relationships between them in an intuitive graph view powered by a Neo4j database.

charts icon charts

轻量级图表,提供常用图表如折线图、柱状图、饼状图等,支持动画效果

chatbot icon chatbot

A fast responsive, machine learning, conversational dialog engine for creating chat bots, written in Go.

chinese-bert-wwm icon chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)

clip_image_search icon clip_image_search

Search Images through image dataset with text prompt using Open AI's CLIP neural network.

cnn-explainer icon cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

cocoapi icon cocoapi

COCO API - Dataset @ http://cocodataset.org/

colly icon colly

Elegant Scraper and Crawler Framework for Golang

conc icon conc

Better structured concurrency for go

cracking4crawling icon cracking4crawling

一些爬虫相关的签名、验证码破解,目前已涉及:小红书。

crackminapp icon crackminapp

(反编译微信小程序)一键获取微信小程序源码(傻瓜式操作), 使用了C#加nodejs制作

crawlab icon crawlab

Distributed web crawler admin platform for spiders management regardless of languages and frameworks. 分布式爬虫管理平台,支持任何语言和框架

cropimage icon cropimage

A simple toolkit for detecting and cropping main body from pictures. Support face and saliency detection.

dalle-pytorch icon dalle-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

data-science-projects icon data-science-projects

GalvanizeU | University of New Haven Master of Science in Data Science - This repository contains some Data Science projects that I have worked on in my Masters in Data Science with University of New Haven (San Francisco campus)

datav-react icon datav-react

React数据可视化组件库(类似阿里DataV,大屏数据展示),提供SVG的边框及装饰、图表、水位图、飞线图等组件,简单易用,长期更新

deep-aesthetics-pytorch icon deep-aesthetics-pytorch

PyTorch implementation of "Photo Aesthetics Ranking Network with Attributes and Content Adaptation" by Kong et al. (ECCV 2016)

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