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JiayangXu's starred repositories

Visualis

Visualis is a BI tool for data visualization. It provides financial-grade data visualization capabilities on the basis of data security and permissions, based on the open source project Davinci contributed by CreditEase.

Language:TypeScriptApache-2.026100

linkis

Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.

Language:JavaApache-2.0326600

DataSphereStudio

DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.

Language:JavaApache-2.0301200

spring-boot-demo

🚀一个用来深入学习并实战 Spring Boot 的项目。

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markdown-preview.nvim

markdown preview plugin for (neo)vim

Language:JavaScriptMIT641700

yapi

YApi 是一个可本地部署的、打通前后端及QA的、可视化的接口管理平台

Language:JavaScriptApache-2.02721200

mermaid

Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

Language:JavaScriptMIT6882900

leetcode

Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.

614100

Scriptis

Scriptis is for interactive data analysis with script development(SQL, Pyspark, HiveQL), task submission(Spark, Hive), UDF, function, resource management and intelligent diagnosis.

Language:VueApache-2.080300

WeDataSphere

WeDataSphere is a financial grade, one-stop big data platform suite.

64600

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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lectureCode-sp18

lecture code

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cs231n-2017

My own solutions for Stanford CS231n (2017) assignments

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stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Language:PythonMIT1030800

teaching-material

Teaching materials for the machine learning and deep learning classes at Stanford and Cornell

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notes-python

中文 Python 笔记

Language:Jupyter Notebook689900

UFLDL_SparseAutoencoder

An unsupervised learning algorithm that applies back propagation, setting the target values to be equal to the inputs. Also, we impose a sparsity constraint on the hidden units, then the autoencoder will still discover interesting structure in the data, even if the number of hidden units is large.

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