Yongyao

Yongyao's Stars

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  67.7k1.9k1439.2k

• keras-team/keras

  Deep Learning for humans

  Language:Python62.3k1.9k12.3k19.5k

• scrapy/scrapy

  Scrapy, a fast high-level web crawling & scraping framework for Python.

  Language:Python53.7k1.8k3.1k10.6k

• facebookresearch/fastText

  Library for fast text representation and classification.

  Language:HTML26k8461.1k4.7k

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript12.9k9237644.9k

• qiao/PathFinding.js

  A comprehensive path-finding library for grid based games

  Language:JavaScript8.5k2461461.3k

• joaoventura/full-speed-python

  Full Speed Python: a book for self-learners

  Language:Makefile4.1k17011597

• fishercoder1534/Leetcode

  Solutions to LeetCode problems; updated daily. Subscribe to my YouTube channel for more.

  Language:Java3.9k188211.3k

• databricks/spark-deep-learning

  Deep Learning Pipelines for Apache Spark

  Language:Python2k158106494

• Esri/arcgis-python-api

  Documentation and samples for ArcGIS API for Python

  Language:Python1.9k1507911.1k

• GSA/datagov-wptheme

  Data.gov WordPress Theme (obsolete)

  Language:JavaScript1.9k285855410

• locationtech/geomesa

  GeoMesa is a suite of tools for working with big geo-spatial data in a distributed fashion.

  Language:Scala1.4k870434

• stephencwelch/Neural-Networks-Demystified

  Supporting code for short YouTube series Neural Networks Demystified.

  Language:Jupyter Notebook1.3k6923567

• scrapinghub/frontera

  A scalable frontier for web crawlers

  Language:Python1.3k160155217

• TerriaJS/terriajs

  A library for building rich, web-based geospatial data platforms.

  Language:TypeScript1.2k673.1k372

• OpenGeoscience/geonotebook

  A Jupyter notebook extension for geospatial visualization and analysis

  Language:Python1.1k6783142

• nasa/earthdata-search

  Earthdata Search is a web application developed by NASA EOSDIS to enable data discovery, search, comparison, visualization, and access across EOSDIS' Earth Science data holdings.

  Language:JavaScript7526041224

• in28minutes/MockitoTutorialForBeginners

  Mockito Tutorial for Beginners

  Language:Java642502918

• aws-samples/aws-bookstore-demo-app

  AWS Bookstore Demo App is a full-stack sample web application that creates a storefront (and backend) for customers to shop for fictitious books. The entire application can be created with a single template. Built on AWS Full-Stack Template.

  Language:TypeScript6313338313

• spring-attic/spring-xd

  Spring XD makes it easy to solve common big data problems such as data ingestion and export, real-time analytics, and batch workflow orchestration

  Language:Java475920288

• nasa/Common-Metadata-Repository

  Language:Clojure343271695

• lmjohns3/theanets

  Neural network toolkit for Python

  Language:Python3283910973

• unsky/RetinaNet

  Focal loss for Dense Object Detection

  Language:Python225101564

• in28minutes/JUnitIn28Minutes

  JUNIT Tutorial For Beginners

  Language:Java217230303

• LBL-EESA/TECA

  TECA, theToolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection and analysis.

  Language:C++58542721

• dataplumber/nexus

  NEXUS is an emerging data-intensive analysis framework developed with a new approach for handling science data that enables large-scale data analysis. It takes on a different approach in handling array-based observational temporal, geospatial artifacts by fully leveraging the elasticity of Cloud Computing environment. Rather than performing on-the-fly file I/Os, NEXUS stores tiled data in Cloud-scaled databases with high-performance spatial lookup service. NEXUS is also packaged with a suite of science data analytic web services that are developed using Apache Spark.

  Language:Jupyter Notebook211005

• apache/sdap-mudrod

  Mirror of Apache sdap (Incubating)

  Language:Java1115014

• scgordon/MILE2

  Second Metadata Improvement Lab at ESIP - Summer 2017

  Language:Jupyter Notebook2301

• githubschool/big-crew

  Let's learn about Git and GitHub

  Language:HTML1483

• stccenter/datadiscovery

  Language:Jupyter Notebook1401