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model-leaf_hu

Dev project AgriNet utils for dataset improvement and correlation

myfilter

ServletFileter

panopticsegmentation

PKU_360 Team's fuse code! This code is used to fuse the semantic segmentation result and instance segmentation result. We won the third place in COCO2018 panoptic segmentation.

personality-insights-twitter-java

A sample of how to call the Watson Personality Insights API with twitter data in java.

plant-diseases-classifier

Artificial Intelligence app that detects diseases in plants using a deep learning model

plantvillage-dataset

Dataset of diseased plant leaf images and corresponding labels

pupkintest

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

recommenders

Recommender Systems

semanticsegmentation-examples

softras

Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"

spark-sql-twitter-analyzer

Process large amount of Twitter data using Spark SQL (and its JSON support). Answers questions like "What are the most popular languages?", "Who is most influential?", "Which time zones are most active during a day?" and more.

spring08022019

CW SPRING DB

stormtweetssentimentd3viz

Computes and visualizes the sentiment analysis of tweets of US States in real-time using Storm.

test

time-tracker

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

tweet2vec

Twitter hashtag prediction

tweet_parser

Reliably parse Tweets delivered by Twitter Data products in both the activity-streams and original formats.

tweetsql

Python module for storing Twitter data in a Postgres database and operating on it via SQLAlchemy

twitter-text

Twitter Text Libraries

twitter4j

Twitter4J is an open-sourced, mavenized and Google App Engine safe Java library for the Twitter API which is released under the Apache License 2.0.

twitterproductranker

In this project we mined tweeter data in order to compare topic popularities comparing to google trends in corresponding timelines. The assumption is that people tweet as they search, and that mining tweets in a given period of time will give similar behavior when it comes to the amount of tweets / search in tweeter / google search by web users.

webclient