shushi2016's Stars
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
apache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
wireservice/csvkit
A suite of utilities for converting to and working with CSV, the king of tabular file formats.
miguelgrinberg/microblog
The microblogging application developed in my Flask Mega-Tutorial series. This version maps to the 2024 Edition of the tutorial.
tomwhite/hadoop-book
Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White
LiuXingMing/SinaSpider
新浪微博爬虫(Scrapy、Redis)
heavyai/heavydb
HeavyDB (formerly OmniSciDB)
toddwschneider/nyc-taxi-data
Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database
ncullen93/torchsample
High-Level Training, Data Augmentation, and Utilities for Pytorch
awesome-spark/awesome-spark
A curated list of awesome Apache Spark packages and resources.
XD-DENG/SQL-exercise
Practice with "Real" SQL Problems
lfz/DSB2017
The solution of team 'grt123' in DSB2017
wireservice/agate
A Python data analysis library that is optimized for humans instead of machines.
keredson/wordninja
Probabilistically split concatenated words using NLP based on English Wikipedia unigram frequencies.
oracle/fastr
A high-performance implementation of the R programming language, built on GraalVM.
chriswhong/nyctaxi
Repo for NYC Taxis: A Day in the Life, a data visualization that shows the movements and earnings of a single NYC taxi over 24 hours.
flowlight0/talkingdata-adtracking-fraud-detection
My solution for TalkingData AdTracking Fraud Detection Challenge (https://www.kaggle.com/c/talkingdata-adtracking-fraud-detection/)
Keiku/kaggle-airbnb-recruiting-new-user-bookings
2nd Place Solution in Kaggle Airbnb New User Bookings competition
patrick201/information_value
Tgaaly/pytorch-cheatsheet
Pytorch Cheatsheet
grammatical/neural-naacl2018
Neural models and instructions on how to reproduce our results for our neural grammatical error correction systems from M. Junczys-Dowmunt, R. Grundkiewicz, S. Guha, K. Heafield: Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task, NAACL 2018.
bckenstler/TheresWaldo
There's Waldo contains a fully-convolution densenet approach to solving "Where's Waldo"
recastrodiaz/fastai-course-1-pytorch
PyTorch port of Rachel's and Jeremy's 1st part Machine Learning course
robhowley/lambda-warmer-py
keep lambdas warm and monitor cold starts with a simple decorator
mkonicek/nlp
Simple experiments with word embeddings
XD-DENG/DIY-A-Cluster
How to Do-It-Yourself A Cluster for Spark & Hadoop
lyltj2010/miapp
App市场趋势分析
dorophy1995/fetchweibo