scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman) 遗传、粒子群、模拟退火、蚁群算法等

scipy-2019-pandas

Pandas tutorial for SciPy 2019

sdr_data_collection

A Repo to store gathers SDR Output (Ais, NMEA, 1080) data files and short scripts.

searchengine4justicesindingtalk

司法领域的搜索引擎(钉钉小程序)

seetaface2

SeetaFace 2

segmentationcheck

切分检查平台 对图片切分出的字形进行检查与人工调整

sensitive-stop-words

互联网常用敏感词、停止词词库

shadowsocksr

Python port of ShadowsocksR

shadowsocksr_back

个人备份，作为脚本源

ship_detection

基于YOLOv3的船舶检测模型

shippix

Capture pictures of shipping traffic with a Raspberry Pi and AIS

shiptracker

This project is a company that customizes the information on the entry and exit of ships in major ports around the world. The collected data combines satellite remote sensing technology, machine learning, and deep learning to study the global trade and economic situation.

shuup

E-Commerce Platform

signalk-marinetraffic-api

WIP plugin for retrieving AIS data from Marinetraffic API

simdjson

Parsing gigabytes of JSON per second

simrdwn

Rapid satellite imagery object detection

slicer

Multi-platform, free open source software for visualization and image computing.

snnudj

外国语学院党建小程序+网页后端

snorkel

A system for quickly generating training data with weak supervision

spark-ais-multi

Import, Partition and Query AIS Data using SparkSQL

spartid-ais

Ship positions using AIS data in Norway

spatio-temporal-analysis

Analysis and Visualization of the AIS data by using Geopandas and Matplotlib and also clustering the ports based on AIS message density.

spotify-recsys-challenge

A complete set of Recommender Systems techniques used in the Spotify Recsys Challenge 2018 developed by a team of MSc students in Politecnico di Milano.

spug

20190920

sri-2019-ais-anomaly-detection

A machine learning approach to detecting anomalies in AIS data.

starboard-notebook

In-browser literal notebooks

startupdatascience

stat479-machine-learning-fs19

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

statistical-learning-methods-note

李航《统计学习方法》笔记和 Python 实现（不基于任何代数运算库）。

story