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Company: IGG,CAS
Type: User
Company: IGG,CAS
Python code for visualizations of algorithms that provide approximate solutions to TSP along with two lower bound approximations
A Python package to store time series data in HDF5 files using PyTables
Visualize time series obtained from Google Earth Engine and run pyccd on them.
Tug of War Optimization Algorithm code in matlab and Advances in Metaheuristic Algorithms for Optimal Design of Structures
We have a Turtlebot simulator which is treated as an a
An autonomous mobile robot running on Gazebo that plan its path based on given map of environment and a python script which calculates the velocity to reach the desired goal based on DFS and BFS search methods
Group project for course "Mechatronics Systems: Design and Integration", develop under ROS system, implemented path planning algorithms to have Turtlebot robot navigate through the unknown environment and create 2D map for the surrounding environment
[Introduction] Programming for Data Science with Python in the Digital Economy
Geohackweek Tutorial Contents
sandbox for developing tutorial codes for 2019 hackweek
Tutorials that integrate the Fatiando a Terra software to solve data problems in geoscience
Generating terrestrial water storage estimates from GPS displacement data.
Fupeng Li's code for reconstructing total water storage content
C# code for predicting oceanic tides
# typhoon Analysis satellite images of typhoons by deep-learning (CNN), based on PyTorch. This CNN learns to map the satellite images of typhoons to their max wind speed from. The labeled train set is obtained from agora/JMA. ## Requirements * BeautifulSoup * PIL * Pytorch ## Usage 1. Run `download.py`, download the satellite images of typhoons to folder `tys_raw`. 2. Run `create_samples.py`, convert raw data into the legal samples for our CNN, create two new forlder `train_set` and `test_set`. 3. Train CNN using `train_net.py`, the trained CNN will be saved as a disk file `net_relu.pt`. 4. Run `test_net.py`, analysis the test set. After 10 epoches training the CNN regressor reached mean loss about 8 (knots) in train set and about 10 (knots) in test set. ![](https://raw.githubusercontent.com/melissa135/deep_typhoon/master/loss_sequence.png) Here is what this CNN thinks of the top 20 typhoons sorted by max wind. ``` 1 ('197920', 130.27679443359375) 2 ('200914', 127.7662582397461) 3 ('199019', 122.92172241210938) 4 ('200918', 122.84004211425781) 5 ('201614', 122.66597747802734) 6 ('201601', 122.03250885009766) 7 ('201513', 121.75947570800781) 8 ('200922', 121.35771942138672) 9 ('201013', 120.0194091796875) 10 ('201330', 118.92587280273438) 11 ('201419', 117.6025390625) 12 ('198305', 117.10270690917969) 13 ('201422', 116.77259063720703) 14 ('198522', 116.46116638183594) 15 ('201327', 116.42304992675781) 16 ('201216', 116.36921691894531) 17 ('198221', 116.18096923828125) 18 ('199230', 115.96656799316406) 19 ('198210', 115.96611022949219) 20 ('201328', 115.57132720947266) ``` ## Tips * Memory should be at least 1.5G . * This project is written without `cuda()`, while you can use `cuda()` to transfer the CNN onto GPU and speedup the training. * The images and labels are crawled from agora.ax.nii.ac.jp/digital-typhoon , and the labels are refered to JMA(Japan Meteorological agency).
u-blox GNSS receiver library light weight for low power tracking application
Coupling scripts for Ua and MITgcm
Large scale ice-flow model
Codes, documentation and discussion for the use of single stationary cameras and small drones for Argus-like sampling.
Distributed energy balance model using SfM data and AWS data
This work is an Integration of two different softwares. STK and Matlab. STK is a simulation software where we simulate UAV flights and other scenarios. Matlab allows us to run the code for a shortest path algorithm through image processing.
This is a UAV path planning in a map-based environment using double deep Q-Network
处理无人机影像的代码,使用了OpenMVG,openMVS以及GDAL库等,实现影像几何校正,影像拼接,点云生成等功能
Arduino Library for u-blox/ublox GNSS/GPS receiver, using I2C or Softserial interface to receive multiple messages
国科大深度学习课程知识点整理
Using the D-Wave 2000Q to error correct ASCII messages sent over a noisy channel, and understand the physics of quantum annealing. Repo to be used with the Leap IDE.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.