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2D-sparse-dictionary-learning
2D-sparse-dictionary-learning
In the process of solving the 2E-VRP problem, the large-scale destruction and repair algorithm is used to ensure that the algorithm does not fall into the local optimal solution. The process of the initialization process uses the greedy strategy to cluster the customers. The large-scale destruction process is to randomly remove the customer nodes on the satellite into the customer pool. The repair process is based on the reciprocal of the customer's distance to each customer in the customer pool. Gambling Select the satellite to which the customer belongs and engage in greedy insertion. For the second layer of path planning, you need to use multiple search operators, such as random sequence reversal exchange operator, crossover operator, damage and repair operator, and crossover operator variants, etc. to improve the artificial bee group algorithm Of the local search ability. To ensure that the global optimal situation can be found, the neighborhood of large-scale search. The improved artificial bee colony algorithm incorporates the idea of simulated annealing and improves the global optimization ability of artificial bee colony algorithm. For the artificial bee colony algorithm, the combination of global optimization ability and local optimization ability improves the possibility that the algorithm can find a better solution than the existing method. Multi - operator artificial bee colony algorithm, which extends the search range of the food source 's neighborhood, and more possibilities to find the global optimal solution. The experimental results show that the algorithm can get better path planning results
Convert AEDAT4 files from DV into .mat files for matlab
Decision Tree and Extreme Learning Machine based Single Image Super-resolution
Decision Tree and Extreme Learning Machine for Single image Super-resolution
Fine-grained Attention and Feature-sharing Generative Adversarial Networksfor Single Image Super-Resolution
Minimal C library to access, configure and get data from neuromorphic sensors and processors. Currently supported devices are the Dynamic Vision Sensor (DVS), the DAVIS cameras, and the Dynap-SE neuromorphic processor. THIS IS A MIRROR. ORIGINAL PROJECT LIVES AT https://gitlab.com/inivation/libcaer
Multi-resolution Space-attended Residual Dense Network for Single Image Super-Resolution
Multi-scale Residual Hierarchical Dense Networks for Single Image Super-Resolution
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
ESIM: an Open Event Camera Simulator
Official Pytorch implementation of "Improving Super-Resolution Methods via Incremental Residual Learning"
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Deep Learning Visualization Toolkit(『飞桨』深度学习可视化工具 )
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.