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100-Days-Of-ML-Code中文版
2018-CCF大数据与计算智能大赛-面向电信行业存量用户的智能套餐个性化匹配模型联通赛-复赛第二名解决方案
30天自制C++服务器,包含教程和源代码
I am sharing my journey of 66DaysOfData in Machine Learning
M.-J. Chiou, T. Yamasaki and K. Aizawa, "A Fast Method of Visual Words Assignment of Bag-of-Features for Object Recognition", MIRU 15th, July 2015
Approximate Bayesian Computation Population Monte Carlo
the source code for accv2012 paper Robust Visual Tracking Using Dynamic Classifier Selection with Sparse Representation of Label Noise
Action Recognition & Categories via Spatial-Temporal Features
Code for: Learning Latent Structure for Activity Recognition (ICRA 14', RSS 14', and Ro-Man 14')
MATLAB Human Activity Recognition Toolbox
a home work project
According to CVPR'12 paper "Learning Inter-related Visual Dictionary for Object Recognition" and ICCV'11 paper "Fisher Discrimination Dictionary Learning for Sparse Representation", both have btwn-class scatter and within-class scatter and the former has shared dictionary. I adjusted the formula to add hierarchical dictionary constraints.
MATLAB script for adding samples by learned attributes (CVPR 2013)
Open-source implementation of Google Vizier for hyper parameters tuning
A collection of common affinity-based image matting and matte refinement algorithms.
AI education materials for Chinese students, teachers and IT professionals.
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
快速上手Ai理论及应用实战:基础知识、ML、DL、NLP-BERT、竞赛。含大量注释及数据集,力求每一位能看懂并复现。
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Jupyter notebooks associated with the Algorithms for Optimization textbook
Implementation of Algorithms and Data Structures, Interview Questions and Answers
Minimal examples of data structures and algorithms in Python
Assignments for the "INF8215: Methods and Algorithms for Artificial Intelligence" course. M.Sc. in Applied Mathematics at Polytechnique Montréal.
Algorithms And DataStructure Implemented In Python & CPP, Give a Star 🌟If it helps you
Photogrammetric Computer Vision Framework
Using MRFs and CRFs for computer vision problems.
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
To overcome computational challenges in traditional optimization algorithms, developed an Iterative L1 Regularized Limited Memory Stochastic BFGS algorithm which drops the hyperparameters iteratively at certain rate as the algorithm proceeds providing exact sparse solutions to big data machine learning optimization problems using significantly less computational memory.
list the paper for recently anchor free detector
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.