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MatConvNet implementation for low dimensional CNN “Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval”
A divide and conquer approach to multi-target tracking
Repository for the code of the paper "Neural Networks Regularization Through Invariant Features Learning".
记录Learning from data一书中的习题解答
Learnable Pooling Regions is a proposed framework that jointly learns the classifier parameters together with the shape of the pooling regions (pooling regions as in the Spatial Pyramid Matching architecture).
Learn feature rich descriptors for videos
Learn OpenCV : C++ and Python Examples
以撸代码的形式学习Python
LeetCode Problems' Solutions
Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.
CNN框架设计(from zero to one)
Matlab implementation of the paper "Learning fast approximations of sparse coding"
learn matrix exponential model to describe points on a sphere, using the spectral decomposition to compute the derivatives
Some hierarchical Bayesian clustering algorithms, such as mixture models and more.
DAISY: A Fast Local Descriptor for Dense Matching
A lightweight and user friendly C++ library for deep and convolutional neural network with GPU acceleration
A pure C implementation of library for lasso, elastic net L1 regularized linear regression and variable selection estimator based on LARS-EN algorithm.
libLBFGS: a library of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS)
Multiclass classification based on stochastic dual coordinate ascent
LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Frank-Wolfe optimization variants with a linear convergence rate
Matlab-based linear regression framework for verification of Bayesian inversion code
C++ library for LLC encoder
Implemented the entire process of a supervised image classification algorithm in Python, which enhanced the Spatial Pyramid Matching method by using locality-constrained linear coding in the encoding step
local sparse coding wit histogram intersection kernel(HIK)
Logistic Regression from the Scratch using Python and Numpy
Tensorflow toolbox implementing several learnable pooling architecture
Code, demo and model for our project of low rank bilinear pooling for fine-grained classification
for study the code from "On feature combination for multiclass object classification"
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.