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Name: Zhang JinXiong(张金雄)
Type: User
Bio: Interested in application of mathematics including statistical machine learning, numerical optimization and data analysis.
Name: Zhang JinXiong(张金雄)
Type: User
Bio: Interested in application of mathematics including statistical machine learning, numerical optimization and data analysis.
Light-Head R-CNN
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. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Efficient, transparent deep learning in hundreds of lines of code.
Large-scale linear classification, regression and ranking in Python
Python client for the lightning API
Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata]
It is about the theory of linear algebra in university level including some application to practical problems and the connection with other field of mathematics.
The definitive list of lists (of lists) curated on GitHub
Experimental logistic regression code supporting multiple result categories, many levels of categorical modeling variables, good optimization, L2 regularization and more.
L1-regularized logistic regression using stochastic gradient descent [machine learning]
Logistic Regression classifier written in python
Code for visualizing the loss landscape of neural nets
This is an implementation and extension of LSTM optimizer model from https://arxiv.org/abs/1606.04474
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
A collection of infrastructure and tools for research in neural network interpretability.
Deep Learning toolkit for Computer Vision
Module 7: Introduction to D3.js
the best machine learning tutorials on the web
machine learning and deep learning tutorials, articles and other resources
Learn Machine Learning using PySpark from scratch
MACHINE LEARNING YEARNING BY ANDREW NG
Repository contains tasks and exercises made during Udemy course Machine Learning A-Z that I completed in 2017.
Plain python implementations of basic machine learning algorithms
Some machine learning algorithms
My blogs and code for machine learning. http://cnblogs.com/pinard
Machine learning resources
using c++ code to show the example of machine learning
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.