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Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
A curated list of deep learning resources for computer vision
Uplift modeling and causal inference with machine learning algorithms
常用的中文停用词表
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
This repository contains notebook + code for DataCamp community post on groupbys, split-apply-combine and pandas.
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
Tutorials for DataCamp (www.datacamp.com)
Google TensorFlow project for classification using images or video input.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Image Processing: Edge Detection using Open CV and TensorFlow
Projeto criado com base nos tutoriais do Chris Hawkes
The project is about the Chinese funds, including crawler the data and analysis them.
this repository accompanies the book "Grokking Deep Learning"
Holistically-Nested Edge Detection
Keras Total Visualization project
Notebooks and code for the book "Introduction to Machine Learning with Python"
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.
LightGBM 中文文档
Basic LSTM Experiments with TensorFlow
Read-only mirror of "nloptr" from r-forge SVN.
nloptr provides an R interface to NLopt, a free/open-source library for nonlinear optimization providing a common interface to a number of different optimization routines which can handle nonlinear constraints and lower and upper bounds for the controls.
Full working examples in Python with accompanying dataset for Text Mining & NLP. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, word count with pyspark, simple text preprocessing, accessing pre-trained embeddings and more.
Parallel computing in Python tutorial materials
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
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.