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A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
Implement some ML algorithms in scala
A scalable nearest neighbor search library in Apache Spark
BiLSTM-CRF joint model for tasks like sequence labeling using char/word level embeddings in Tensorflow
Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.
An efficient and effective learning to rank algorithm by mining information across ranking candidates. This repository contains the tensorflow implementation of SERank model. The code is developed based on TF-Ranking.
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
DBSCAN clustering algorithm implemented in Apache Spark (MapReduce Framework).
Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.
Spark-based approximate nearest neighbor search using locality-sensitive hashing
Deep Dive into Apache Spark 深入研读Spark源码
Example of running a Genetic Algorithm (Travelling Salesman) on Apache Spark
A parallel implementation of word2vec based on Spark
Notes talking about the design and implementation of Apache Spark
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
《剑指offer》Java版代码实现
Some tiny exercises for system design.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
【腾讯社交广告算法大赛_决赛排名35】以移动app广告为研究对象,根据给定广告、用户和上下文情况信息,预测app广告点击后被激活的概率
Computation using data flow graphs for scalable machine learning
Notes and diagrams when reading tensorflow source code: https://github.com/tensorflow/tensorflow or https://github.com/tensorflow/models
Simple and ready-to-use tutorials for TensorFlow
TensorFlow Deep Learning Projects, published by Packt
Sequence prediction using recurrent neural networks(LSTM) with TensorFlow
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.
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.