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stream Machine Learning in C++
Streaming approximate histograms with Python.
Structured Sparisty Regularizers
Semantic Textual Similarity with Multi-task Learning Gaussian Processes
Learning Stylometric Representation for Authorship Analysis
Subword Neural Machine Translation
Different kinds of functions that can be applied on survival data for prediction
Singular Value Decomposition-like matrix factorization for collaborative filtering [recommender systems]
This package implements algorithms for identifying overlapping communities in large undirected networks. The sampling based algorithms derive from stochastic variational inference under the (assortative) mixed-membership stochastic blockmodel. For details see the following reference: http://www.pnas.org/content/early/2013/08/14/1221839110.full.pdf
SVM implementation using CVX for Convex Optimization class
Variational inference for Wishart and inverse Wishart processes
Structure-based Sybil/Fake account/Spam detection in social networks
Matlab code for training a recursive neural network to learn a paraphrase model from PPBD. Also includes matlab code for training paragram word embeddings. This code was used to obtain results in our 2015 TACL paper "From Paraphrase Database to Compositional Paraphrase Model and Back."
Anonymizing trajectory data for passenger flow analysis [TRC 2014] - anonymize a trajectory dataset to achieve LK-privacy by using local suppression for flowgraph analysis
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf
The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots
This project is about how to discover temporal pattern in recommendation systems. We implement matrix factorization and work of several papers.
Paper lists for Temporal Point Process
Tensor Factorization via Matrix Factorization
Computation using data flow graphs for scalable machine learning
Tensorflow Recurrent Neural Network (RNN) model to analyse Time Series in GDELT News dataset to predict future events.
谷歌全新开源人工智能系统TensorFlow官方文档中文版
A short example of training a bidirectional LSTM model with connectionist temporal classification
Topic Evolution Analysis - an algorithm for analyzing knowledge flow in text based corpora
Molding CNNs for text (http://arxiv.org/abs/1508.04112)
TensorFlow multiclass classification losses and loss accessories.
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.