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streamdm-cpp

stream Machine Learning in C++

streamhist

Streaming approximate histograms with Python.

structured_embeddings

structuredsparsityregularization

Structured Sparisty Regularizers

sts-multi-task-learning

Semantic Textual Similarity with Multi-task Learning Gaussian Processes

stylomatrix

Learning Stylometric Representation for Authorship Analysis

subword-nmt

Subword Neural Machine Translation

survutils

Different kinds of functions that can be applied on survival data for prediction

svd-recommend

Singular Value Decomposition-like matrix factorization for collaborative filtering [recommender systems]

svinet

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_cvx

SVM implementation using CVX for Convex Optimization class

swpr

Variational inference for Wishart and inverse Wishart processes

sybildetection

Structure-based Sybil/Fake account/Spam detection in social networks

tacl2015

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."

talf

Anonymizing trajectory data for passenger flow analysis [TRC 2014] - anonymize a trajectory dataset to achieve LK-privacy by using local suppression for flowgraph analysis

tcdf

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

td-treelstm

Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf

temporal-network-embedding

The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots

temporal-product-recommendation

This project is about how to discover temporal pattern in recommendation systems. We implement matrix factorization and work of several papers.

temporalpointprocesspapers

Paper lists for Temporal Point Process

tensor-factorization

Tensor Factorization via Matrix Factorization

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-rnn-events-prediction

Tensorflow Recurrent Neural Network (RNN) model to analyse Time Series in GDELT News dataset to predict future events.

tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版

tensorflow_ctc_example

A short example of training a bidirectional LSTM model with connectionist temporal classification

test

teva

Topic Evolution Analysis - an algorithm for analyzing knowledge flow in text based corpora

text_convnet

Molding CNNs for text (http://arxiv.org/abs/1508.04112)

text_pdf

tf_multiclass

TensorFlow multiclass classification losses and loss accessories.