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st_deeplearning

Code for the paper "A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning"

sum-product-networks

Sum-Product Networks in Python

superviseddmd

Supervised Dynamic Mode Decomposition (Supervised DMD)

survey_ai_drug_discovery

svm-and-machine-learning

This is an one class classification problem, which is based on support vecter domain description （SVDD）and Sequential minimal optimization（SMO）algorithm. This work has been tested on pubilc data set, like Iris data set from http://archive.ics.uci.edu/ml/datasets/Iris.

t3c_tensor_completion

tensor-train tensor completion (T3C), which is based on tt decomposition and gradient descent.

tamen

MATLAB implementation of the time-dependent AMEn algorithm in the tensor train format with the cell array storage.

tcn

Sequence modeling benchmarks and temporal convolutional networks

tda-digits

Topological features applied to the digits data set

tda-tutorial

A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.

tdalab

A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis

tdalayer

teaching_gmml

Repo for the course "Geometric Methods in Machine Learning" at ENSAE ParisTech.

temporal-fusion-transformer

tensor

matlab code for convex optimization based tensor decomposition (completion/denoising)

tensor-based-recommendation-system

tensor-decomposition

tensor-decomposition-completion-and-recovery-papers-and-codes

The collection of tensor decomposition, completion and recovery papers and codes.

tensor-decomposition-in-python

A short tutorial on implementing Canonical Polyadic (CP) tensor decomposition in Python

tensor-demo

A quickstart guide to tensor decomposition

tensor-gmm

Implementation of learning a Gaussian mixture model using tensor decomposition.

tensor-learning

Tutorials and Python codes for tensor factorization, tensor completion and tensor regression techniques.

tensor-networks

tensor-robust-principal-component-analysis-trpca

Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm

tensor-train-rank-minimization-with-smoothness-for-missing-data-recovery

code of tensor train rank minimization with smoothness for missing data recovery

tensorbox

Matlab package for Tensor decompositions

tensorfeatureextraction

Feature extraction by tensor decompositions

tensorized-rnn

A fully tensorized recurrent neural network using tensor-train decomposition

tensorly

TensorLy: Tensor Learning in Python.

tensornet-tf

TensorNet (TensorFlow implementation)