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torchcoder

PyTorch based autoencoder for sequential data

tracklib

tracking algorithm

transdim

Machine learning for transportation data imputation and prediction.

transfor19

[Transportation Forecasting Competition]

transform-based-tensor-model-matlab

transformer-time-series-forecasting

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

transvae

A Transformer Based VAE Architecture for De Novo Molecular Design

trmf

A pythonic library of matrix decomposition methods for multivariate time-series.

trmf-1

Temporal Regularized Matrix Factorization

tspn

Tensor Sum-product Networks

tt

Article of Tensor Decomposition and Deep Learning

tt-pytorch

tt-toolbox

The git repository for the TT-Toolbox

tt_kernel

tt_rnn

ttapplications

ttmodule

A take on the Tensor Train decomposition

ttnpe

This is the demo code for paper "Tensor Train Neighborhood Preserving Embedding"

ttoi

Matlab function and examples for performing the Tensor Train Orthogonal Iteration (TTOI) algorithm. This algorithm estimates tensors with low rank tensor train structure when its observation is noisy.

ttpy

Python implementation of the TT-Toolbox

ttrecipes

Metamodeling, sensitivity analysis and visualization using the tensor train format

unet

unet for image segmentation

unsupervised-image-segmentation-persistent-homology

Persistent Homology, Topological Data Analysis, Persistence diagrams, Rips-Vietoris complexes, covering tree, traversal algorithm

var-tensor

Julia codes in "High-dimensional vector autoregressive time series modeling via tensor decomposition"

video-analysis-tensor-decomposition

Video Analysis with Tensor Decomposition in Python

video-frame

Simple video frame prediction using deep learning

video-frame-prediction

In this repository, we focus on video frame prediction the task of predicting future frames given a set of past frames. We present an Adversarial Spatio-Temporal Convolutional LSTM architecture to predict the future frames of the Moving MNIST Dataset. We evaluate the model on long-term future frame prediction and its performance of the model on out-of-domain inputs by providing sequences on which the model was not trained.

video-prediction-using-pytorch

Video Predicting using ConvLSTM and pytorch

vmls-companions

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.