This repository contains functions for obtaining posterior samples of allocation variables in multiple Bayesian over-fitted (sparse finite) mixed-scale mixture models. Mixture models included: 1) Bayesian Tensor Mixture of Product Kernels model (BayesTMPK), 2) Modularized Tensor Factorizations (MOTEF), 3) Bayesian Mixture of Product Kernels (Bay…

This is a generalized neural network package with clean and transparent API for the javascript.

PyTorch implementation of the paper Exploiting Elasticity in Tensor Ranks for compressing Neural Networks.

tensorized sqra

home page and doumentations of parallel scalable simulation tool of time-denpent Ginzburg-Landau effective theory.

code for kassandra prediction engine

University individual project concerning the design of a Convolutional Neural Network and the use of Transfer Learning for Image Classification.

Arbitrary style transfer using TensorFlow.js

High-order Lloyd algorithm for multiway clustering of tensor data.

Emotion detector using keras, tensorflow and opencv-python.

RUNE: RUsty Neural Engine

Benchmark for basic operations of torch.tensor

ANT is a NdArray which is developing in c++ and Cuda. It is an educational project for self-learning.

Contract programming for Pytorch, Numpy

Small package to compute cosmic web properties and classification.

Understanding neural network libraries and the automatic gradient computations (autograd) in the backward pass

PlayTorch is a framework for rapidly creating mobile AI experiences.

Applied Linear Algebra

A Fortran library for working with low-rank matrices and tensors.

This is my repo for "Intro to Deep Learning" college course.