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Name: TripleEss
Type: User
Bio: BTech Electrical engineering IUST J&K MSc Data Science Skolkovo Institute of Science and Technology, Moscow
Name: TripleEss
Type: User
Bio: BTech Electrical engineering IUST J&K MSc Data Science Skolkovo Institute of Science and Technology, Moscow
MATLAB codes for computing various tensor decomposition.
Apply CP, Tucker, TT/TR, HT to compress neural networks. Train from scratch.
An implementation of various tensor-based decomposition for NN & RNN parameters
Clean repo for tensor-train RNN implemented in TensorFlow
Tensor Train Dynamic Mode Decomposition
LaTeX Templates
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
Code for the paper "Tensorizing Generative Adversarial Nets"
Code for implementing results in "Classifying RGB Images with multi-colour Persistent Homology"
TianChi AIEarth Contest Solution
Scientific time series and deep learning state of the art
Time Series Prediction with LSTM Using PyTorch
time series forecasting using pytorch,including ANN,RNN,LSTM,GRU and TSR-RNN,experimental code
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
This repo contains the information for TKDE paper: Spatio-temporal Multi-task Learning via Tensor Decomposition
Tensor Network Kalman filter
Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775
Tensor Network Learning with PyTorch
Topochecker, a topological model checker
Topological Priors for Image segmentation
An implementation of Denoising Variational AutoEncoder with Topological loss
Final Project for M2 MVA course: Deformable models and geodesic methods for image analysis
A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch
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.