tripleess Goto Github PK

highway-traffic-dynamics-kmd-code

homework_fall2019

hottbox

HOTTBOX: Higher Order Tensors ToolBOX.

hottbox-tutorials

:orange_book: HOTTBOX: Higher Order Tensors ToolBOX. Tutorials

house-price-prediction

Predicting house prices using Linear Regression and GBR

hpc-python

Python in High Performance Computing

icqm

MATLAB script for approximating the solution to the integer convex quadratic minimization problem

ieee_jstars_rlml

Danfeng Hong, Naoto Yokoya, Xiaoxiang Zhu. Learning a Robust Local Manifold Representation for Hyperspectral Dimensionality Reduction, IEEE JSTARS, 2017.

ieee_weather

Spatio-temporal Numerical Weather Forecasting Pipeline. It has the code for the introduced weather model architecture

iitp_earthquakes

Project about predicting earthquakes in Japan

intrinsic-dimension

Python code for intrinsic dimension estimation of generic datasets

introduction-to-python

A basic class on Python

invariant

Dimensionality Reduction by Learning an Invariant Mapping

johnwlambert.github.io

keras-attention-mechanism

the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rather than timesteps in the origin project。

keras-attention-mechanism-1

Attention mechanism Implementation for Keras.

kernel-principal-component-analysis-kpca

KPCA for dimensionality reduction, feature extraction , fault detection, and fault diagnosis

koopman

Koopman Mode Decomposition

koopmanmpc_for_flowcontrol

A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control

kronic

Koopman Reduced-Order Nonlinear Identification and Control

ksttm

Matlab Codes for Kernelized Support Tensor Train Machines (KSTTM)

l1-norm-tucker-tensor-decomposition

Algorithms for outlier-resistant L1-norm Tucker Tensor Decomposition

lagrangian_nns

Lagrangian Neural Networks

latent_ode

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

ldmm

A manifold learning algorithm

learn-linalg

Learning some numerical linear algebra.

learning2learn

This repository implements the architecture proposed by Verdon et al. in the paper Learning to learn with quantum neural networks via classical neural networks, using PennyLane and TensorFlow.

liboptpy

Implementation of various optimization methods

lrr2

MATLAB scripts to reproduce the results of our NIPS 2006 paper

lstnet