tripleess Goto Github PK

ecg-heartbeat-classification

Human heart arrhythmia classification based on the MIT-BIH ECG data set with random Fourier feature GLM and kernel parameter estimation.

edp

Experimental Data Processing course at Skoltech

ee227c.github.io-optimization

EE227C (Spring 2018) Course page

efficientnet-pytorch

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

encode

Method for encoding brain connectomes in multidimensional arrays (tensors).

extractgooglescholarcitations

The matlab code to extract the list of publications of a personal author from Google Scholar Citations from only url (user id). Text Analytics toolbox is necessary.

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

fastpde2016

Skoltech fastpde 2016 course

frac-ord-nn

Convolutional neural networks

framesequenceprediction

FSPNet: Video Sequence Prediction with CPC

from_fourier_to_koopman

Linear and non-linear spectral forecasting algorithms

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

fundamental-pandas

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gensim

Topic Modelling for Humans

geometric-machine-learning-algorithms

Here are some geometric machine learning algorithms I wrote.

geoplot

High-level geospatial data visualization library for Python.

gian-applied-nla-course

Materials for the GIAN Course "Modern Applications of Numerical Linear Algebra Methods"

globaltempforecasting

Predicting future temperatures for different cities based on geographic location and concentrations of atmospheric pollutants.

gmml

ENSAE project for the class "Geometric Methods in Machine Learning", Spring 2018

gmml2018

good-papers

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

graph_convolutional_lstm

Traffic Graph Convolutional Recurrent Neural Network

graphdmd

Dynamic mode decomposition with dependent structure among observables (Graph DMD)

hamiltonian_networks

Hamiltonian Neural Networks for solving Differential Equations

harris-hawks-optimization-algorithm-and-applications-

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

heartdisease_project1

hierarchicalneuralfinancialforecasting

Project for Models of sequential data course at skoltech 2021

highway-traffic-dynamics-kmd-code

homework_fall2019