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knowledge-graph-demo_00

largevis

implentation of largevis

largevis-1

largevis-python3

LargeVis port to python3

learn-wavelets

Jupyter notebooks to keep my learning notes about wavelet theory

line

TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.

line-test

LINE: Large-scale information network embedding

linear-tree

A python library to build Model Trees with Linear Models at the leaves.

master-thesis

In my thesis I want to investigate the effectiveness of different manifold manipulation techniques on the performance of transformer based time series forecasting methods. Transformer models can work with time series , however, those sequence-to-sequence models rely on neural attention between timesteps, which allows for temporal learning but fails

mdgcn

Multiscale Dynamic Graph Convolutional Network for hyperspectral image classification

mdpc

code of MDPC (Density Peak Clustering using global and local consistency adjustable manifold distance，Information Sciences, 2021 )

mdpc-decoder

medium_notebook

Repository containing notebooks of my posts on Medium

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

neural-component-analysis

This repository is mainly to show the source code of neural component analysis.

nlpaug

Data augmentation for NLP

orion

A machine learning library for detecting anomalies in signals.

pcic-2021-track1

PCIC 2021 Track1: Causal Discovery

pycopent

Estimating Copula Entropy (Mutual Information) and Transfer Entropy (Conditional Independence) in Python

scgae

single-cell graph autoencoder

scmgca

"Topological Identification and Interpretation for Single-cell Gene Regulation Elucidation across Multiple Platforms using scMGCA" in Nature Communications 2023

sdg

Sequence Distance Graph framework: graph + reads + mapping + analysis

shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

smallvis

R package for dimensionality reduction of small datasets

som-tsp

Solving the Traveling Salesman Problem using Self-Organizing Maps

sp500-stock-similarity-time-series

Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co-integration, Euclidean and Pearson.

spring01

spring02

spring03