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acwj

A Compiler Writing Journey

awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

basin_entropy

basins.jl

brainmodels

Brain models implementation with BrainPy

cheatsheets

Cheatsheet for Data Science and Web Development

classical-search-algorithms

complete-python-course

A repository of code from my Complete Python Course on Udemy.

computational-neuroscience

Computational NeuroScience is a rigorous 8-week course in Coursera from University of Washington that focus on basic computational techniques for analyzing, modelling and understanding the behaviour of cells and circuits in the brain.

computational-neuroscience-1

Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.

computational-science-i

My solutions to the UZH module "Computational Science 1" (QGD411) by Dr. P. Saha

computational_physics_in_python

A repository of codes for computational physics in Python.

data-gen-keras

This repository is associated with the blog post on "Data Generators with Keras and Tensorflow on Google Colab"

dde

Integration of delayed differential equation with Runge-Kutta 4 method

deeplearningmadeeasy

Examples to start working in deep learning (DL), a subfield of machine learning (ML).

dstipping

dynamics

eeg_simulator

An EEG Simmulator for Computational NeuroScience

eicu-gnn-lstm

This repository contains the code used for Predicting Patient Outcomes with Graph Representation Learning (https://arxiv.org/abs/2101.03940).

extremeevents

fractal-dimension-calculator

A fractal dimension calculator using Python, scikit-learn, etc.

fractal-dimensions

Estimating the fractal dimension of an image using the box counting approach

fractal-market-analysis

We are hard pressed to find a concrete implementation of both Benoit Mandelbrot's "A Multifractal Model of Asset Returns" and Edgar E. Peters' "Fractal Market Analysis" so, with apologies to the Authors, we attempt to fill this vacancy.

fractals_related

ggn

Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction

gita

graphino

Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks". This paper is currently under review.

graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

grkf45

GPU RKF45 (Runge–Kutta–Fehlberg) ODE solver written in pycuda/python3