Aminur Rhaman Amin's Projects
This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.
Config files for my GitHub profile.
Curated Collection of BCI resources
Barabási–Albert Network. A Step-by-Step Model with Visualizations created in Python 3.
10 Weeks, 20 Lessons, Data Science for All!
The Open Source Data Science Masters
Deep Learning with PyTorch, published by Packt
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Randomized Distributed, Vizing, Topological Sort, DFS, BFS
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A collection of workshop materials.
Python Script that can investigate the robustness of a network by simulating failures and target attacks
Network Science with Python and NetworkX Quick Start Guide, published by Packt
A course on Network Science, including network formation models, structural patterns, and dynamic processes.
Material for Pybrain 2020 MNE-Python workshop
An open-source, low-code machine learning library in Python
https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
A repository of R usage tips for data cleaning, data mining, data visualisation, statistical inference and machine learning