yeniherdiyeni

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

COVID-19

Automated Detection of COVID-19 Cases Using Deep Neural Networks with X-Ray Images

cowin-vaccination-slot-availability

Script to check the available slots for Covid-19 Vaccination Centers from CoWIN API in India.

datascienceontology

Data Science Ontology

Deep-Learning-for-Tracking-and-Detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

deep_learning_ecology

Educational Resources on Neural Networks for Ecology and Remote Sensing

DivNet

diversity estimation under ecological networks

Ecological-Network-Analysis

feature-engineering-tutorials

Data Science Feature Engineering and Selection Tutorials

FirstCourseNetworkScience

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

geograph

GeoGraph provides a tool for analysing habitat fragmentation and related problems in landscape ecology. GeoGraph builds a geospatially referenced graph from land cover or field survey data and enables graph-based landscape ecology analysis as well as interactive visualizations.

Graph-Machine-Learning

Graph Machine Learning, published by Packt

graph-theory

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

Hands-On-Artificial-Intelligence-on-Google-Cloud-Platform

Hands-On Artificial Intelligence on Google Cloud Platform published by Packt.

hands-on-time-series-analylsis-python

Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

ImageAI

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

kglab

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

Machine-Learning-Projects

Solved end-to-end machine learning projects

machine-learning-with-ontologies

Network-Analysis-Made-Simple

An introduction to network analysis and applied graph theory using Python and NetworkX

networks-science-course

A course on Network Science, including network formation models, structural patterns, and dynamic processes.

ontologies-w-python

Source Code for 'Ontologies with Python' by Lamy Jean-Baptiste

ontology-tutorial

Ontology Tutorial

prml

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

PUBH6859

py4fi2nd

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

Python-Feature-Engineering-Cookbook

Python Feature Engineering Cookbook, published by Packt

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

wildbook-ia

Wildbook's Image Analysis (WBIA) backend service supporting machine learning for wildlife conservation