Pinned Repositories
aas
Code to accompany Advanced Analytics with Spark from O'Reilly Media
aiffd2007
R versions of boxed examples for the Analysis and Interpretation of Freshwater Fisheries Data (2007)
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
biocaster-ontology
Automatically exported from code.google.com/p/biocaster-ontology
biospytial
A spatial graph-based computing engine for ecological big data
Bokeh-Python-Visualization
A Bokeh project developed for learning and teaching Bokeh interactive plotting!
building-and-mining-knowledge-graphs-course-materials
This repository contains educational materials for a Masters course on knowledge graphs developed by the Institute of Data Science at Maastricht University
building-ml-and-dl-models-on-gcp
Source code for 'Building Machine Learning and Deep Learning Models on Google Cloud Platform'
cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Computational-statistics-with-Python
Resources for STA 633 class
yeniherdiyeni's Repositories
yeniherdiyeni/cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
yeniherdiyeni/COVID-19
Automated Detection of COVID-19 Cases Using Deep Neural Networks with X-Ray Images
yeniherdiyeni/cowin-vaccination-slot-availability
Script to check the available slots for Covid-19 Vaccination Centers from CoWIN API in India.
yeniherdiyeni/datascienceontology
Data Science Ontology
yeniherdiyeni/Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
yeniherdiyeni/deep_learning_ecology
Educational Resources on Neural Networks for Ecology and Remote Sensing
yeniherdiyeni/DivNet
diversity estimation under ecological networks
yeniherdiyeni/Ecological-Network-Analysis
yeniherdiyeni/feature-engineering-tutorials
Data Science Feature Engineering and Selection Tutorials
yeniherdiyeni/FirstCourseNetworkScience
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
yeniherdiyeni/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.
yeniherdiyeni/Graph-Machine-Learning
Graph Machine Learning, published by Packt
yeniherdiyeni/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
yeniherdiyeni/Hands-On-Artificial-Intelligence-on-Google-Cloud-Platform
Hands-On Artificial Intelligence on Google Cloud Platform published by Packt.
yeniherdiyeni/hands-on-time-series-analylsis-python
Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel
yeniherdiyeni/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.
yeniherdiyeni/ImageAI
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
yeniherdiyeni/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.
yeniherdiyeni/Machine-Learning-Projects
Solved end-to-end machine learning projects
yeniherdiyeni/machine-learning-with-ontologies
yeniherdiyeni/Network-Analysis-Made-Simple
An introduction to network analysis and applied graph theory using Python and NetworkX
yeniherdiyeni/networks-science-course
A course on Network Science, including network formation models, structural patterns, and dynamic processes.
yeniherdiyeni/ontologies-w-python
Source Code for 'Ontologies with Python' by Lamy Jean-Baptiste
yeniherdiyeni/ontology-tutorial
Ontology Tutorial
yeniherdiyeni/prml
Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop
yeniherdiyeni/PUBH6859
yeniherdiyeni/py4fi2nd
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
yeniherdiyeni/Python-Feature-Engineering-Cookbook
Python Feature Engineering Cookbook, published by Packt
yeniherdiyeni/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
yeniherdiyeni/wildbook-ia
Wildbook's Image Analysis (WBIA) backend service supporting machine learning for wildlife conservation