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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

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.

data-analysis

Data Science Using Python

data_science

Jupyter Notebook for sklearn, tensorflow, PySpark, seaborn...

databricks-cli

Command Line Interface for Databricks

datascienceontology

Data Science Ontology

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

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

delayed-flights

Exploring and predicting the probability of flights being delayed at airports across the United States given prior flight records. Apache Spark is used in processing the dataset.

divnet

diversity estimation under ecological networks

dna

A python script to encode/decode arbitrary computer files into DNA sequences.

e-dop

Automatically exported from code.google.com/p/e-dop

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

foss-python-geospatialanalysis

Jupyter notebooks and presentations of the workshop

gcnn

A graph convolutional neural network for classification of building patterns using spatial vector data

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