Ods Libraries

14 Components & Libraries

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Ods Libraries

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

After some recent success of Bayesian methods in machine-learning competitions, I decided to investigate the subject again. Even with my mathematical background, it took me three straight-days of rea…

CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites.

Automated script for Whole Foods and Amazon Fresh delivery slot

Yes, amid COVID-19 trying to get Whole Foods and Amazon Fresh delivery slots can get cumbersome. To free you off the constant hassle of checking for slots (and almost never finding one), this automat…

Machine Learning notebooks for refreshing concepts.

Helpful jupyter noteboks that I compiled while learning Machine Learning and Deep Learning from various sources on the Internet. Linear & Multiple Regression Logistic Regression Regularization

An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.

The recommended way to fully experience the book is by running the Jupyter notebooks: You can test your installation by running

Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.

It is an extension module of Python which is mostly written in "C". It provides various functions which are capable of performing the numeric computations with a high speed. NumPy provides various po…

Machine_Learning_Algorithms_from_Scratch

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

This repository explores the variety of techniques anf alorithm commonly used in machine learning and the implementation in MATLAB and PYTHON. Alogrithm used are : Extract the ZIP and open it. Unfort…

A python package for graph kernels, graph edit distances, and graph pre-image problem.

A Python package for graph kernels, graph edit distances and graph pre-image problem. to make this effective permanently. Check this paper for detailed description of graph kernels and experimental r…

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

Required Files: Linear regression is a linear approach to model the relationship between a scalar response (dependent varaible) and one or more explanatory variables (independent variables). The case…

:dart: Accurate sums and dot products for Python.

Summing up values in a list can get tricky if the values are floating point numbers; digit cancellation can occur and the result may come out wrong. A classical example is the sum which, given a len…

Modular and scalable computational imaging in Python with GPU/out-of-core computing.

In the realm of computer vision 📷, digital image restoration and enhancement techniques have established themselves as indispensable pillars. These techniques, aiming to restore and elevate the qual…

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

[IEEE TCYB 2021] Official Python implementation for Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network

With the development of Earth observation technology, very-high-resolution (VHR) image has become an important data source of change detection. Nowadays, deep learning methods have achieved conspicuo…

Artificial intelligence (AI, ML, DL) performance metrics implemented in Python

Please include these citations if you plan to use this library: After installation, you can import Permetrics as any other Python module: Below is the most efficient and effective way to use this lib…

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