ankurankan

pgmpy

Python Library for Probabilistic Graphical Models

ankurankan.github.io

Bayesian Learning, Python and Random Thoughts

ankurankan.github.io-source

Source for blog at ankurankan.github.io

ethereum_data

Script to fetch block and transaction data from ethereum blockchain and store in a csv

graphical-models

Probabilistic Graphical Models from Scratch with support for LWF Chain Graphs

2020-dagitty-manual

Code and datasets for the dagitty manual

assignments

Assignments

buffer_bci

Simple Matlab/Octave based framework for building Brain Computer/Machine Interfaces (BCI/BMI)s

computer_algebra

Assignments for computer algebra

dagitty

Graphical analysis of structural causal models / graphical causal models.

dotfiles

My configuration

euroscipy2018

Presentation for Explaining Model Predictions using Shapley Values

game_of_life

Conway's game of life

geomstats

Computations and statistics on manifolds with geometric structures.

glazy-data-analysis

Glaze firing temperature prediction using recipes in the Glazy database.

kaggle_fish

Kaggle Fisheries Monitoring

machine-learning

medical_imaging

Assignments for Medical Imaging

microsimulations

numerai_models

paper_summaries

personal_website

Personal Website

pollution_data

Live pollution data of Indian cities

presentations

Presentations

probability

Probabilistic reasoning and statistical analysis in TensorFlow

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

statsmodels

Statsmodels: statistical modeling and econometrics in Python

test

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

thread-painting

Generate thread painting from any given image