Ronojoy Adhikari (ronojoy)

ronojoy

Geek Repo

Company:University of Cambridge

Location:Cambridge, United Kingdom

Home Page:https://ronojoy.github.io

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Ronojoy Adhikari's repositories

pylearn

Bayesian machine learning in Python

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pybisp

This aims to be a collection of tools for performing Bayesian parameter estimation and model selection on stochastic processes. The immediate goal is to implement estimation methods

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pyddx

Differentiation matrices in Numpy

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pyddx-lectures

Lectures on partial differential equations using pyddx

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indus

Studies in the Indus civilization using combined methods

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mathematical-biology

Supplementary material for the Mathematical Biology course of the Mathematical Tripos at Cambridge University

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trackpy

Python particle tracking toolkit

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awesome-datascience

An awesome Data Science repository to learn and apply for real world problems.

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bayesian-belief-networks

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

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BDA_py_demos

Bayesian Data Analysis demos for Python

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indus-script-ocr

The Indus script optical grapheme recognition engine (from archaeological artifact images)

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maxent

weblog

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minimum-entropy

Static files for weblog

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nbody-simulation

Parallel N-Body Simulation with Barnes-Hut Approximation

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npf

code to host a professional site

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pomegranate

Graphical models for Python, implemented in Cython for speed.

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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 ;)

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PyLJFluid

Classical Simulations of LJ Fluids using Python

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pyman

Introduction to Python for Science

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PyProcess

Generate stochastic processes using Python. Unfortunately not maintained any longer =(

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pyray

Resources for ray tracing in python

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stochastic-processes

Stochastic processes for non-equilibrium statistical physics

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stochastic-processes-theoretical-physics

Supplementary material for the Part III course of the Mathematical Tripos at the Universit of Cambridge

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subgrid

Rupert's LB code with subgrid particles

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vextab

A VexTab Parser for VexFlow

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