Arun-Verma

bqplot

Plotting library for IPython/Jupyter Notebooks

causal-learn

Causal Discovery for Python. Translation and extension of the Tetrad Java code.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

example-causal-datasets

Example causal datasets with consistent formatting and ground truth

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

Python-Scratchpad

quant-research

A collection of projects published by Bloomberg's Quantitative Finance Research team.

QuantStudies

Quantitative finance notebooks

scatteract

Project which implements extraction of data from scatter plots

quant-research

A collection of projects published by Bloomberg's Quantitative Finance Research team.

Arun-Verma/bqplot

Plotting library for IPython/Jupyter Notebooks

Arun-Verma/causal-learn

Causal Discovery for Python. Translation and extension of the Tetrad Java code.

Arun-Verma/dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Arun-Verma/example-causal-datasets

Example causal datasets with consistent formatting and ground truth

Arun-Verma/markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

Arun-Verma/Python-Scratchpad

Arun-Verma/quant-research

A collection of projects published by Bloomberg's Quantitative Finance Research team.

Arun-Verma/QuantStudies

Quantitative finance notebooks

Arun-Verma/scatteract

Project which implements extraction of data from scatter plots