Pinned Repositories
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's Repositories
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