- Princeton, NJ
- https://shreyas.finance/
Highlights
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Mundi.ai is an open source, AI-native web GIS. Host, explore, and analyze spatial data.
mundipy is a Python framework for spatial data manipulation
Python library for converting Python calculations into rendered latex.
Curated research at the intersection of causal inference and natural language processing.
Python Data Science Handbook: full text in Jupyter Notebooks
ezIBpy, a Pythonic Client for Interactive Brokers API
Notebooks for Applied Causal Inference Powered by ML and AI
Modin: Scale your Pandas workflows by changing a single line of code
ISDA day-count conventions with year-fractions and daycounts
Fast, approximate math functions for numpy (log, exp, sin, cos)
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Download market data from Yahoo! Finance's API
Technical Analysis Library using Pandas and Numpy
A community based Python library for quantitative economics
A python script to scrape historical treasury yield curves.
Text mining, topic modeling, and sentiment analysis are applied to FOMC meeting minutes.
Streamlit — A faster way to build and share data apps.
Basic inference with Hidden Markov Models
Inference for partially observed Markov chains
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Julia implementation of QuantEcon routines
Projections of COVID-19, in standardized format
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE