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a3c_trading

Trading with recurrent actor-critic reinforcement learning

airflow-provider-sample

A template repo for building and releasing Airflow provider packages.

analyzingalpha

data-science-5620-fall-2021

Course website for the Fall 2021 semester of Data Science 5620 at Vanderbilt University.

docker-stacks

Ready-to-run Docker images containing Jupyter applications

dsnd_term2

Contains files related to content and project of DSND Term 2

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

langchain-dev

⚡ Building applications with LLMs through composability ⚡

mongo-spark-jupyter

Docker environment that spins up MongoDB replica set, Spark, and Jupyter Kab. Example code uses PySpark and the MongoDB Spark Connector.

ootm-option-pricing-with-power-laws-and-news

Uses math heuristics and formulas published in Nassim Taleb's Statistical Consequences of Fat Tails book to price OOTM options. Tries to predict whether options will be valuable based on sentiment analysis in news.

openai_agent_swarm

Early experiment to create fully autonomous agent swarms

pyspark-style-guide

This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.

python-training

Python training for business analysts and traders

pythondatasciencefullthrottle

Downloads for my Safari Online Learning live training course Python Data Science Full Throttle: Introductory Artificial Intelligence (AI), Big Data and Cloud Case Studies

spark-standalone-cluster-on-docker

Learn Apache Spark in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker. :zap:

taskweaver

A code-first agent framework for seamlessly planning and executing data analytics tasks.

trace-ark-trades

Record all purchases and sales made by ARK Invest from 11/12/2019 to the present and visualize these trades via TradingView