Ravin Kumar

bayesian-model-evaluation. Presented at Scipy Conference 2019

GenAiGuidebook. Jupyter Notebook

PyTestforDataScience_PyDataLA. Pytest for Data Science Beginners

PythonforHackers. But actually for hackers

ai_agent_basics. Jupyter Notebook

ai_finetuning_basics.

ssm_book_club. Jupyter Notebook

causal_inf_bookclub. Supporting material for the book club

ai_app_basics. Jupyter Notebook

IntuitiveLLMs. From first principles to practical tips

PyDataGlobal_2020. Bayesian Decision Making

canyon289.github.io. My Github Page

pyladies-bayes. October 2019 Tutorial for the Pyladies Los Angeles gorup

bambi_livestream. Get a bambi v4 model working

ProbabilityResources. Collection of Cliffnotes for myself on probability

ai_image_agent. Jupyter Notebook

pyscript_stream. HTML

ci_cd_test. Creating a CI/CD workflow thatll publish an issue every night automatically

Intro_to_sql_April_2020. Taught as part of 23b meetup

sweetgreen. A collection of analyses and code to explore sweetgreen

intro_to_pydata. Python

Kalman-and-Bayesian-Filters-in-Python. Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

hide_code. Code, prompt and output hiding for Jupyter/IPython notebooks.

gemma. Open weights LLM from Google DeepMind.

awesome-for-beginners. A list of awesome beginners-friendly projects.

bayesian-stats-modelling-tutorial. How to do Bayesian statistical modelling using numpy and PyMC3

causal_inference_mixtape. A port of Causal Inference Mixtape in python