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advanced-scientific-machine-learning

ME 697 - Advanced Scientific Machine Learning

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

alphageometry

apcemm

Aircraft Plume Chemistry, Emissions, and Microphysics Model

coax

Modular framework for Reinforcement Learning in python

data-analytics-se

ME 539 - Introduction to Scientific Machine Learning

ece595-ml2

Homework and Notes from ECE 595 Machine Learning 2 at Purdue

equinox

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

femtolisp

a lightweight, robust, scheme-like lisp implementation

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

gym

Seoul AI Gym is a toolkit for developing AI algorithms.

intromlstanford

Homework and Notes from Andrew Ng's ML course at Stanford

jax-bayes

Bayesian inference with Python and Jax.

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.

linear_operator

A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch

murakrishn

nasa-dr

Diagnostic Reasoning in Python

optionlab

A Python library for evaluating option trading strategies.

table-query-model

Table Query with ML

trick

Trick Simulation Environment. Trick provides a common set of simulation capabilities and utilities to build simulations automatically.

uq-course

Introduction to Uncertainty Quantification

vanilla-policy-gradient

VPG reinforcement learning algorithm in PyTorch