Software Scripts for Statistics Book

A Julia interface to AMPL-enabled solvers

Convex Over and Under Envelopes for Nonlinear Estimation

A data structure for mathematical optimization problems

Package for ChE 140 and ChE 150 eCornell certificate programs.

Package for S4 modeling of sequence data

Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.

Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)

Repository for the eCornell CHEME 140 certificate series

Labs repository for CHEME 5800 Fall 2025

Lecture repository for CHEME 5800 Fall 2025

Benchmarking library for generative models of Limit Order Book data (LOBSTER)

Benchmarking library for generative models of Limit Order Book data (LOBSTER)

Repository for CHEME 5660 for the Fall 2025 Semeter

An object-oriented algebraic modeling language in Python for structured optimization problems.

[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Polygon Technical Docs

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

MambaStock: Selective state space model for stock prediction

Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning

A Julia style guide that lives in a blue world

Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar

List of the books for the Probability&Statistics course

TradingAgents: Multi-Agents LLM Financial Trading Framework

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

Companion webpage to the book "Mathematics For Machine Learning"