Jose Daniel Lara's Projects
Lecture notes and problem sets for MIT class 6.S083 fall 2019
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Experiments calling Julia from Python
Source code for the examples accompanying the paper "Learning convex optimization control policies."
Differentiation for Hackers
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Errata to Decision Making Under Uncertainty: Theory and Application
A collection of useful .gitignore templates
GPU + OpenCL Value Function Iteration for Macro Models
What scienfitic programmers must know about CPUs and RAM to write fast code.
Julia wrapper for the HiGHS solver
Julia interface to the Ipopt nonlinear solver
Typesetting Julia in TEX files.
Linear Algebra tutorials written in pure Julia. This repository contains tutorials that go alongside the textbook Introduction to Linear Algebra by Gilbert Strang.
Math 228A 2019 Fall
Vehicle Dynamics and Control at UC Berkeley
MEPO (Modular Energy Planning and Operations) model: A clustered integer formulation for electric power generation planning, unit commitment, and production cost modeling in GAMS/CPLEX.
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
A JuMP extension to use parameter in constraints RHS
GSOC 2020 project
Benchmarks for the Unit Commitment Problem
Parser of PSS/E-format Power Flow Raw Data Files (.raw)
A Julia/JuMP Package for Power Network Optimization
Julia package to run Dynamic Power System simulations. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.
Data structures in Julia to enable power systems analysis. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.
Pygments is a generic syntax highlighter written in Python
Python Implementation of Reinforcement Learning: An Introduction