jd-lara

actions_test

mepo

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.

PowerFlowData.jl

Parser of PSS/E-format Power Flow Raw Data Files (.raw)

PowerModels.jl

A Julia/JuMP Package for Power Network Optimization

PVCR

UnitCommitment.jl

Optimization package for the Security-Constrained Unit Commitment Problem

PowerNetworkMatrices.jl

Methods to generate matrix representations of power systems matrices

PowerSimulations.jl

Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

PowerSimulationsDynamics.jl

Julia package to run Dynamic Power System simulations. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

PowerSystems.jl

Data structures in Julia to enable power systems analysis. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

jd-lara/actions_test

jd-lara/PowerFlowData.jl

Parser of PSS/E-format Power Flow Raw Data Files (.raw)

jd-lara/PowerModels.jl

A Julia/JuMP Package for Power Network Optimization

jd-lara/PVCR

jd-lara/UnitCommitment.jl

Optimization package for the Security-Constrained Unit Commitment Problem

jd-lara/6.S083

Lecture notes and problem sets for MIT class 6.S083 fall 2019

jd-lara/annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

jd-lara/call-julia-from-python-experiments

Experiments calling Julia from Python

jd-lara/cocp

Source code for the examples accompanying the paper "Learning convex optimization control policies."

jd-lara/diff-zoo

Differentiation for Hackers

jd-lara/DiffEqDocs.jl

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

jd-lara/hardware_introduction

What scienfitic programmers must know about CPUs and RAM to write fast code.

jd-lara/HiGHS.jl

Julia wrapper for the HiGHS solver

jd-lara/Ipopt.jl

Julia interface to the Ipopt nonlinear solver

jd-lara/jd-lara

jd-lara/JuliaTEX

Typesetting Julia in TEX files.

jd-lara/LinAlgTuts.jl

Linear Algebra tutorials written in pure Julia. This repository contains tutorials that go alongside the textbook Introduction to Linear Algebra by Gilbert Strang.

jd-lara/MATH228A

Math 228A 2019 Fall

jd-lara/open-energy-modeling-benchmarks

jd-lara/OrdinaryDiffEq.jl

High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

jd-lara/ParameterJuMP.jl

A JuMP extension to use parameter in constraints RHS

jd-lara/ParametricOptInterface.jl

GSOC 2020 project

jd-lara/PowerSimulations.jl

Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

jd-lara/PowerSimulationsDynamics.jl

Julia package to run Dynamic Power System simulations. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

jd-lara/PowerSystems.jl

Data structures in Julia to enable power systems analysis. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

jd-lara/pygments

Pygments is a generic syntax highlighter written in Python

jd-lara/SDDP.jl

Stochastic Dual Dynamic Programming in Julia

jd-lara/TimeMachine.jl

A CPU- and GPU-friendly package for solving ordinary differential equations

jd-lara/TypeSortedCollections.jl

Type-stable operations on type-heterogeneous collections

jd-lara/UWPFlow

UW Continuation Power Flow (c)1992,1996,1999, 2006 C. Canizares, F. Alvarado and S. Zhang.