novothsz

neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

L2O-pMINLP

Differentiable Rounding Correction Layers

deps_arXiv2020

Differentiable predictive control (DPC) policy optimization examples.

TensoRF

[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields

tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

Software-Architecture-with-Cpp

Software Architecture with C++, published by Packt

JuliaTemplateRepo.jl

A repo with documentation on how to set up a Julia repo

Julia-Algorithms

It is a study guide for people who are interested in learning Classical Algorithms in Julia. The repository contains classical algorithms approaching different techniques such as graphs and dynamic programming. Each problem contains its description and implementation using Julia.

SCPToolbox_tutorial

Tutorials for SCPToolbox.jl

ESTM60203

Introduction to Operations Research

GraphsFlows.jl

Flow algorithms on Graphs.jl

optimizationAlgosPort

Python port for algorithms shown in "Algorithms for Optimization"

Algorithms-for-Optimization-Python

Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Tim A. Wheeler

MIPLearn

Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML)

Polyhedra.jl

Polyhedral Computation Interface

high_mpc

Policy Search for Model Predictive Control with Application to Agile Drone Flight

Crazyflie.jl

A julia package that can fly

admm_release

Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Models''

proxmin

Proximal optimization in pure python

ActiveSet

An active set method for sequential quadratic programming

ConstrainedOptimization

ip-nonlinear-solver

A trust-region interior-point method for general nonlinear programing problems (GSoC 2017).

crazyflie_nmpc

ROS stack with an efficient real-time NMPC for the Crazyflie 2.1

DirectCollocation

frenet-serret-frames

Compute Frenet-Serret frames for a path of 3D points and tangents.

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

TrajectoryOptimization.jl

A fast trajectory optimization library written in Julia

crazyflie-project

Simulation of and implementation of various methods of control for the crazyflie quadcopter

model-based-rl

Exposition of my model-based reinforcement learning research

CartPole_model_based_RL

Model-based RL methods for simple OpenAI problems