roaked

AdditiveManufacturing-CURA

3D printer / slicing GUI built on top of the Uranium framework

ai-safety-gridworlds

This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.

autonomous-vehicle-system-identification

modeling autonomous guided vehicle using MATLAB Simulink. deterministic and stochastic system identification

battery-degradation-forecast

pybamm framework for battery simulation

fake-news-machine-learning-fuzzy-inference

detecting fake news using linguistic features. ML techniques ranging from hard and soft-clustering to fuzzy inference systems and neural networks. included FMID5 - Fuzzy Model Identification toolbox in MATLAB

genetic-algorithm-optimization

bin packing problem best fit and metaheuristics. genetic algorithm, bonus particle swarm optimization. comparing both algorithms

hamiltonian-paths

cool Fortran implementation of linked lists for traversing through nodes and finding the hamiltonian path (dynamically)

redbull-drone-computer-vision

modeling system dynamics incl. actuators and continuous / discrete controller designs in MATLAB Simulink integrated computer vision using segmentation

robotics-kinematics-dynamics-and-control

kinematics, newton-euler dynamics and centralized/decentralized control of a KUKA robotic gripper -- up next safe reinforcement learning with optimistic exploration instead of trajectory planning. 2019

snake-evolutionary-reinforcement-learning

parameter optimization of a reinforcement learning deep Q network with memory replay buffer using genetic algorithm in the snake game. base code for snake env from codecamp

roaked/redbull-drone-computer-vision

modeling system dynamics incl. actuators and continuous / discrete controller designs in MATLAB Simulink integrated computer vision using segmentation

roaked/robotics-kinematics-dynamics-and-control

kinematics, newton-euler dynamics and centralized/decentralized control of a KUKA robotic gripper -- up next safe reinforcement learning with optimistic exploration instead of trajectory planning. 2019

roaked/autonomous-vehicle-system-identification

modeling autonomous guided vehicle using MATLAB Simulink. deterministic and stochastic system identification

roaked/battery-degradation-forecast

pybamm framework for battery simulation

roaked/genetic-algorithm-optimization

bin packing problem best fit and metaheuristics. genetic algorithm, bonus particle swarm optimization. comparing both algorithms

roaked/hamiltonian-paths

cool Fortran implementation of linked lists for traversing through nodes and finding the hamiltonian path (dynamically)

roaked/snake-evolutionary-reinforcement-learning

parameter optimization of a reinforcement learning deep Q network with memory replay buffer using genetic algorithm in the snake game. base code for snake env from codecamp

roaked/AdditiveManufacturing-CURA

3D printer / slicing GUI built on top of the Uranium framework

roaked/BayesianOptimization

A Python implementation of global optimization with gaussian processes

roaked/carla

Open-source simulator for autonomous driving research.

roaked/competitive-programmer-bot

roaked/deap-evolutionary-computation

Distributed Evolutionary Algorithms in Python

roaked/fake-news-machine-learning-fuzzy-inference

detecting fake news using linguistic features. ML techniques ranging from hard and soft-clustering to fuzzy inference systems and neural networks. included FMID5 - Fuzzy Model Identification toolbox in MATLAB

roaked/fastapi-uvicorn

roaked/finite-element-method-math-formulation

implementing a computational finite element program based on Prandtl stress partial differential equation for linearly analyzing torsional loading problems. C++ woulda been better for scalability

roaked/fun-shell-scripts

where to ski in winter

roaked/hugo-book

Hugo documentation theme as simple as plain book

roaked/imitation

Clean PyTorch implementations of imitation and reward learning algorithms

roaked/leetcode-codeforces

some of the solutions for leetcode problems. some have multiple solutions depending on the algorithms and data structures used, good use cases for programming lectures

roaked/mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

roaked/nonlinear-opt-pattern-search-phd

keywords: nonlinear optimization, pattern search, augmented lagrangian, karush-kuhn-tucker, constrained optimization, conjugate gradient methods, quasi newton methods, line search descent methods, onedimensional and multidimensional optimazation

roaked/programming-lectures

my lectures for beginner, intermediate, advanced programming courses. working on the algorithms based on the book 'Grokking Algorithms'. soon: coding for data scientists, pandas, numpy, scipy

roaked/pymc

Bayesian Modeling and Probabilistic Programming in Python

roaked/pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

roaked/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

roaked/roaked

GitHub config files

roaked/roaked.github.io

personal webpage for a researcher

roaked/RoboticsAlgorithm-Visualization

Python sample codes for robotics algorithms

roaked/spotify-downloader

Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found).

roaked/structure-from-motion-computer-vision

structure from motion (SfM) is the process of estimating the 3D structure of a scene from a set of 2D images. here I estimate the poses of a calibrated camera from two images, reconstruct the 3D structure of the scene up to an unknown scale factor, and then recover the actual scale factor by detecting an object of a known