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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

bayesianoptimization

A Python implementation of global optimization with gaussian processes

carla

Open-source simulator for autonomous driving research.

competitive-programmer-bot

deap-evolutionary-computation

Distributed Evolutionary Algorithms in Python

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

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

fastapi-uvicorn

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

fun-shell-scripts

where to ski in winter

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)

hugo-book

Hugo documentation theme as simple as plain book

imitation

Clean PyTorch implementations of imitation and reward learning algorithms

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

mit-deep-learning

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

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

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

pymc

Bayesian Modeling and Probabilistic Programming in Python

pytorch-classification-uncertainty

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

redbull-drone-computer-vision

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

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

GitHub config files

roaked.github.io

personal webpage for a researcher

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

roboticsalgorithm-visualization

Python sample codes for robotics algorithms

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