Ricardo Chin's repositories
battery-degradation-forecast
pybamm framework for battery simulation
redbull-drone-computer-vision
modeling system dynamics incl. actuators and continuous / discrete controller designs in MATLAB Simulink integrated computer vision using segmentation
autonomous-vehicle-system-identification
modeling autonomous guided vehicle using MATLAB Simulink. deterministic and stochastic system identification
hamiltonian-paths
cool Fortran implementation of linked lists for traversing through nodes and finding the hamiltonian path (dynamically)
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
AdditiveManufacturing-CURA
3D printer / slicing GUI built on top of the Uranium framework
BayesianOptimization
A Python implementation of global optimization with gaussian processes
deap-evolutionary-computation
Distributed Evolutionary Algorithms in Python
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
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
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
pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
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.io
personal webpage for a researcher
RoboticsAlgorithm-Visualization
Python sample codes for robotics algorithms
spotify-downloader
Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found).
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