Ricardo Chin's Projects
3D printer / slicing GUI built on top of the Uranium framework
This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
modeling autonomous guided vehicle using MATLAB Simulink. deterministic and stochastic system identification
pybamm framework for battery simulation
A Python implementation of global optimization with gaussian processes
Open-source simulator for autonomous driving research.
Distributed Evolutionary Algorithms in Python
Deep Learning Specialization by Andrew Ng on Coursera.
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
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
where to ski in winter
bin packing problem best fit and metaheuristics. genetic algorithm, bonus particle swarm optimization. comparing both algorithms
cool Fortran implementation of linked lists for traversing through nodes and finding the hamiltonian path (dynamically)
Hugo documentation theme as simple as plain book
Clean PyTorch implementations of imitation and reward learning algorithms
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
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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
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
Bayesian Modeling and Probabilistic Programming in Python
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
modeling system dynamics incl. actuators and continuous / discrete controller designs in MATLAB Simulink integrated computer vision using segmentation
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
GitHub config files
personal webpage for a researcher
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
Python sample codes for robotics algorithms
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