Search Results for "transfer function model"
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Showing 10 open source projects for "transfer function model"
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Project: Olympus
An Arduino-based Altitude and IMU Payload for Model Rocketry
Project: Olympus is an engineering project that utilizes an Arduino Nano microcontroller to create an electronic payload that records altitude, g-forces experienced by the rocket, as well as roll rate. Included with the code is a 132 page Project Manual that takes you through the design and construction of the electronic payload. It also includes sections on the construction of the Estes Olympus rocket. A detailed code review of each section of code is included. We take a detailed look... -
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Flight Logs
Maintain logs of model rocket flights and your rocket fleet inventory
Update This project has been discontinued due to Microsoft deprecating VBA and VBScript in upcoming Windows updates. Both of these services are needed for Flight Logs to function. Original Description Flight Logs is more than just a database to log your rocket flights. Flight Logs is an in-depth record of your rocket activities. It records your flights plus collects data on events surrounding your flights, and allows you to track how well the rocket performed. The rocket's very... -
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Reinforcement Learning Methods
Simple Reinforcement learning tutorials
Reinforcement-Learning-with-TensorFlow is an educational repository that walks through key reinforcement learning algorithms implemented in TensorFlow. It provides clear code examples for foundational techniques like Q-learning, policy gradients, deep Q-networks, actor-critic methods, and value function approximation within familiar simulation environments. Each algorithm is structured with readable code, explanatory comments, and corresponding environment interaction loops so learners can easily trace how actions, rewards, and model updates connect. The project also includes demo scripts that visualize learning curves and allow students to observe policy improvement over training iterations. ... -
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2D Heat Transfer in .C
2D Heat Numerical Heat Transfer Solver
PLEASE NOTE: There is a complete installer available if you do not have CVI installed. If you do have it, you can simply download the source files and run them. The following program was built as a final evaluation project for Programming for Mechatronics Course for my BSc. in Mechanical Engineering. This solver is based around the Gauss-Seidel algorithm for 2D heat transfer for pre-determined boundary conditions (i.e. user defined temperatures). I hope this project will be useful for... -
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Deep Learning 500 Questions
500 Questions on Deep Learning using a question-and-answer format
...Later chapters explore classic neural network structures such as CNNs, RNNs, and GANs, as well as key applications in computer vision like object detection and image segmentation. The resource also delves into optimization methods, including transfer learning, network architecture design, hyperparameter tuning, model compression, and acceleration techniques. -
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ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design
The ml-design-patterns repository contains the source code and examples that accompany the book “Machine Learning Design Patterns,” providing practical implementations of reusable solutions for common challenges in machine learning systems. It organizes patterns into categories such as data representation, problem framing, and model training, helping practitioners understand how to structure ML pipelines effectively. The repository includes implementations of techniques like feature hashing, embeddings, feature crosses, and multimodal inputs, which are essential for handling diverse data types. It also covers strategies for improving model performance and robustness, including transfer learning, checkpointing, ensemble methods, and rebalancing techniques for imbalanced datasets. ... -
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3 Rs of Software Architecture
A guide on how to write readable, reusable, and refactorable software
This guide aims to help software developers think more clearly about how to build systems that are not only functional today but maintainable into the future. It focuses on three architectural “ilities”: readability, reusability, and refactorability, presenting them in a hierarchical framework so developers can evaluate and improve their code and system design. The project uses a simple shopping-cart application written in JavaScript and React/Redux to illustrate how code evolves from “bad”... -
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Tensorflow 2017 Tutorials
Tensorflow tutorial from basic to hard
Tensorflow 2017 Tutorials is a structured set of tutorials that introduce developers to TensorFlow, starting with basic neural network constructs and progressing to sophisticated model architectures and training techniques. This repository covers essential building blocks like sessions (for older TF versions), placeholders, variables, activation functions, and optimizers, before guiding learners through building end-to-end models for regression, classification, and data pipelines. Beyond the basics, the project includes examples of convolutional neural networks, recurrent networks, autoencoders, reinforcement learning, generative adversarial networks, and transfer learning workflows. ... -
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...With JMCAD, users can quickly develop software or "virtual" prototypes of systems or processes to demonstrate their behavior prior to building physical prototypes. The user builds his system model by selecting predefined blocks from a block library and simply wiring the blocks together. Each block of the diagram performs a function. Users can also create custom blocks in Java and add them to the JMCAD block library. JMCAD is a block diagram language for creating complex nonlinear dynamic systems.
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Firefly UML
A free, easy-to-use and user-friendly Java-based UML editor.
...For example, you can import your existing Java project into Firefly and generate nice-looking class diagrams within a matter of minutes. You can also go the other way around and export your model as skeleton Java code.
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