Search Results for "machine designing"

auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. auto-sklearn frees a machine learning user from algorithm selection and hyperparameter tuning. It leverages recent advantages in Bayesian optimization, meta-learning and ensemble construction. Auto-sklearn 2.0 includes latest research on automatically configuring the AutoML system itself and contains a multitude of improvements which speed up the fitting the AutoML system. auto-sklearn...

Project to use a Nano Arduino to control a self powered elliptical machine through a USB interface. The output of the three phase elliptical generator is rectified and regulated and then controlled by PWM and a PID loop to source a constant current to the elliptical brake. Generator pulses are counted to determine speed and distance. Brake current can be set through a GUI which also displays exercise time, average speed and distance. Tkinter is used both as a GUI and thread manager...

mlcourse.ai is an open Machine Learning course by OpenDataScience (ods.ai), led by Yury Kashnitsky (yorko). Having both a Ph.D. degree in applied math and a Kaggle Competitions Master tier, Yury aimed at designing an ML course with a perfect balance between theory and practice. Thus, the course meets you with math formulae in lectures, and a lot of practice in a form of assignments and Kaggle Inclass competitions. Currently, the course is in a self-paced mode. Here we guide you through the self...

The torchgan package consists of various generative adversarial networks and utilities that have been found useful in training them. This package provides an easy-to-use API which can be used to train popular GANs as well as develop newer variants. The core idea behind this project is to facilitate easy and rapid generative adversarial model research. TorchGAN is a Pytorch-based framework for designing and developing Generative Adversarial Networks. This framework has been designed to provide...

... the operation system API. It serves as framework for the development of - Dynamic and stable software - Modular software by the use of software components - Distributed applications - Highly complex machine controls with distributed logic It supports you in - Designing pervasive behavior in your applications - Language and platform independent interface definition using xIDL - Serializing objects - Distributing objects (remote method invocation) - Creating and using classes

The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting...

... will make you very own dataset. Then you will go through a couple conventional machine learning algorithms, before finally getting to deep learning! In the fall of 2016, I was a Teaching Fellow (Harvard's version of TA) for the graduate class on "Advanced Topics in Data Science (CS209/109)" at Harvard University. I was in charge of designing the class project given to the students, and this tutorial has been built on top of the project I designed for the class.

PSGMiner a novel software which has been developed to carry out feature extraction in order that robust analysis and classification of various sleep diseases can be performed using polysomnographic data.The software is composed of different modules: The database, feature extraction, annotation,artifact and machine learning modules. for cite İlhan Umut, PSGMiner: A modular software for polysomnographic analysis, Computers in Biology and Medicine, Volume 73, 1 June 2016, Pages 1-9, ISSN...

A graphical tool for designing finite state machines and exporting them to Hardware Description Languages, such as VHDL, AHDL, Verilog, or Ragel/SMC files for C, C++, Objective-C, Java, Python, PHP, Perl, Lua code generation.

PT Easywork Indonesia is a company engaged in development of systems that include instrumentation and software, as well as product development. The instrument we have developed is microprocessor or microcontroller-based electronic instruments for various purpose, such as: Automation. Designing control systems for automation in industry and smart building, such as temperature and humidity control systems, security systems, control systems for elevator, escalator, lighting, and so forth...

The Little Man Computer (LMC) is an instructional model of a computer, created by Dr. Stuart Madnick in 1965. The LMC is generally used to teach students, because it models a simple von Neumann architecture computer, which has all of the basic features of a modern computer. It can be programmed in machine (albeit usually in decimal) or assembly code. This software is a complete IDE and Emulator for implementing and designing applications that is capable for using Little Man Computer

A Java Swing based application for designing DBMM wargaming armies, initially uisng an XML file-based persistence layer for maximum end user machine compatibility and ease of installation.

Tuatara Turing Machine Simulator is a graphical tool for designing and executing Turing Machines. Designed primarily for teaching purposes, it features a simple point-and-click interface.

Visual Turing Machine is a tool for visually designing Turing machines. This means no coding in abstract scripting languages, but simple point&click design. It uses the a..z symbol set, plus the "empty" # symbol, and also simulates an infinite tape.

APhPLIX Development Studio, is an open source Rapid Application Development environment for designing, developing and deploying WebBrowser-based applications that look, feel and act like regular window-based applications.

ISP Controller is a project aimed at designing a complete sollution for a ISP-wide management system. Basically, we want the use to be able to configure any daemon, on any machine, using a central PHP/Apache backend.