Search Results for "training"
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Showing 29 open source projects for "training"
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CARLA Simulator
Open-source simulator for autonomous driving research.
CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites, environmental conditions, full control of all static and dynamic actors, maps generation and much more. -
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WiFi Duck
Wireless keystroke injection attack platform
...Unlike with other BadUSBs, you don’t need to install an app, log in, compile, or copy scripts onto an SD card. You simply connect via WiFi to manage all your scripts from within the web interface. This tool is intended to be used for testing, training, and educational purposes only. Never use it to do harm or create damage! A BadUSB pretends to be a keyboard to the computer to send keystrokes. But unlike a human, it can type hundreds of characters per second. By using a simple scripting language, it's easy to make BadUSBs type whatever you want. With the WiFi Duck, you can simply connect via WiFi to manage all scripts from within a web interface. ... -
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RoboSchool
Open source software for robot simulation, integrated with OpenAI Gym
...It integrates with OpenAI Gym and provides a variety of continuous control tasks, including humanoid locomotion, quadrupeds, and robotic arms. The library is built on the Bullet Physics engine, making it accessible without the licensing requirements of Mujoco. Roboschool includes training scripts and examples for applying reinforcement learning algorithms to its environments. While the project has since been deprecated in favor of more modern frameworks, it remains historically significant as a bridge between early reinforcement learning research and scalable, open-access environments. Its goal was to make reproducible robot learning experiments available to a wider audience without restrictive dependencies . -
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JESUBOTs - FRC Team #5809
Rockhurst High School Robotics Team
This project is the central engineering hub for the JESUBOTs FRC Robotics Team #5809. We intend to use Sourceforge to share all of our present and future robot hardware designs and software with anyone that is interested. The team transitioned to SolidWorks in the 2018 season since our local universities all teach using SolidWorks. Our rookie year was 2016 when we were honored to win the Rookie All-Star Award and had the pleasure of attending the FRC World's Competition in St.... -
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Distant Speech Recognition
Beamforming and Speech Recognition Toolkit
...The Millennium ASR provides C++ and python libraries for automatic speech recognition. The Millennium ASR implements a weighted finite state transducer (WFST) decoder, training and adaptation methods. These toolkits are meant for facilitating research and development of automatic distant speech recognition. -
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DLCSim
Controller-Pilot Data Link Simulator for procedural and radar training
DLCSim is now capable of procedural and radar control, with option of connecting to FSX or Prepar3D flight simulator for real time aircraft tracking. -
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Gamera is a framework for the creation of structured document analysis applications by domain experts. It combines a programming library with GUI tools for the training and interactive development of recognition systems.
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simECG is an ECG signal simulator aimed for basic training and experimenting. As a full software ECG signal generator, it's ideal for training and demonstration purposes. You can create customizable signals usually present in many pathologies.
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The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.
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Adaptive Gaussian Filtering
Machine learning with Gaussian kernels.
Libagf is a machine learning library that includes adaptive kernel density estimators using Gaussian kernels and k-nearest neighbours. Operations include statistical classification, interpolation/non-linear regression and pdf estimation. For statistical classification there is a borders training feature for creating fast and general pre-trained models that nonetheless return the conditional probabilities. Libagf also includes clustering algorithms as well as comparison and validation routines. It is written in C++. -
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The Thot toolkit repository has moved to http://daormar.github.io/thot/ Thot is a toolkit for statistical machine translation. The new Thot toolkit includes fully automatic and interactive machine translation, incremental training of statistical models, parallel estimation, ...
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The MaxParser is written in c++ and can parse with first, second, third and fourth order projective Graph-based Dependency parsing algorithm. The project is the new version of the project "Max-MSTParser". If you want to use this software for research, please reference this web address in your papers
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RadioAnatomy
New dimensions in interactive training of radiological anatomy
Relying on existing image collections such as the Visible Human (VHP), this project would provide an interactive teaching tool professionals and students that need training in interpretation of radiology anatomy from tomographic imaging techniques. -
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TMVA Toolkit for Multi Variate Analysis
A ROOT-integrated toolkit for multivariate analysis
TMVA is a ROOT-integrated toolkit for multivariate classification and regression analysis. TMVA performs the training, testing and performance evaluation of a large variety of multivariate methods. Since 2013, TMVA has been fully integrated with ROOT and is distributed as part of it. The new homepage of TMVA is https://root.cern -
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cCNN
A fast implementation of LeCun's convolutional neural network
Code of this library is partialy based on myCNN MATLAB class written by Nikolay Chemurin. -
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CvHMM
Discrete Hidden Markov Models based on OpenCV
This project (CvHMM) is an implementation of discrete Hidden Markov Models (HMM) based on OpenCV. It is simple to understand and simple to use. The Zip file contains one header for the implementation and one main.cpp file for a demonstration of how it works. Hope it becomes useful for your projects. -
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This is a MATLAB implementation of inverse compositional Active Appearance Models (AAMs), as described in the "Active Appearance Models Revisited" paper by Iain Matthews and Simon Baker.
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GRANULE is a flashcards program based on Leitner cardfile methodology for learning new words. It features long-term memory training capabilities with scheduling, integrated pictures, sound, and full-screen mode.
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Modbus RTU and TCP/IP slave simulator. For Testing, Training or Learning these protocols - includes an AllenBradley DF1 master and a slave mode.
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Foad is an open source software which receive an EKG Signal from scanner, WFDB database or heart sensors. Finding patient disease started by taking Fourier transform (FFT) from input signal and extract a single cycle. Based on some heuristic algorithm the most important feature like P , Q , R , S , T captured and feed to trained neural network. and so the final decision made by CNN library. As mentioned before this software also capable do some image processing on scanned paper to lower...
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CRF decoder is the simplified version of CRF++, only for decoding the sequential data. It removes the training component and its correspondent codes from CRF++, which makes CRF decoder more reabable and understandable for freshman.
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PyCV is a Python package of modules useful for computer vision tasks. Its current focus is on boosting techniques, Haar-like features, and face detection. PyCV provides the world's fastest method for training a face detector, in a few hours.
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BCAR is a library for the associative classification, which denotes "Boosting Class Association Rules". BCAR provides a general tool for classification tasks with various types of input data.
