Search Results for "training" - Page 35
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Showing 891 open source projects for "training"
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Retrieval-Based Conversational Model
Dual LSTM Encoder for Dialog Response Generation
...The core idea is to embed both the conversation context and potential replies into vector representations, then score how well each candidate fits the current dialogue, choosing the best match accordingly. Designed to work with datasets like the Ubuntu Dialogue Corpus, this codebase includes data preparation, model training, and evaluation components for building and assessing dialog models that can handle multi-turn conversations. -
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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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GNU Solfege is *free* ear training software written in Python 3.4 using the Gtk+ 3 toolkit. The program is designed to be easily extended with lesson files (data files), so the user can create new exercises.
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Question Answering Corpus
Question answering dataset in "Teaching Machines to Read & Comprehend"
RC-Data is a dataset generation framework created by Google DeepMind to produce large-scale reading comprehension question-answer pairs from CNN and Daily Mail news articles. The dataset, introduced in the 2015 paper “Teaching Machines to Read and Comprehend” (Hermann et al., NIPS 2015), was among the first large corpora designed to train and evaluate machine reading and comprehension models. The repository provides scripts for downloading archived CNN and Daily Mail articles from the... -
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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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ffnet is a fast and easy-to-use feed-forward neural network training solution for python. Many nice features are implemented: arbitrary network connectivity, automatic data normalization, very efficient training tools, network export to fortran code. Now ffnet has also a GUI called ffnetui.
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Awesome AWS
A curated list of awesome Amazon Web Services libraries
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome. Each repo listed meets at least one of the following requirements, community-authored repo with 100+ stars, community-vouched repo with < 100 stars, official repo from aws or awslabs. 100+ stars for community repos is not a strict requirement, it only serves as a guideline for the initial compilation. If you can vouch for the awesomeness... -
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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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Neural Libs
Neural network library for developers
...The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network. -
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Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read introduction article and a reference manual accompanies the library with examples and recommendations on how to use the library. Several graphical user interfaces are also available for the library.
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TroopMaster Automated Reports
TMAR is a scripted solution to create TroopMaster reports
Based on python and an older pywinauto library, this library of scripts makes it possible to automate TroopMaster reports that you would like to run frequently. When tied together with solutions like Dropbox and linked to your website it is possible to quickly provide updated reports for your Troop's leaders, boys, and parents. The library will briefly take control of your computer to start TroopMaster DotNet, create a predefined set of PDF reports (common reports that our large Troop... -
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MSTParser
MSTParser is a non-projective dependency parser that searches for maxi
MSTParser is a non-projective dependency parser that searches for maximum spanning trees over directed graphs. Models of dependency structure are based on large-margin discriminative training methods. Projective parsing is also supported. mstparser 0.5.1 is now available via Maven Central. If you use Maven as your build tool, then you can add it as a dependency in your pom.xml file: <dependency> <groupId>net.sourceforge.mstparser</groupId> <artifactId>mstparser</artifactId> <version>0.5.1</version> </dependency> -
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dutrain
User training module, with definable questions and answers
dutrain is a simple Python based interface for defining sets of questions and answers (questionnaires, quizes) that the user tries to answer in sequence. It is designed to be easy to use and quick and it can be used for training or testing. It currently uses Django. -
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...The API's are designed for executing and instrumenting simple (single process) tasks, featuring policy-based behavioral auditing, resource quota, and statistics collecting. The sandbox libraries were originally designed and utilized as the core security module of a full-fledged online judge system for ACM/ICPC training. They have since then evolved into a general-purpose tool for binary program testing, profiling, and security restriction. The sandbox libraries are currently maintained by the OpenJudge Alliance (http://openjudge.net/) as a standalone, open-source project to facilitate various assignment grading solutions for IT/CS education. ...
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Novus
Entrepreneurship Training Program
The Novus Entrepreneurship Training Program contains 36 business and IT training videos, covering basic finance, accounting, marketing, economics, business strategy, Word, Excel, and PowerPoint. Users will have an opportunity to apply the lessons in the Novus Business Simulator. Over six rounds, the user or teams will have to make decisions on capital purchases, financing, production, financing, and human resources for a microbrewery. -
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Accumulation
self-create content and self-training
...But don't worry and I will continue to improve all of this. This system consist mainly two part sharing a common series data files. One is used to add question into database and the other is used to training back your questions. Hope this would be helpful someway to you. -
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PyVocabularyTree
A vocabulary tree for image classification using OpenCV
A vocabulary tree for image classification have been designed to be integrated in mobile robotic applications. It is a learning schema based on decission trees, bags of features and inverted files. The design provides training and optimization parameters that have been characterized using several detectors and descriptors for several input datasets. Evaluation tests performed on public image databases allow to compare obtained results with previously published literature. All the tools and resources used in this project are Open Source licensed. -
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VEDICS (Voice Enabled Desktop Interaction and Control System) is an assistive software which lets the user to interact with the OS using voice commands. Using this software the user can access any element found on the user's screen.
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Stanford Machine Learning Course
machine learning course programming exercise
The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems. Each folder corresponds to a specific algorithm or concept, making it easy... -
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skillsomat
Serious game to train periodic rhythmic motions.
Skills-O-Mat is a simple reuseable serious game to train periodic rhythmic motions. Although Skills-O-Mat was developed for a special training of alginate mixing, it is also capable of training similar motions like cardiac massage. Players use the prepared input devices (spoon and bowl in case of alginate mixing) to start immediate training. No further preparation of the player is required. The game collects motion data in real-time and evaluates the differences between the player and the virtual teacher. -
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...It’s version is experimental, but demonstrates a number of interesting features, that can be readily exploited to detect and act against web attacks. SuStorID can be coupled with modsecurity, the well known web application firewall, to gather training data and provide for real-time counteractions. So, SuStorID is a host-based Intrusion Detection System, and by means of modsecurity can access internal web server’s data (i.e. http request/response fields) exactly as Apache does.
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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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DWIP is short for Disk Wiping and Imaging Tool. This tool is being built for Mississippi State Universities National Forensics Training Center for use on a live cd to give out to it's students.
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An interactive vocabulary training tool that presents words in context by finding them in a document and highlighting all the instances. Also compiles easily browse-able snippets.
