Search Results for "train ticketing system"
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Showing 32 open source projects for "train ticketing system"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Gorse Recommender System Engine
An open source recommender system service written in Go
...Expose RESTful APIs for data CRUD and recommendation requests. Analyze online recommendation performance from recently inserted feedback. Provide GUI for data management, system monitoring, and cluster status checking. Gorse is an open-source recommendation system written in Go. Gorse aims to be a universal open-source recommender system that can be easily introduced into a wide variety of online services. By importing items, users and interaction data into Gorse, the system will automatically train models to generate recommendations for each user. -
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Porcupine
On-device wake word detection powered by deep learning
Build always-listening yet private voice applications. Porcupine is a highly-accurate and lightweight wake word engine. It enables building always-listening voice-enabled applications. It is using deep neural networks trained in real-world environments. Compact and computationally-efficient. It is perfect for IoT. Cross-platform. Arm Cortex-M, STM32, PSoC, Arduino, and i.MX RT. Raspberry Pi, NVIDIA Jetson Nano, and BeagleBone. Android and iOS. Chrome, Safari, Firefox, and Edge. Linux... -
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Harvy Open Trouble Ticketing System
Harvy is an enterprise-class, telco friendly trouble ticketing system
Harvy is the younger brother of Kuwaiba Open Network Inventory. It aims to be an enterprise-class trouble ticketing system, focused on providing support for complex work flows and integration with other OSS (Operations Support Systems) and BSS (Business Support System) in the context of eTOM and Frameworx/NGOSS directives. Although it was born as a solution for small and mid-sized telecommunications operators, it can also be used in environments with standard networking infrastructure, such as universities, privately held companies or non-profit organizations. ... -
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PyG
Graph Neural Network Library for PyTorch
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support,... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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AWS IoT FleetWise Edge
AWS IoT FleetWise Edge Agent
Easily collect, transform, and transfer vehicle data to the cloud in near-real-time. AWS IoT FleetWise makes it easy and cost-effective for automakers to collect, transform, and transfer vehicle data to the cloud in near-real-time and use it to build applications with analytics and machine learning that improve vehicle quality, safety, and autonomy. Train autonomous vehicles (AVs) and advanced driver assistance systems (ADAS) with camera data collected from a fleet of production vehicles.... -
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Imagen - Pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network
Implementation of Imagen, Google's Text-to-Image Neural Network that beats DALL-E2, in Pytorch. It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior... -
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OpenBot
OpenBot leverages smartphones as brains for low-cost robots
OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation. Current robots are either expensive or make significant compromises on sensory richness, computational power, and communication capabilities. We propose to leverage smartphones to equip robots with... -
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PyBoy
Game Boy emulator written in Python
It is highly recommended to read the report to get a light introduction to Game Boy emulation. But do be aware, that the Python implementation has changed a lot. The report is relevant, even though you want to contribute to another emulator or create your own. If you are looking to make a bot or AI, you can find all the external components in the PyBoy Documentation. There is also a short example on our Wiki page Scripts, AI and Bots as well as in the examples directory. If more features are... -
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TCNOpen
Components for IEC61375 standardised communication
TCNOpen is an open source initiative which the partner railway industries created with the aim to build in collaboration some key parts of new or upcoming railway standards, commonly known under the name TCN. TCN (Train Communication Network) is a series of international standards (IEC61375) developed by Working Group 43 of the IEC (International Electrotechnical Commission), specifying a communication system for the data communication within and between vehicles of a train. It is currently in use on many thousands of trains in the world in order to allow electronic devices to exchange information while operating aboard the same train. ... -
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Interleave is a business process management application. It enables you to model your business process and make it available online. It's meant to replace processes which currently rely on paper or spreadsheets and it has a good workflow engine.
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TeemIp - IPAM and DDI solution
IP Address Management - CMDB - Ticketing - DNS and Zone Management
TeemIp is a free, open source, WEB based, IP Address Management (IPAM) tool that provides comprehensive IP Management capabilities. It allows you to manage your IPv4, IPv6 and DNS spaces: track user requests, discover and allocate IPs, manage your IP plan, your subnet space, your zones and DNS records in accordance with best in class DDI practices. At the same time, TeemIp's CMDB allows you to manage your IT inventory and links your CIs to the IPs they use. Project source code is... -
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TensorFlow Documentation
TensorFlow documentation
An end-to-end platform for machine learning. TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples. -
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London Bus Train Weather
London Bus Train Weather on a Raspberry Pi using various free APIs
This small project sits in my kitchen and provides simple access to the times of all local public transport services that you can use. One button cycles: a clock, bus arrival times at the local stop to a preset destination, trains to a specific destination and finally a summary weather forecast (if you need an umbrella!) It does not cover the Underground as these services are so frequent to not require a timetable. It runs adequately on an old Pi Zero W. All the APIs are free, but the... -
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Form OCR Testing Tool
A set of tools to use in Microsoft Azure Form Recognizer
An open source labeling tool for Form Recognizer, part of the Form OCR Test Toolset (FOTT). This is a MAIN branch of the Tool. It contains all the newest features available. This is NOT the most stable version since this is a preview. The purpose of this repo is to allow customers to test the tools available when working with Microsoft Forms and OCR services. Currently, Labeling tool is the first tool we present here. Users could provide feedback, and make customer-specific changes to meet... -
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DeepCluster
Deep Clustering for Unsupervised Learning of Visual Features
DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. This alternating “cluster & train” scheme helps the model... -
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Age and Gender Estimation
Keras implementation of a CNN network for age and gender estimation
Keras implementation of a CNN network for age and gender estimation. This is a Keras implementation of a CNN for estimating age and gender from a face image [1, 2]. In training, the IMDB-WIKI dataset is used. Because the face images in the UTKFace dataset is tightly cropped (there is no margin around the face region), faces should also be cropped in demo.py if weights trained by the UTKFace dataset is used. Please set the margin argument to 0 for tight cropping. You can evaluate a trained... -
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VBS for Research on the Internet
Welcome to the Volunteer-Based System for Research on the Internet!
Welcome to the Volunteer-Based System for Research on the Internet! This system is designed to provide detail data about applications used in the Internet. This information can be used for: - obtaining the knowledge which applications are most frequently used in the network - providing the users some basic statistics about their Internet connection usage (for example for which kinds of applications their connection is used the most) - creating scientific profiles of traffic generated by different applications or different groups of applications - creating a traffic generator, to imitate traffic generated by particular applications, or to imitate the real traffic in the network - implementing smart assessment of QoS in the network at the users' level and in the core of the network - obtaining precise data needed to train Machine Learning Algorithms - many more cases :-) -
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GloVe
GloVe model for distributed word representation
GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space. The links provided contain word vectors obtained from the respective corpora. If you want word vectors trained on massive web datasets, you need only download one of these text files! Pre-trained word vectors... -
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top eleven bot
a auto clicker bot that clicks stuff
Top Eleven Bot Copyright (C) 2014 hotted1135 This program comes with ABSOLUTELY NO WARRANTY This is free software, and you are welcome to redistribute it https://sourceforge.net/projects/topelevenbot/ requires https://sourceforge.net/projects/pywin32/files/ top eleven bot v1.9.1 resolution 1366*768 --good for laptops how to use: press 1 for train bot press 2 for token bot what it does: train bot press the arrow key 4 times in your browser so your lined up with the... -
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AHANNS
AHANNS - Amateur Homemade Artificial Neural Network Simulator
AHANNS enables the user to create and train artificial neural networks. Training is carried out by an implementation of back propagation learning algorithm. See the documentation for details. This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be... -
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jkaptive
A simple captive portal
...The reason behind this is because a lot of site administrators don't need tight security - their site is just a café which offers free internet access on an unsecured WLAN access point connected to the internet and they need a ticketing system to make it cumbersome for average people to use this offering without actually buying a single coffee. Jkaptive itself just presents the login page,checks the token and places netfilter rules. Telling apart ticketed from unticketed traffic is done through Linux' netfilter. As no proxy server is involved, jkaptive has no performance penalty, nor does it create problems with non-http traffic. ... -
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Domotic Speech-recognition interface
Speech-recognition interface for a domotic system.
This product recognizes oral commands and translates them to domotic orders for a domotic system. This product does not implement a domotic system. This product is an interface to be plugged to a domotic system. The speech recognition is done by an arduino UNO board and an EasyVR shield. Available oral commands are generated from a house description file in XML format. The oral commands have to be trained for a specific users. -
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Smarterpanel is a web server administration panel designed to fill the gap for nginX users. Built for CentOS servers.
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A packet dissector driven by machine learning algorithms. You train it to recognize specific types of packets by showing it examples and counterexamples of some packet type, and it will figure out which bits in the packet define it as the type you seek.
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IRM is a Web-based asset tracking and trouble ticketing system built for IT departments and helpdesks. It keeps detailed information on both hardware and software, including each computer and network device in your organization.
