Search Results for "python-4suite-xml" - Page 92
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14153 projects for "python-4suite-xml" with 1 filter applied:
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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epidaurus
tumor epigenetic database
Epidaurus is a collection of epigenetic datasets including transcription factor ChIP-seq, histone ChIP-seq, DNase-seq, FAIRE-seq, DNA methylation, etc. It also includes commonly used genome features (GC content, conservation) and RNA-seq. A user friendly interface has been developed to interrogate and visuzlize these datasets. -
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TornadoFX
Lightweight JavaFX Framework for Kotlin
Oracle is intending to decouple JavaFX from the JDK. We will wait until the decoupled JavaFX is available and stable before upgrading TornadoFX to support it. As of now there is little value and significant effort involved in updating to JDK 9/10, while there will be an enormous value in updating to the decoupled version. -
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OpenTvArchitecture
open source platform to manage a TV-like multy channel broadcasting
Do you manage a single channel tv or web-tv and want to step-up to a multi-channel broadcasting television? Do you have too few co-workers and really low money? Then this project could be your solution. Web based management (in the future). IP centric. Tag based media retrival. Multy playout "consumers" Long term content scheduling. Free and Open Source. ...... -
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layman is the Gentoo overlay manager and allows to integrate experimental software packages into the main distribution. It can also be used as a manager for version control repositories.
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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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SFM2Web reads text and database files encoded with SFMs (Standard Format Markers) and then generates a web site according to flags specified in control files. This is useful for web publication of MDF lexicons, USFM Bible books, texts, phrasebooks, etc.
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Remake of the original game "archimedean dynasty" (aka Schleichfahrt). Currently the original game is needed but later new game content can be added and could substitute the old ones (already impl). State: story-mode finished, fight under dev
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Top deep learning Github repositories
Top 200 deep learning Github repositories sorted by stars
Top-Deep-Learning is a curated repository that aggregates some of the most influential and widely used deep learning projects available on GitHub. Instead of providing its own machine learning models or frameworks, the project functions as an organized index that helps users discover high-quality deep learning repositories across different application domains. The repository categorizes projects related to neural networks, computer vision, natural language processing, reinforcement learning,... -
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This system is designed to synchronize objects over network using a 1 server : n clients topology. In contrast to Object Replication system used in Zoidcom or RakNet this solution is developed to be very scalable using multiple threads/cpus=> MMO ready.
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EverydayWechat
Python tool that automates WeChat messages, replies, & group utilities
EverydayWechat is a Python-based automation tool designed to enhance and automate interactions on the WeChat messaging platform. Built using Python 3 and the Itchat library, it connects to the web version of WeChat to perform various automated messaging tasks. It allows users to send scheduled messages to friends or group chats, including daily weather updates, reminders, inspirational quotes, and other personalized content. -
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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mazeman
A scriptable 2d randomizable maze game
Mazeman is an original puzzle game, somewhat like "chip's challenge" except it can generate new randomized puzzles from a carefully balanced array of elements. The objective is to find the gems amongst the other dynamic maze elements. A very terse and powerful scripting language and an integrated script debugger enable users to generate their own maze designs. Maze is a mesmerizing addictive and fascinating puzzle with a deceptively simple premise. Scripts allow new players to acquire... -
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cocoNLP
A Chinese information extraction tool
cocoNLP is a lightweight natural-language processing toolkit geared toward practical information extraction from raw text, especially for Chinese and mixed Chinese–English content. Instead of requiring a heavy pipeline, it focuses on quick wins such as extracting names, places, organizations, emails, phone numbers, and dates directly from unstructured sentences. The project blends pattern-based methods with NLP heuristics, giving developers dependable results for real-world texts like chats,... -
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The TRANSIMS Studio application is an integrated development environment for the TRansportation ANalysis and SIMulation System (TRANSIMS). Components include a run time environment to execute TRANSIMS in parallel, as well as a full featured GUI.
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StickySwitch
Beautiful switch widget with sticky animation
StickySwitch library for Android. This library is a beautiful switch widget with sticky animation. -
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Whitebeam Web Application Server
JavaScript/XML engine for Apache
Whitebeam is a complete rapid development Web application server integrating Apache, Posgresql, Mozilla's SpiderMonkey JavaScript engine with it's own powerful XML/XPath based secure application framework. -
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TensorFlow Machine Learning Cookbook
Code for Tensorflow Machine Learning Cookbook
TensorFlow Machine Learning Cookbook repository provides practical code examples and educational materials that accompany the book TensorFlow Machine Learning Cookbook. The repository contains numerous Python scripts and Jupyter notebooks that demonstrate how to implement machine learning algorithms and neural networks using the TensorFlow framework. Each section focuses on a different aspect of machine learning development, including tensor manipulation, model training, optimization strategies, and data processing techniques. The examples illustrate how TensorFlow operations and tensors can be used to build machine learning pipelines and perform tasks such as regression, classification, and clustering. ... -
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labman2
A web database for experimental results of research
A database with a web interface for storing the experimental results of research, aimed at ease of adding new types of data. Goal is to make adding as simple as one day for an unexperienced in programming scientist to add a new type of data similar to an existing type, by preparing two - three files analogues to the existing ones. An experienced programmer should need only one day to one week for adding a totally new kind of data like arrays with more dimensions that was available before. -
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MaterialDrawerKt
A Kotlin DSL wrapper around the mikepenz/MaterialDrawer library
Create navigation drawers in your Activities and Fragments without having to write any XML, in pure Kotlin code, with access to all the features of the original library: all sorts of menu items, badges, account headers, and more. -
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PixieDust
Python Helper library for Jupyter Notebooks
PixieDust is an open source Python helper library that works as an add-on to Jupyter notebooks to improve the user experience of working with data. It also fills a gap for users who have no access to configuration files when a notebook is hosted on the cloud. -
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jGnash
jGnash Personal Finance
jGnash is a cross platform personal finance application written in Java. jGnash is a double entry system with support for multiple currencies. jGnash can import OFX and QIF files. -
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Machine Learning with TensorFlow
Accompanying source code for Machine Learning with TensorFlow
Machine Learning with TensorFlow is an open repository containing the source code and practical examples that accompany the book Machine Learning with TensorFlow. The project provides numerous code samples demonstrating how to build machine learning models using the TensorFlow framework. These examples illustrate core machine learning concepts such as regression, classification, clustering, and neural networks through practical implementations. The repository includes implementations of... -
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xmlfy
Convert to XML on the fly
xmlfy converts text/UTF based output into XML formatted output using schema files and/or options to control its behaviour. By Arthur Gouros. -
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The GUIDOLib provides a powerful engine for the graphic rendering of music scores, based on the Guido Music Notation format. It supports Linux, Mac OS X, Windows, Android and iOS operating systems. A Java JNI interface is available as well as a Javascript version of the library. A Web API has also been designed, allowing to deploy the engine as a Web service.
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iWatch is a realtime filesystem monitoring program. It is a tool for detecting changes in filesystem and reporting it immediately.It uses a simple config file in XML format and is based on inotify, a file change notification system in the Linux kernel.
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TensorFlow Course
Simple and ready-to-use tutorials for TensorFlow
This repository houses a highly popular (~16k stars) set of TensorFlow tutorials and example code aimed at beginners and intermediate users. It includes Jupyter notebooks and scripts that cover neural network fundamentals, model training, deployment, and more, with support for Google Colab. -
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SMAC
SMAC: The StarCraft Multi-Agent Challenge
SMAC (StarCraft II Multi-Agent Challenge) is a benchmark environment for cooperative multi-agent reinforcement learning (MARL), based on real-time strategy (RTS) game scenarios in StarCraft II. It allows researchers to test algorithms where multiple units (agents) must collaborate to win battles against built-in game AI opponents. SMAC provides a controlled testbed for studying decentralized execution and centralized training paradigms in MARL.
