Search Results for "google-visualization-python" - Page 80
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7969 projects for "google-visualization-python" with 1 filter applied:
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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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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Firestore for Google Apps Scripts
A Google Apps Script library for accessing Google Cloud Firestore
This library allows a user (or service account) to authenticate with Firestore and edit their Firestore database within a Google Apps Script. The easiest way to use this library is to create a Google Service Account for your application and give it read/write access to your datastore. Giving a service account access to your datastore is like giving access to a user's account, but this account is strictly used by your script, not by a person. -
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FABRevealMenu
A general purpose Android UI library to show a user show menu
A simple general-purpose UI library to create a custom user-defied menu in a modern way with your favorite Floating action button. It incorporates a lollipop circular reveal view with cool animations somewhat inspired by Google Material Design guidelines. -
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The Whole Platform is a technology for engineering the production of software. We provide an Eclipse based Language Workbench for developing, manipulating and transforming languages using a model driven approach.
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SQLFlow
SQL compiler bridging databases and machine learning workflows
...It integrates with multiple database engines such as MySQL, Hive, and MaxCompute, while also supporting machine learning frameworks like TensorFlow and XGBoost. By embedding machine learning operations into SQL, it removes the need for users to switch between programming languages such as Python or R, simplifying the overall workflow. SQLFlow also supports model training, prediction, and explanation tasks, allowing data practitioners to work entirely within a familiar query interface. -
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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XMLTV (http://xmltv.org/) is for grabbing TV listings primarily from websites. It has a grabber for Danish Television that grabs from http://tv.tv2.dk, but here we maintain serveral others. You can find documentation on http://niels.dybdahl.dk/xmltvdk
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TimothyDocs
Timothy is a cloud base storage system designed to document your work
Timothy is a cloud based documentation system. Timothy will document any endeavor because it will store not only the documents created during the project but also store information about those files. Like most storge schemes timothy creates a hierarchy of categories through which one may browse. Timothy displays information about the document or category as well as its name. This use of meta data explains the structure and content of the project to the user as he browses. Users... -
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PulledPork
Pulled Pork for Snort and Suricata rule management (from Google code)
PulledPork is a Perl-based script that automates the management of Snort and Suricata IDS/IPS rulesets. It streamlines the process of downloading, parsing, and updating rules, ensuring that intrusion detection systems remain current and effective. -
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HanimeTV
Streaming application designed to provide a mobile-friendly interface
HanimeTV is an open-source streaming application designed to provide a mobile-friendly interface for browsing and consuming video content from external streaming sources. The app focuses on delivering a smooth playback experience by integrating video streaming, search functionality, and content categorization into a single interface. It is typically built with a modern Android-based architecture, allowing efficient handling of media playback and user interaction. The application includes... -
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SafeKeep is a centralized and easy to use backup application that combines the best features of a mirror and an incremental backup.
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$300 in Free Credit Towards Top Cloud ServicesStart your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
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Limada (Linked Marked Data) is a framework for managing relationships of data in non-hierarchical structures, where the individual elements are interconnected in complex ways. The philosophy behind: Information is connection, is relationship of data.
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YaCy Peer-to-Peer Search Engine
Decentralized Web Search Engine
YaCy is a free search engine that anyone can use to build search the internet (www and ftp) or to create a search portal for others (internet or intranet). The scale of YaCy is limited only by the number of users and can index billions of web pages. In p2p mode it is fully decentralized, all users of the search engine network are equal and it is not possible for anyone to censor the content of the distributed index. -
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The APIlity PHP Library provides an object-oriented way to easily access and manage the Google AdWords API from within PHP. This comes along with an abstraction from the SOAP and WSDL details.
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Python Handout
Turn Python scripts into handouts with Markdown and figures
Handout is a lightweight library for embedding rich, interactive components such as exercises, charts, and interactive diagrams directly into static documents like Markdown, Jupyter notebooks, or static HTML pages, enabling authors to create more engaging technical handouts, tutorials, and interactive essays. It’s particularly aimed at educators, presenters, and researchers who want to make their written material come alive with runnable demonstrations and interactive problem sets without... -
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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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The new version of MinimPy (MinimPy2) is available for download at: https://osdn.net/dl/minimpy2/MinimPy2.zip Please send your feedback about this new version to mahmood.saghaei@gmail.com (include MinimPy2 in the subject) ============================================================ MinimPy is a desktop application program for sequential allocation of subjects to treatment groups in clinical trials by using the method of minimization. Comprehensive reference help is available at...
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Muze
Composable data visualisation library for web
Muze is a composable data visualization library for the web that enables developers to create highly interactive and exploratory charts using a data-first design philosophy. Built around a layered Grammar of Graphics approach, it allows users to define visualizations declaratively by mapping data attributes to visual components such as axes, colors, and shapes. The library emphasizes composability, meaning multiple layers and interactions can be combined to produce complex, multi-dimensional visualizations similar to those found in advanced analytics tools like Tableau. ... -
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PyCBC
Learn how to use PyCBC to analyze gravitational-wave data
...These examples explore how to analyze gravitational wave data, how we find potential signals and learn about them. Many of these tutorials will require you to make edits to config files as part of their exercises. At the moment this isn't easy to do on services like Google Colab. However, you can do them either on your local machine or by using services such as mybinder or sciserver which allow a full juypterhub experience with the ability to view and edit text files. Below we give links to the tutorials that should directly work in Google Colab, however. -
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HyperGAN
Composable GAN framework with api and user interface
A composable GAN built for developers, researchers, and artists. HyperGAN builds generative adversarial networks in PyTorch and makes them easy to train and share. HyperGAN is currently in pre-release and open beta. Everyone will have different goals when using hypergan. HyperGAN is currently beta. We are still searching for a default cross-data-set configuration. Each of the examples supports search. Automated search can help find good configurations. If you are unsure, you can start with... -
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Kakao
Nice and simple DSL for Espresso in Kotlin
At Agoda, we have more than 1000 automated tests to ensure our application's quality and give our best experience to the user. All of them are written with Espresso from Google. Even though Espresso is working really well with our test, the code readability is quite low. Let's look at some of the examples of how we write the test. As Agoda developers, we want to improve not just our codebase quality, but also our implementation of tests as well. This is why we are introducing Kakao. The library will make you enjoy writing automated tests like you are drinking hot chocolate. ... -
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Quantitative-Notebooks
Educational notebooks on quantitative finance, algorithmic trading
Quantitative-Notebooks is a curated set of Jupyter notebooks focused on quantitative finance, algorithmic investing, and data-driven portfolio analysis. While each individual notebook is aimed at practical finance workflows, the overall repository helps practitioners and learners use Python, pandas, and numerical libraries to build, test, and evaluate financial strategies using historical market data. The notebooks typically showcase how to perform backtesting, factor analysis, risk assessment, and other quantitative workflows in a reproducible, exploratory format. Because quantitative analysis often requires visualization, statistics, and time series processing, these notebooks also serve as templates for real financial research and strategy prototyping. ... -
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Spectral Python
A python module for hyperspectral image processing
Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more. -
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Exif UserComment Editor
Dialog box to edit Exif comment into images
Display a simple graphical dialog box to add or edit Exif UserComment contained into images. Supports Unicode UTF-8 characters. Originally developed as a plugin for Geeqie image viwer. It requires Python GTK+ and exiv2 tool. -
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NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP
NLP-Models-Tensorflow is a collection of natural language processing model implementations built using the TensorFlow deep learning framework. The repository provides numerous examples of neural network architectures used in modern NLP research and applications, including text classification, language modeling, machine translation, and sentiment analysis. Each model implementation is designed to illustrate how common NLP architectures operate, such as recurrent neural networks, convolutional... -
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Top Deep Learning Projects
A list of popular github projects related to deep learning
TopDeepLearning is a curated index of the most popular GitHub projects related to deep learning, ranked by their star count. Rather than being a library itself, it serves as a curated roadmap and reference guide for anyone exploring the deep learning ecosystem — from beginners to experienced practitioners. By aggregating high-star projects across frameworks (TensorFlow, PyTorch), tools (computer vision, NLP, reinforcement learning), tutorials, and research code, it helps users quickly... -
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pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorch-tutorial is a highly popular educational repository that teaches deep learning with PyTorch through step-by-step examples and well-structured lessons. It is designed primarily for beginners and intermediate practitioners who want to understand PyTorch fundamentals and quickly move toward building real neural network models. The repository walks users through core concepts such as tensors, autograd, neural network modules, convolutional networks, recurrent networks, and transfer...
