Search Results for "google-visualization-python" - Page 82
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7957 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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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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gditools
A Python program/library aimed at GD-ROM image files.
...To use this project you must install the Python 2.7.x branch release binaries. See the README.TXT file for more informations. -
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Scripts to assist blind people to read and write LaTeX. The current line of a file being edited is translated into speech and Braille output. This can be used by assistive technology such as screenreaders.
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DNSGen
Intelligent DNS permutation tool for subdomain discovery
DNSGen is an open source DNS name permutation tool designed primarily for security researchers and penetration testers who need to discover potential subdomains during reconnaissance and attack surface mapping. It analyzes existing domain names and generates numerous intelligent variations that may represent valid subdomains within an organization’s infrastructure. These generated permutations help identify hidden or unlisted services that may not appear in standard DNS queries or public... -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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AttackSurfaceMapper
Automated tool for mapping & expanding organization’s attack surface
AttackSurfaceMapper (ASM) is a reconnaissance and attack surface discovery tool designed to automate the process of mapping potential targets within an organization's infrastructure. It combines open source intelligence (OSINT) with selective active reconnaissance techniques to expand and analyze a target’s external attack surface. Users can supply domains, subdomains, or IP addresses as input, and applies multiple discovery methods to identify additional related assets such as new... -
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mssqlproxy
Toolkit aimed to perform lateral movement in restricted environments
mssqlproxy is a toolkit aimed to perform lateral movement in restricted environments through a compromised Microsoft SQL Server via socket reuse. The client requires impacket and sysadmin privileges on the SQL server. The first step is to execute code in the SQL Server process context. As extended stored procedures are going to be deprecated in future versions of MSSQL, we pay attention to Microsoft recommendations and thus, use CLR assemblies instead. -
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QuteScoop is a platform-independent status indicator for VATSIM. It's available for Windows, Mac and Linux. Visit its new development location https://github.com/qutescoop/qutescoop for current downloads and source code.
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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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xsrfprobe
Advanced toolkit for detecting and exploiting CSRF vulnerabilities
XSRFProbe is an advanced security auditing toolkit designed to detect and analyze Cross Site Request Forgery (CSRF/XSRF) vulnerabilities in web applications. It uses an automated crawling engine that continuously scans a target application, collects forms and endpoints, and evaluates them for potential CSRF weaknesses. XSRFProbe performs numerous systematic checks to determine whether a web endpoint is vulnerable, including inspection of anti-CSRF tokens, cookie validation behavior, and... -
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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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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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The SBMLLayout Project provides libraries and tools for handling layout and render information of SBML Models. Supported are SBML Layout / Render Extension, CellDesigner annotations and JDesigner annotations.
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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. -
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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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XcodeCoverage
Code coverage for Xcode projects (Objective-C only)
XcodeCoverage is a tool that automates the generation of code coverage reports for iOS and macOS projects. It helps developers measure how much of their code is tested, facilitating better testing practices and coverage improvement. -
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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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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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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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deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
The deep-q-learning repository authored by keon provides a Python-based implementation of the Deep Q-Learning algorithm — a cornerstone method in reinforcement learning. It implements the core logic needed to train an agent using Q-learning with neural networks (i.e. approximating Q-values via deep nets), setting up environment interaction loops, experience replay, network updates, and policy behavior. -
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Anaphraseus is a CAT (Computer Aided Translation) tool, OpenOffice.org 2-3 macro set for OpenOffice/LibreOffice Writer similar to famous Wordfast. It works with the Wordfast Translation Memory format (*.TXT), and supports text segmentation.
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qlogtimeliner
Your application log analysis tool.
This tool helps with analysis multithreaded logs by visualising log events on a timeline. It is user responsibility to create rules for log parsing in actionscript (like JavaScript) You need to have latest Qt sdk installed in order to build it from source code. -
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RecNN
Reinforced Recommendation toolkit built around pytorch 1.7
This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like. -
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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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PacBot
PacBot (Policy as Code Bot)
...All resources discovered by PacBot are evaluated against these policies to gauge policy conformance. The PacBot auto-fix framework provides the ability to automatically respond to policy violations by taking predefined actions. PacBot packs in powerful visualization features, giving a simplified view of compliance and making it easy to analyze and remediate policy violations. PacBot is more than a tool to manage cloud misconfiguration, it is a generic platform that can be used to do continuous compliance monitoring and reporting for any domain. -
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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.
