Search Results for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files" - Page 99
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Showing 5556 open source projects for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files"
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Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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Data management solutions for confident marketingVerify, deduplicate, manipulate, and assign records automatically to keep your CRM data accurate, complete, and ready for business.
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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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Jupytab
Display in Tableau data from Jupyter notebooks
Jupytab allows you to explore in Tableau data which is generated dynamically by a Jupyter Notebook. You can thus create Tableau data sources in a very flexible way using all the power of Python. This is achieved by having Tableau access data through a web server created by Jupytab. -
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ANDRAX Hacker's Platform
Advanced Ethical Hacking and Penetration Testing Platform
The most complete and Advanced Penetration Testing and Ethical Hacking Platform dedicated to Advanced Professionals. Developed to bring the power of Offensive Security in the anyone's pocket 100% OPEN SOURCE - ANDRAX is a independent solution for Security professionals who loves Linux -
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Eiten
Statistical and Algorithmic Investing Strategies for Everyone
Eiten is an open-source Python project focused on providing statistical and algorithmic trading strategies powered by data analysis and machine learning techniques. It is designed to make quantitative investing more accessible by offering ready-to-use strategies that analyze market behavior, detect patterns, and generate actionable insights. The project includes tools for evaluating stock performance, identifying trends, and applying algorithmic models to financial data, enabling users to experiment with different investment approaches. ... -
Iris Powered By Generali - Iris puts your customer in control of their identity.Iris Identity Protection API sends identity monitoring and alerts data into your existing digital environment – an ideal solution for businesses that are looking to offer their customers identity protection services without having to build a new product or app from scratch.
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Age and Gender Estimation
Keras implementation of a CNN network for age and gender estimation
...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 model on the APPA-REAL (validation) dataset. We pose the age regression problem as a deep classification problem followed by a softmax expected value refinement and show improvements over direct regression training of CNNs. Our proposed method, Deep EXpectation (DEX) of apparent age, first detects the face in the test image and then extracts the CNN predictions from an ensemble of 20 networks on the cropped face. -
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surpriver
Find big moving stocks before they move using machine learning
...The framework includes modules for retrieving market data, computing technical indicators, and applying anomaly detection algorithms to identify unusual patterns. The project is intended as a research tool for quantitative finance experiments and algorithmic trading strategy development. -
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Datadog Agent
Datadog Agent Version 5
Datadog Agent is an open-source agent for collecting metrics, logs, and traces from servers, applications, and services, sending data to Datadog for analysis. -
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Tag Magic is an application that tries to dynamically (or automagically) determine the correct ID3v2.3 tag of media files based on the diectory structure the files are located in. The project is completely written in Python 2.6.
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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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Securden Privileged Account ManagerDiscover and manage administrator, service, and web app passwords, keys, and identities. Automate management with approval workflows. Centrally control, audit, monitor, and record all access to critical IT assets.
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iHome by ionware
iHome Smart Home System Platform
iHome is a fully tested Smart Home Automation system using the Raspberry Pi Zero WiFi SBC and Linux OS and has all the functional features of NEST or ECOBEE smart thermostats with the added benefit of full privacy and security at less than half the price! It incorporates MBLogic with algorithms and Modbus coms for HVAC home control via the ionware modbus compatible ionC1 input/output controller board. The iHome software system comes fully configured as a SD Card image file for Raspberry Pi Zero wifi Plug and Play capability complete with MBLogic, Node-RED and MQTT already fully installed and ready to go. ... -
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Metrix++
Management of source code quality is possible.
...Every metric has got 'turn-on' and other configuration options. There are no predefined thresholds for metrics or rules. You can choose and configure any limit you want. - High-performance. Processes thousands of files per minutes. - Seamless application to legacy code due to embedded capability to differentiate new code, modified and legacy. -
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AWS IoT Greengrass Core SDK
SDK to use with functions running on Greengrass Core using Python
...To use the AWS IoT Greengrass Core SDK, you must first import the AWS IoT Greengrass Core SDK in your Lambda function as you would with any other external libraries. You then need to create a client for ‘iot-data’ or ‘lambda’. Use ‘iot-data’ if you wish to publish messages to the local Greengrass Core and interact with the local Shadow service. Use ‘lambda’ if you wish to invoke other Lambda functions deployed to the same Greengrass Core. As new features are added to AWS IoT Greengrass, newer versions of the AWS IoT Greengrass SDK may be incompatible with older versions of the AWS IoT Greengrass core. -
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SQLFlow
SQL compiler bridging databases and machine learning workflows
...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. -
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HanimeTV
Streaming application designed to provide a mobile-friendly interface
...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 features for browsing content libraries, filtering by categories, and accessing detailed metadata for each item. It emphasizes usability and performance, ensuring that users can navigate and stream content with minimal latency. ... -
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Makani
Makani was developed a commercial-scale airborne wind turbine
Makani was an ambitious Google X project that sought to harness wind energy using airborne wind turbines — autonomous kites capable of generating power while flying in crosswind patterns. This open-source repository contains the complete software stack that powered Makani’s research and flight systems, including the flight simulator, autopilot controller, avionics firmware, visualization tools, and ground control software. The software enables simulation, control, and analysis of the Makani... -
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FontForge Windows builds
Unofficial Windows builds of FontForge
The aim of this project is to compile up-to-date Windows builds of FontForge. For 'stable' builds, see https://github.com/fontforge/fontforge/releases The build system used was based off that offered by Matthew Petroff (http://www.mpetroff.net/software/fontforge-windows/), but has since been practically rewritten. New in 11/07/2020: * Synced with the 20201107 release. New in 06/04/2020: * Updated to latest master, picks up a clipboard copying fix New in 14/03/2020: * Synced... -
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Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
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python-aria-mirror-bot
A telegram bot for all your mirror needs | OG Repo
This is a telegram bot written in Python for mirroring files on the internet to our beloved Google Drive. -
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AICtools
Workflow and set of tools for Automated Imagery Classification
AICtools is a GIS workflow and set of tools to facilitate Automated Imagery Classification (AIC) and analysis of surface features over time. Allows bulk processing of large data sets, including automated metadata processing/filtering, compressed archive extraction and file manipulation, raster band compositing, pre-processing, mosaicking, clipping. Automates a subset of operations involved in classification of satellite imagery and the associated raster calculations used for time trend analysis. -
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MMdnn
Tools to help users inter-operate among deep learning frameworks
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks,... -
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Multilingual Speech Synthesis
An implementation of Tacotron 2 that supports multilingual experiments
...We provide data for comparison of three multilingual text-to-speech models. The first shares the whole encoder and uses an adversarial classifier to remove speaker-dependent information from the encoder. The second has separate encoders for each language. -
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motionEyeOS
A video surveillance OS for single-board computers
...The OS is based on BuildRoot and uses motion as a backend and motionEye for the frontend. Compatible with most USB cameras as well as with the Raspberry PI camera module. Motion detection with email notifications and working schedule. JPEG files for still images, AVI files for videos. Connects to your local network using ethernet or wifi. File storage on SD card, USB drive or network SMB share. Uploading of media files to cloud storage services (Google Drive, Dropbox), media files are visible in the local network as SMB shares. Media files can also be accessed through the built-in FTP server or SFTP server. -
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Rdbtools
Parse Redis dump.rdb files, Analyze Memory, and Export Data to JSON
Rdbtools is a parser for Redis' dump.rdb files. The parser generates events similar to an XML sax parser and is very efficient memory-wise. Rdbtools is written in Python, though there are similar projects in other languages. Every run of RDB Tool requires to specify a command to indicate what should be done with the parsed RDB data. Valid commands are JSON, diff, justkeys, justkeyvals and protocol. -
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ebfformat
An Efficient Binary data Format
...It is also designed to simplify the programming of input output routines in different programming languages. In a nutshell an EBF file is a collection of data objects. Each data object is specified by a unique name and a single file can have multiple data objects. Each data object is preceded by a meta-data or header which describes the binary data associated with it. Among other things, this header allows the files to be portable across systems with different endianess. -
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AlphaPy
Python AutoML for Trading Systems and Sports Betting
AlphaPy is a Python-based AutoML framework tailored for trading systems and sports betting applications. Built on popular libraries like scikit-learn and pandas, it enables data scientists and speculators to craft predictive models, ensemble strategies, and automated forecasting systems with minimal setup. Run machine learning models using scikit-learn, Keras, xgboost, LightGBM, and CatBoost. Generate blended or stacked ensembles. Create models for analyzing the markets with MarketFlow. Develop trading systems and analyze portfolios using MarketFlow and Quantopian's pyfolio.
