Search Results for "processing" - Page 75
Sort By:
Showing 5101 open source projects for "processing"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
collectd
The system statistics collection daemon
...Collected values can be stored, forwarded, logged, or exported to tools such as Graphite, Prometheus, Kafka, MQTT, RRDTool, and other monitoring destinations. collectd is built for efficient daemon-based operation, using caching, multithreading, and plugin-based processing to reduce system overhead. It is well suited for administrators and infrastructure teams that need flexible, lightweight, and extensible metrics collection. -
2
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... -
3
DeText
A Deep Neural Text Understanding Framework
DeText is a Deep Text understanding framework for NLP-related ranking, classification, and language generation tasks. It leverages semantic matching using deep neural networks to understand member intents in search and recommender systems. As a general NLP framework, DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks. -
4
imaginary
Fast, simple, scalable, Docker-ready HTTP microservice
Imaginary is a high-performance HTTP microservice for image processing written in Go and powered by bimg and libvips. It can run as a private or public service and is designed for large-scale, low-memory image workloads. Images can be supplied through POST bodies, local files, or remote URLs. Supported operations include resizing, cropping, rotation, conversion, watermarking, and other transformations exposed through a simple HTTP API. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
5
Tdarr V2
Distributed transcode automation using FFmpeg/HandBrake
...The system uses FFmpeg and HandBrake to convert media files according to user-defined rules, such as codec standardization, bitrate optimization, or format compatibility. Tdarr also includes advanced features like health checks, plugin-based processing pipelines, and automated scheduling to maintain libraries continuously. Its modular design allows users to scale processing power by adding nodes on different devices, making it suitable for both personal media servers and enterprise workflows. With detailed analytics, file property searches, and customizable workflows, Tdarr provides a powerful solution for maintaining clean, efficient, and compatible media collections. -
6
GluonNLP
NLP made easy
...It provides easy-to-use tools that helps you load the text data, process the text data, and train models. To facilitate both the engineers and researchers, we provide command-line-toolkits for downloading and processing the NLP datasets. Gluon NLP makes it easy to evaluate and train word embeddings. Here are examples to evaluate the pre-trained embeddings included in the Gluon NLP toolkit as well as example scripts for training embeddings on custom datasets. Fasttext models trained with the library of Facebook research are exported both in text and a binary format. ... -
7
Base64 for Windows
Encode and Decode Base64 Files or STDIN
...base64 is a command line utility which encodes and decodes files in this format. It can be used within a pipeline as an encoding or decoding filter, and is most commonly used in this manner as part of an automated mail processing system. -
8
CSVfix
Command-line tool specifically designed to deal with CSV data
...Unfortunately, the CSV files you are given, or are required to produce, never seem to be in quite the right format for your particular business application. And because of the structure of CSV records, using standard text processing tools like sed, awk and perl is not as simple as it might be. Usage: http://csvfix.byethost5.com/csvfix15/csvfix.html?csvfix.html?Usage.html?i=1&i=2 CSVfix aims to provide a solution to these problems. It is a command-line stream editor specifically designed to deal with CSV data. With it you can, among other things: -
9
SQLFlow
SQL compiler bridging databases and machine learning workflows
SQLFlow is an open source project designed to bridge the gap between traditional SQL-based data processing and modern machine learning workflows by extending SQL syntax with AI capabilities. It acts as a compiler that translates SQL programs into executable workflows, enabling users to train, evaluate, and deploy machine learning models directly from SQL statements. It integrates with multiple database engines such as MySQL, Hive, and MaxCompute, while also supporting machine learning frameworks like TensorFlow and XGBoost. ... -
Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
10
Delta ML
Deep learning based natural language and speech processing platform
DELTA is a deep learning-based end-to-end natural language and speech processing platform. DELTA aims to provide easy and fast experiences for using, deploying, and developing natural language processing and speech models for both academia and industry use cases. DELTA is mainly implemented using TensorFlow and Python 3. DELTA has been used for developing several state-of-the-art algorithms for publications and delivering real production to serve millions of users. -
11
BC for Windows
BC v1.05 (Basic Calculator) An arbitrary precision calculator language
bc is a language to supports arbitrary precision numbers with interactive execution of statements. It starts by processing code from all the files listed on the command line in the order they are listed. After all files have been processed, bc starts reading from the standard input. All code is executed as it is read. -
12
LiVES
LiVES is a Video Editing System. It is designed to be simple to use, y
LiVES mixes realtime video performance and non-linear editing in one professional quality application. It is designed to be simple to use, yet powerful. It is small in size, yet it has many advanced features. Using LiVES, you can start editing and making video right away, without having to worry about formats, frame sizes, or framerates. It is a very flexible tool which is used by both professional VJ's and video editors - mix and switch clips from the keyboard, use dozens of realtime... -
13
XPL
Unity Post Processing Stack Library
The XPL Library project is a collection of advanced post-processing effects designed for use in Unity projects. It provides a wide range of visual effects such as bloom, color grading, motion blur, and stylized filters, enabling developers to enhance the visual quality of their games. The library is built with performance in mind, ensuring that effects can be applied efficiently in real-time environments. -
14
agent99
Passive network monitor.
agent99 watches your network and generates a stream of events from the traffic it sees. Processing of the events is the job of other software, but some of it is immediately useful. It can log clear text usernames and passwords if it sees them. -
15
A collection of small utilities for: data extraction (text or binary files), data buffering, message queue control, column addition, date/time manipulation, and data recovery testing.
-
16
Muze
Composable data visualisation library for web
...Muze also automatically generates cross-chart interactions, allowing multiple visualizations to respond to user input in a coordinated way. By leveraging WebAssembly for data processing, it achieves high performance even with large datasets. -
17
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 models for text processing, and transformer-style attention mechanisms. ... -
18
SAR Synthetic Aperture Radar
Collection of MATLAB codes, simulations, and summaries
...The readme states that these were research/learning codes, with experiments and reports, and no further maintenance is expected. InSAR (interferometric SAR) simulation and processing. PolSAR (polarimetric SAR) calibration algorithms. -
19
PyMesh
Geometry processing library for Python
PyMesh is a codebase developed by Qingnan Zhou for his PhD research at New York University. It is a rapid prototyping platform focused on geometry processing. PyMesh is written with both C++ and Python, where computational intensive functionalities are realized in C++, and Python is used for creating minimalistic and easy-to-use interfaces. PyMesh is a rapid prototyping platform focused on geometry processing. It provides a set of common mesh processing functionalities and interfaces with a number of state-of-the-art open-source packages to combine their power seamlessly under a single developing environment. ... -
20
Geophysical Library is a C++-library to handle geophysical data. At the moment the focus is on magnetotelluric and seismic data. It also includes a genetic algorithm for data inversion, signal processing and statistics routines.
-
21
DAMIAN
Identification of pathogenic microorganisms in diagnostic samples
DAMIAN provides capabilities to detect known and novel pathogens in RNA and DNA samples of various sources. It integrates all required processing steps, ranging from the quality control of sequencing reads to the generation of comprehensive reports. The method works for any host organism. -
22
Leseratte is a Java parser for German written language. Currently, it contains a German lexicon (based on the Wiktionary), inflexion rules, a grammar and a parser. (Semantics component planned.) Usable as a Java library, also provides a graphical UI.
-
23
-
24
discogs_prices
Adds prices to a Discogs.com exported Collections/Wantlist CSV File
Takes a discogs.com exported csv file of a collection or wantlist and processes each line of the file. While processing each line, it will get the "release" number field, go to the specific "release" web page on discogs.com and download the page. As it downloads the page, it extracts the Lowest, Median, and highest price values and appends the information to the end of each line to a new csv file. That's it! Online version is available her: http://kiria.duckdns.org/discogs -
25
Forecasting Best Practices
Time Series Forecasting Best Practices & Examples
...The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than creating implementations from scratch, we draw from existing state-of-the-art libraries and build additional utilities around processing and featuring the data, optimizing and evaluating models, and scaling up to the cloud. The examples and best practices are provided as Python Jupyter notebooks and R markdown files and a library of utility functions.
