Search Results for "data capture framework" - Page 40
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Showing 2572 open source projects for "data capture framework"
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AB3DMOT
Official Python Implementation for "3D Multi-Object Tracking
AB3DMOT is a real-time 3D multi-object tracking framework designed for applications such as autonomous driving and robotics perception. The system processes detection results from 3D object detectors that analyze LiDAR point clouds and uses them to track multiple objects across consecutive frames. Its tracking pipeline relies on a combination of classical algorithms, including a Kalman filter for state estimation and the Hungarian algorithm for data association between detected objects and existing tracks. ... -
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langchain-prefect
Tools for using Langchain with Prefect
...We need to know details about how our apps work, even when we want to use tools with convenient abstractions that may obfuscate those details. Prefect is built to help data people build, run, and observe event-driven workflows wherever they want. It provides a framework for creating deployments on a whole slew of runtime environments (from Lambda to Kubernetes), and is cloud agnostic (best supports AWS, GCP, Azure). For this reason, it could be a great fit for observing apps that use LLMs. RecordLLMCalls is a ContextDecorator that can be used to track LLM calls made by Langchain LLMs as Prefect flows. ... -
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Network Instrument Workbench
Script driven framework for Prologix GPIB - Lan adapter & more
A layered set of functions to abstract the Prologix command set into an easy to use bash shell script format. To provide access to and control of electronic test equipment, initially for data logging applications. Functions to configure, send commands, data and status. Also to provides functionality for direct access to other network enabled equipment. Command line and makefile environment. Developed under FreeBSD, but built and tested without code change under Debian, XUbuntu and Devuan Linux. Overall, the aim is to provide some of the control functionality and simplicity of the old HP Basic instrument control framework, accessable from any machine on the network. ... -
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FluentLenium
FluentLenium is a web & mobile automation framework
FluentLenium is a React-ready website automation framework that extends Selenium to write readable, reusable, reliable and resilient UI functional tests. It’s written and maintained by people who are automating browser-based tests on a daily basis. FluentLenium provides a Java-fluent interface to Selenium, and brings some magic to avoid common issues faced by Selenium users. FluentLenium is shipped with adapters for JUnit4, JUnit5, TestNG, Spock, Spring TestNG, Cucumber and Kotest, but it... -
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Spektral
Graph Neural Networks with Keras and Tensorflow 2
Spektral is a Python library for graph deep learning, based on the Keras API and TensorFlow 2. The main goal of this project is to provide a simple but flexible framework for creating graph neural networks (GNNs). You can use Spektral for classifying the users of a social network, predicting molecular properties, generating new graphs with GANs, clustering nodes, predicting links, and any other task where data is described by graphs. Spektral implements some of the most popular layers for graph deep learning. ... -
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The Related Values Processing Framework helps the integration of Process Control Data Historian Systems.
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crawly
High-level web crawling and scraping framework for Elixir apps
Crawly is a high-level application framework for crawling websites and extracting structured data using the Elixir programming language. It provides a complete environment for building web crawlers that systematically visit pages, collect information, and transform that data into structured formats for further processing. Crawly is designed for tasks such as data mining, information processing, and building historical archives of web content. -
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AI-Agent-Host
The AI Agent Host is a module-based development environment.
...The AI Agent Host is a module-based environment designed to facilitate rapid experimentation and testing. It includes a docker-compose configuration with QuestDB, Grafana, Code-Server and Nginx. The AI Agent Host provides a seamless interface for managing and querying data, visualizing results, and coding in real-time. The AI Agent Host is built specifically for LangChain, a framework dedicated to developing applications powered by language models. LangChain recognizes that the most powerful and distinctive applications go beyond simply utilizing a language model and strive to be data-aware and agentic. ... -
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OpenCombine
Open source implementation of Apple's Combine framework
OpenCombine is an open-source implementation of Apple’s Combine framework, providing a reactive programming model for handling asynchronous data streams in Swift across multiple platforms. It replicates the core concepts of Combine, such as publishers, subscribers, and operators, enabling developers to process values over time in a declarative and composable way. One of its primary goals is compatibility, allowing developers to use Combine-like APIs on platforms where Apple’s official implementation is unavailable, including older Apple operating systems, Linux, Windows, and WebAssembly environments. ... -
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Hippo4j
Powerful dynamic thread pool framework with monitoring/alarm functions
Dynamically observable thread pool framework to improve online operation guarantee capabilities for business systems. Dynamically change thread pool parameters when the application is running, including not limited to core, maximum thread, blocking queue size, and rejection strategy, etc., and support different node thread pool configuration differentiation under the application cluster. -
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4WS Warp
Development of extjs based rich web applications
Warp is an open source framework that can be used to develop Java based applications, using Java and JEE5. It allows to develop Desktop Applications or 3 Tier Applications based on Swing extensions or Rich web applications based on ExtJS and JAX-RS (Restful web services). Business logic and data access tiers can be developed using JPA or JDBC and EJB 3 or any other Java based technology. -
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Mars Framework
Mars is a tensor-based unified framework for large-scale data
Mars is a distributed computing framework designed to scale scientific computing and data science workloads across large clusters while preserving the familiar programming interfaces of common Python libraries. The project provides a tensor-based execution model that extends the capabilities of tools such as NumPy, pandas, and scikit-learn so that large datasets can be processed in parallel without rewriting code for distributed environments. -
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canvas-sketch
Framework for making generative artwork in JavaScript and the browser
...It integrates smoothly with modern JavaScript workflows and supports modular development patterns. The framework is commonly used in creative coding communities for sketches, data visualizations, and interactive installations. Overall, canvas-sketch serves as a productivity-focused foundation for browser-based visual experimentation and rapid iteration. -
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SASUnit
Unit testing for SAS(TM)-programs
SASUnit is a unit testing framework for SAS(TM)-programs. It can be used for the development, execution and automatic documentation of tests for SAS programs. SASUnit is written purely on the basis of SAS macros and a few shell commands. There are two videos on YouTube: * Getting started: https://www.youtube.com/watch?v=Kc66hADHNyI * Usage of setup scripts: https://www.youtube.com/watch?v=9drW_6eg6G4 SASUnit is brought to you by HMS Analytical Software... -
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PIFuHD
High-Resolution 3D Human Digitization from A Single Image
PIFuHD (Pixel-Aligned Implicit Function for 3D human reconstruction at high resolution) is a method and codebase to reconstruct high-fidelity 3D human meshes from a single image. It extends prior PIFu work by increasing resolution and detail, enabling fine geometry in cloth folds, hair, and subtle surface features. The method operates by learning an implicit occupancy / surface function conditioned on the image and camera projection; at inference time it queries dense points to reconstruct a... -
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ScikitLearn.jl
Julia implementation of the scikit-learn API
The scikit-learn Python library has proven very popular with machine learning researchers and data scientists in the last five years. It provides a uniform interface for training and using models, as well as a set of tools for chaining (pipelines), evaluating, and tuning model hyperparameters. ScikitLearn.jl brings these capabilities to Julia. Its primary goal is to integrate both Julia- and Python-defined models together into the scikit-learn framework. -
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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. If you are working or plan to work on research in graph deep learning, DIG enables you to develop your own methods within our extensible framework, and compare with current baseline methods using common datasets and evaluation metrics without extra efforts. It includes unified implementations of data interfaces, common algorithms, and evaluation metrics for several advanced tasks. Our goal is to enable researchers to easily implement and benchmark algorithms. -
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Weave
Scientific reports/literate programming for Julia
Weave is a scientific report generator/literate programming tool for the Julia programming language. It resembles Pweave, knitr, R Markdown, and Sweave. You can write your documentation and code in an input document using Markdown, Noweb or ordinal Julia script syntax, and then use the weave function to execute code and generate an output document while capturing results and figures. Supports various output document formats: HTML, PDF, GitHub markdown, Jupyter Notebook, MultiMarkdown,... -
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MVVM
Analyze the principle of vue implementation and implement mvvm
This repository presents a minimal JavaScript implementation of the MVVM pattern to illustrate how reactive data binding systems work under the hood. It wires up data observation with watchers and a dependency-tracking mechanism, then connects that to a simple template compiler and directive system to update the DOM when state changes. Two-way bindings and computed values demonstrate how views can reflect model changes instantly while user input propagates back to the data layer. ... -
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w3up
Client for the w3up API
w3up-client and the available hosted APIs are currently beta preview features. JavaScript library that provides a convenient interface to the w3up platform, a simple "on-ramp" to the content-addressed decentralized IPFS network. w3up services use ucanto, a Remote Procedure Call (RPC) framework built around UCAN, or User Controlled Authorization Networks. UCANs are a powerful capability-based authorization system that allows fine-grained sharing of permissions through a process called... -
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Amazon Kinesis Flink Connectors
Contains various Apache Flink connectors to connect to AWS data
This library contains various Apache Flink connectors to connect to AWS data sources and sinks. This repository contains various Apache Flink connectors to connect to AWS Kinesis data sources and sinks. Flink maintain backwards compatibility for the Sink interface used by the Firehose Producer. This project is compatible with Flink 1.x, there is no guarantee it will support Flink 2.x should it release in the future. -
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MetalPetal
A GPU accelerated image and video processing framework built on Metal
MetalPetal is an image processing framework based on Metal designed to provide real-time processing for still images and video with easy-to-use programming interfaces. This chapter covers the key concepts of MetalPetal, and will help you to get a better understanding of its design, implementation, performance implications, and best practices. A MTIImage object is a representation of an image to be processed or produced. -
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Merlion
A Machine Learning Framework for Time Series Intelligence
Merlion is a Python library for time series intelligence. It provides an end-to-end machine learning framework that includes loading and transforming data, building and training models, post-processing model outputs, and evaluating model performance. It supports various time series learning tasks, including forecasting, anomaly detection, and change point detection for both univariate and multivariate time series. This library aims to provide engineers and researchers a one-stop solution to rapidly develop models for their specific time series needs, and benchmark them across multiple time series datasets. -
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FuzzBench
FuzzBench - Fuzzer benchmarking as a service
FuzzBench is a large-scale, open research platform developed by Google to evaluate and benchmark fuzzers — automated software testing tools that detect vulnerabilities through randomized input generation. It provides a standardized, reproducible environment for comparing the performance and effectiveness of different fuzzing algorithms on real-world software targets. FuzzBench integrates with the OSS-Fuzz infrastructure, allowing it to run experiments on authentic open source projects and... -
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Sockeye
Sequence-to-sequence framework, focused on Neural Machine Translation
Sockeye is an open-source sequence-to-sequence framework for Neural Machine Translation built on PyTorch. It implements distributed training and optimized inference for state-of-the-art models, powering Amazon Translate and other MT applications. For a quickstart guide to training a standard NMT model on any size of data, see the WMT 2014 English-German tutorial. If you are interested in collaborating or have any questions, please submit a pull request or issue.
