Search Results for "data capture framework"
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Showing 54 open source projects for "data capture framework"
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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.
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Qualify
Claude code to help you do lead research and qualification
...Built with simplicity and extensibility in mind, the project includes REST APIs, database models, and a user interface that can be extended or embedded into existing internal systems. Because it prioritizes lean data structures and predictable code paths, developers can customize pipelines, fields, and behaviors to align with their unique business logic. -
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ML for Trading
Code for machine learning for algorithmic trading, 2nd edition
On over 800 pages, this revised and expanded 2nd edition demonstrates how ML can add value to algorithmic trading through a broad range of applications. Organized in four parts and 24 chapters, it covers the end-to-end workflow from data sourcing and model development to strategy backtesting and evaluation. Covers key aspects of data sourcing, financial feature engineering, and portfolio management. The design and evaluation of long-short strategies based on a broad range of ML algorithms,... -
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React in patterns
A free book that talks about design patterns/techniques
...It is written for developers who already understand React basics and want to think more clearly about application structure. The book explains concepts such as communication, event handlers, composition, controlled inputs, container components, one-way data flow, Flux, Redux, dependency injection, styling, and third-party integration. It includes source code examples that support the patterns described in the text. The repository also provides the book in multiple formats, including web, PDF, Mobi, and ePub. It is useful as a conceptual guide for developers who want stronger React architecture habits without relying only on framework-specific recipes. -
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Megatron-LM
Ongoing research training transformer models at scale
Megatron-LM is a GPU-optimized deep learning framework from NVIDIA designed to train extremely large transformer-based language models efficiently at scale. The repository provides both a reference training implementation and Megatron Core, a composable library of high-performance building blocks for custom large-model pipelines. It supports advanced parallelism strategies including tensor, pipeline, data, expert, and context parallelism, enabling training across massive multi-GPU and multi-node clusters. ... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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aie-book
Resources for AI engineers
...It focuses on bridging the gap between theoretical machine learning knowledge and practical engineering workflows required to deploy AI systems in production. The material emphasizes system design, data pipelines, evaluation strategies, and deployment considerations rather than just model training. It explores how to work with large language models, retrieval systems, and agent-based architectures, providing a practical perspective on how AI is actually used in industry. The repository serves as both a learning resource and a reference, combining explanations, examples, and structured insights into a cohesive framework. -
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Fuzzy machine learning framework
A library and a GUI front-end for fuzzy machine learning
Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use. -
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Quite Universal Circuit Simulator
A circuit simulator with graphical user interface (GUI)
Qucs is a circuit simulator with graphical user interface. The software aims to support all kinds of circuit simulation types, e.g. DC, AC, S-parameter, Transient, Noise and Harmonic Balance analysis. Pure digital simulations are also supported. -
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LLM101n
LLM101n: Let's build a Storyteller
LLM101n is an educational repository that walks you through building and understanding large language models from first principles. It emphasizes intuition and hands-on implementation, guiding you from tokenization and embeddings to attention, transformer blocks, and sampling. The materials favor compact, readable code and incremental steps, so learners can verify each concept before moving on. You’ll see how data pipelines, batching, masking, and positional encodings fit together to train a... -
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TOMUSS
TOMUSS: The Online Multi User Simple Spreadsheet
TOMUSS is an interactive web application (groupware) allowing multiple concurrent users to edit data tables. Its primary goal is the management of students grades. -
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.
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Digital Forensics Guide
Learn all about Digital Forensics and Computer Forensics
...Alongside conceptual explanations, the guide includes practical examples with widely used tools (like Autopsy, Volatility, Sleuth Kit, and network analysis suites), illustrating how investigations proceed from initial data capture to final analysis. The goal is to provide both a learning path and a quick reference for real-world casework, bridging the gap between academic theory and operational practice. -
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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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AllenNLP
An open-source NLP research library, built on PyTorch
AllenNLP makes it easy to design and evaluate new deep learning models for nearly any NLP problem, along with the infrastructure to easily run them in the cloud or on your laptop. AllenNLP includes reference implementations of high quality models for both core NLP problems (e.g. semantic role labeling) and NLP applications (e.g. textual entailment). AllenNLP supports loading "plugins" dynamically. A plugin is just a Python package that provides custom registered classes or additional... -
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Catalyst
Accelerated deep learning R&D
Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make... -
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RegExr
Tool for creating, testing, and learning about Regular Expressions
RegExr is an online tool to learn, build, & test Regular Expressions (RegEx / RegExp). RegExr was created by gskinner.com, and is proudly hosted by Media Temple. Edit the Expression & Text to see matches. Roll over matches or the expression for details. PCRE & JavaScript flavors of RegEx are supported. Validate your expression with Tests mode. The side bar includes a Cheatsheet, full Reference, and Help. You can also Save & Share with the Community, and view patterns you create or favorite... -
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panFMP is a generic framework suitable for harvested XML metadata that is searchable through Apache Lucene without any additional RDBMS. Fields can be defined by XPath allowing for full text queries on all types of fields including numerical ranges. The code was moved to Github: https://github.com/pangaea-data-publisher/panfmp
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Digital Preservation Recorder
NO LONGER MAINTAINED
NO LONGER MAINTAINED, NO LONGER SUPPORTED The Digital Preservation Recorder (DPR) has been developed by the National Archives of Australia to manage a digital preservation workflow. It features antivirus integration and makes use of the Xena framework for preservation conversions of data objects -
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As a library of classes for generating and manipulating music and sound, jMusic provides a solid framework for computer assisted composition in Java. jMusic has a music data structure based upon note/sound events and methods for modifying and structu
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Bibliograph
Open Source Online Bibliographic Data Management
Bibliograph is a powerful and intuitive open source web application for the collaborative collection, editing and publishing of bibliographic data such as a bibliographies, small library collections or shared research data. It features a modern user interface similar to a desktop application. -
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mediaTUM is free software written in Python for archiving and retrieval of images, documents and other research data. It was originally developed in the framework of the DFG project IntegraTUM and is continuously expanded with new functionalities as required.
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...Alongside this, presenting also a graphical representation of the phenomena to the students, they gain a better intuitive understanding of the science that is hidden at the first glance in the usual representation of data - the abstracted plots. In this paper, we present EduKit a software environment based on ROOT framework intended for helping the students learn about the interested nuclear phenomena in a dynamical and graphical interaction. The main goal of EduKit is to setup the required environment for developers in order to create/run a complete educational environment
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SpringBoot-Learning
Create the most comprehensive Spring Boot free tutorial
...It is structured as a long-running learning series rather than a single runnable application. Topics represented in the repository include database access, MyBatis, Spring Data JPA, Redis, logging, Dubbo, and Spring Cloud-related integration. The project helps learners compare approaches across framework generations and explore practical configurations. Its code samples, Maven structure, linked lesson indexes, and community resources make it useful for self-study, troubleshooting, and reviewing established Spring Boot patterns. -
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Open Cezeri Library
Effective Linear Algebra and Computer Vision Library with JAVA
OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1-... -
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This program written in Python is used for capture screenshot or raw data from a UNI-T digital storage oscilloscope.
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Savsoft Quiz v2.0
Savsoft Quiz is an Open Source Quiz Management Web Application
Savsoft Quiz v2.0 is a php based open source web application to create and manage online quiz, test, exam on your website. To read terms and condition please visit: http://savsoftquiz.com/ -
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A General Theory of Reactivity
A General Theory of Reactivity
A General Theory of Reactivity, or GTor, is an experimental specification and conceptual framework for understanding reactive programming primitives. Rather than introducing one application, it attempts to organize values, promises, streams, observables, tasks, generators, and related concepts into a common model. The theory distinguishes singular from plural data and spatial values from temporal ones. It also examines dual relationships such as getters and setters, readers and writers, and promises and resolvers. ...
