Search Results for "data capture framework" - Page 24
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Showing 2278 open source projects for "data capture framework"
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PRIME
Scalable RL solution for advanced reasoning of language models
...PRIME provides training pipelines, datasets, and experimental infrastructure that allow researchers to train models with reinforcement learning tailored for reasoning improvement. The framework also includes data preprocessing utilities and example datasets such as mathematical reasoning tasks that are well suited for process-based reward signals. -
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Kaldi
kaldi-asr/kaldi is the official location of the Kaldi project
...It includes extensive tools for data preparation, feature extraction, acoustic and language modeling, decoding, and evaluation. With its modular design, Kaldi allows users to adapt the system to a wide range of languages and domains. As one of the most influential projects in speech recognition, it has become a foundation for much of the modern work in ASR. -
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TanStack Table
Headless UI for building powerful tables & datagrids for TS/JS
TanStack Table is a headless UI library crafted for building powerful, highly customizable tables and data grids with TypeScript/JavaScript. It provides robust logic, state management, and APIs while intentionally omitting UI markup and styling, giving developers total control over presentation. It supports multiple frameworks, including React, Vue, Solid, Svelte, Qwik, Lit, and Vanilla JS/TS. -
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Apache Shiro
Apache Shiro
Apache Shiro is a powerful and easy-to-use Java security framework that performs authentication, authorization, cryptography, and session management. With Shiro’s easy-to-understand API, you can quickly and easily secure any application, from the smallest mobile applications to the largest web and enterprise applications. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Testcontainers
A library to support tests with throwaway instances of Docker
Testcontainers is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container. Use a containerized instance of a MySQL, PostgreSQL or Oracle database to test your data access layer code for complete compatibility, but without requiring complex setup on developers' machines and safe in the knowledge that your tests will always start with a known DB state. Any other database... -
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rr
Record and Replay Framework
rr aspires to be your primary C/C++ debugging tool for Linux, replacing — well, enhancing — gdb. You record a failure once, then debug the recording, deterministically, as many times as you want. The same execution is replayed every time. rr also provides efficient reverse execution under gdb. Set breakpoints and data watchpoints and quickly reverse-execute to where they were hit. rr works on real applications and is used by many developers to fix real bugs. It makes debugging hard bugs much... -
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Flama
Fire up your models with the flame
Flama is a python library which establishes a standard framework for development and deployment of APIs with special focus on machine learning (ML). The main aim of the framework is to make ridiculously simple the deployment of ML APIs, simplifying (when possible) the entire process to a single line of code. The library builds on Starlette, and provides an easy-to-learn philosophy to speed up the building of highly performant GraphQL, REST and ML APIs. Besides, it comprises an ideal solution... -
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Mongoose for Nest
Mongoose module for Nest framework (node.js)
NestJS Mongoose is a library that provides Mongoose integration with NestJS, enabling seamless database connectivity for MongoDB within NestJS applications. -
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Changelog.com
Changelog makes world-class developer pods
This is the open-source codebase for Changelog, a popular podcast and media site for software developers. Built with Elixir and the Phoenix framework, it serves as a real-world example of a production-grade Phoenix application. The app powers the site’s content publishing, episode distribution, and user interactions, including subscriptions and comments. It emphasizes maintainability and transparency, with clear code structure, tests, and CI/CD workflows. Because the repository is open,... -
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Agently
AI Agent Application Development Framework
Build AI agent native application in very little code. Easy to interact with AI agents in code using structure data and chained-calls syntax. Enhance AI Agent using plugins instead of rebuilding a whole new agent. Agently is a development framework that helps developers build AI agent native applications really fast. You can use and build AI agents in your code in an extremely simple way. -
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miniaudio
Audio playback and capture library written in C,
miniaudio is written in C with no dependencies except the standard library and should compile cleanly on all major compilers without the need to install any additional development packages. All major desktop and mobile platforms are supported. miniaudio gives you complete flexibility. With the low-level API, just initialize a connection to the device and send or receive raw audio data. The modular design of miniaudio allows you to use the low-level API without compromising your ability to... -
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Haystack
Haystack is an open source NLP framework to interact with your data
Apply the latest NLP technology to your own data with the use of Haystack's pipeline architecture. Implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications. Evaluate components and fine-tune models. Ask questions in natural language and find granular answers in your documents using the latest QA models with the help of Haystack pipelines. Perform semantic search and retrieve ranked documents according to meaning,... -
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MCiSEE
All of Minecraft, EASILY get Minecraft resources
MCiSEE is an open-source project designed to integrate Minecraft with computer vision and artificial intelligence experiments. The system focuses on capturing visual information from the game environment and exposing it to external programs for analysis or machine learning research. By converting gameplay data into visual or structured formats, MCiSEE enables researchers and developers to build AI agents capable of interacting with the Minecraft environment. The project can be used as a... -
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RecAI
Bridging LLM and Recommender System
RecAI is an open-source research platform developed by Microsoft to explore how large language models can be integrated into modern recommender systems. Traditional recommender systems rely on structured behavioral data such as user interactions and item embeddings, while large language models excel at understanding language and reasoning about user preferences. RecAI aims to bridge these two domains by creating architectures and training methods that allow LLMs to function as intelligent... -
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Barter
Open-source Rust framework for building event-driven systems
Barter is an open-source, Rust-based ecosystem of libraries for building high-performance, event-driven algorithmic trading systems—covering live trading, paper trading, and backtesting. It is designed for safety, speed, and flexibility in quantitative finance workflows. Use mock MarketStream or Execution components to enable back-testing on a near-identical trading system as live-trading. Centralised cache-friendly state management system with O(1) constant lookups using indexed data... -
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Mobility
Pluggable Ruby translation framework
Mobility is a gem for storing and retrieving translations as attributes on a class. These translations could be the content of blog posts, captions on images, tags on bookmarks, or anything else you might want to store in different languages. Storage of translations is handled by customizable "backends" which encapsulate different storage strategies. The default way to store translations is to put them all in a set of two shared tables, but many alternatives are also supported, including... -
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jev-trader
One AI trade decision every Monad block. Jev on Kuru MON-USDC
...It watches the Kuru MON-USDC order book and normally evaluates market state roughly every few hundred milliseconds. Each completed decision can place a post-only limit order while replacing the previously resting order. The design aims to provide liquidity and capture the spread rather than immediately crossing the book. A dry-run mode uses real market data with simulated fills when no private key is configured. Server endpoints expose snapshots, history, fills, positions, costs, and block events through Server-Sent Events. A web dashboard can visualize the strategy and its ongoing results. -
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Ember CP Validations
Ember computed property based validations
Ember computed property-based validations. An EmberJS validation framework that is completely and utterly computed property based. No observers were used nor harmed while developing and testing this addon. Lazily computed validations. Ruby on rails inspired validators. Support for Ember Data Models, Objects, Components, Services, etc. Support for nested models and objects. Synchronous and asynchronous support. -
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Ollamac
Mac app for Ollama
...Because the models run locally, the system enables private AI workflows without sending data to external APIs or cloud services. Ollamac supports different Ollama models and provides features designed to improve usability such as syntax highlighting and configurable settings. -
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MCP Apps
Official repo for spec & SDK of MCP Apps protocol
MCP Apps is an extension ecosystem for a context-driven AI application protocol that lets developers build modular, interoperable apps that work together in shared model environments. The project defines standards, interfaces, and reusable components so different application modules can communicate context, state, and user intent reliably while preserving privacy and user control. Designed to work with large language models and agent systems, Ext-Apps lets developers create plugins that... -
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HRM-Text
1B text generation model based on the HRM architecture
HRM-Text is a one-billion-parameter text generation model and pretraining framework based on the Hierarchical Reasoning Model architecture. It is designed to make foundation model pretraining more accessible by reducing compute and data requirements compared with traditional scaling-heavy approaches. The system combines hierarchical recurrent design, task-completion strengthening, and latent-space reasoning. Its training stack includes PrefixLM sequence packing, FlashAttention 3 kernels, PyTorch FSDP2, evaluation scripts, and checkpoint conversion tools. ... -
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autoresearch-mlx
Apple Silicon (MLX) port of Karpathy's autoresearch
...The system is tailored for Apple hardware, leveraging unified memory and MLX capabilities to achieve efficient training on Mac devices. It includes a minimal and focused project structure consisting of data preparation utilities, a modifiable training file, and a program specification that governs the agent’s behavior. The framework logs experiment results and supports continuous iteration, enabling long-running optimization cycles that can reveal hardware-specific performance patterns. -
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GoogleSQL
GoogleSQL (formerly ZetaSQL) - Analyzer Framework for SQL
GoogleSQL is a reusable SQL language framework designed to standardize how SQL is written and analyzed across different systems. Previously called ZetaSQL, it defines core elements such as syntax, data models, type systems, and query semantics. Rather than executing queries, GoogleSQL focuses on parsing and validating SQL statements. It ensures consistent behavior for tasks like name resolution, type validation, and automatic casting. -
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Piral
Framework for next generation web apps using micro frontends
Build highly modular applications fully flexible for large-scale portal solutions. Adjusted to your development needs, not the other way around. Piral is a framework for next-generation portal applications. It allows you to build web apps that follow the micro frontends architecture in basically no time. Piral lets you use your standard tooling to be as efficient as possible. Perfect for distributed systems running in the cloud. No proprietary software hijacking the security of your app.... -
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Olares
Olares: An Open-Source Sovereign Cloud OS for Local AI
Olares is an AI-powered chatbot framework designed to support real-time natural language understanding and response generation.
