Search Results for "frameworks" - Page 78
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Showing 8064 open source projects for "frameworks"
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OpenGranola
A meeting note-taker that talks back
...It aims to streamline the process of integrating language models into real-world workflows by offering a structured environment where components such as prompts, tools, and execution pipelines can be composed and reused. The project emphasizes clarity and minimalism, reducing the complexity often associated with orchestration frameworks while still enabling powerful interactions between AI agents and external systems. OpenGranola allows developers to define workflows declaratively, making it easier to test, iterate, and maintain AI-driven logic without deeply coupling it to infrastructure. It is particularly suited for rapid prototyping as well as production-ready pipelines that require flexibility and transparency. -
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TNT
A lightweight library for PyTorch training tools and utilities
TNT is a lightweight training framework developed by Meta that simplifies the process of building and managing machine learning training loops using PyTorch. The project focuses on providing a flexible yet structured environment for implementing training pipelines without the complexity of large deep learning frameworks. It introduces modular abstractions that allow developers to organize training logic into reusable components such as trainers, evaluators, and callbacks. This design helps separate concerns such as model training, evaluation, logging, and checkpointing, making machine learning experiments easier to manage. The framework is particularly useful for large-scale experiments where maintaining clear training workflows becomes increasingly important. ... -
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Finance
150+ quantitative finance Python programs
...The project focuses on explaining key principles used in finance and investment analysis, including topics such as financial statements, valuation models, portfolio theory, and financial markets. The repository is designed as a study reference for students and professionals who want to understand financial systems and the analytical frameworks used in financial decision-making. It organizes concepts into structured documents that explain both theoretical principles and practical calculations used in finance. The materials often include definitions, formulas, conceptual explanations, and examples to help readers understand how financial models and instruments function in real markets. -
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DecryptPrompt
Summarize Prompt & LLM papers, open source data & models
...It serves as a structured knowledge base where developers and researchers can quickly find key papers about topics such as chain-of-thought reasoning, prompt optimization, reasoning frameworks, and model training techniques. The repository organizes research into thematic sections that cover different prompting methodologies and reasoning paradigms used in LLM development. Many of the resources focus on understanding how prompts influence model behavior and how prompting strategies can improve reasoning or efficiency. -
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llm_interview_note
Mainly record the knowledge and interview questions
...By organizing topics in a hierarchical documentation format, it enables readers to progress from basic NLP concepts to advanced topics like mixture-of-experts architectures and large-scale training frameworks. -
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OpenUI
OpenUI let's you describe UI using your imagination
...The project aims to accelerate UI prototyping by combining generative AI with modern frontend tooling. Users can iteratively refine designs through conversational prompts and convert generated layouts into frameworks like React or Web Components. OpenUI supports multiple model providers through LiteLLM, making it flexible across different AI ecosystems. The system is designed both as a practical prototyping tool and as a research platform for building next-generation AI-powered developer experiences. Its architecture separates frontend rendering from backend model orchestration, enabling extensibility and customization. ... -
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Convert to it!
Truly universal online file converter
...The repository focuses on practical transformations between formats, making it useful in scripting pipelines, automation tasks, and small backend utilities where reliability matters more than heavy frameworks. Its structure emphasizes clarity and minimal dependencies so developers can quickly understand and extend the codebase. The tool is intended to be composable, meaning it can be integrated into larger workflows without imposing complex runtime requirements. Because it is open source and relatively compact, it serves both as a usable utility and as a reference implementation for building custom converters. -
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InterviewGuide
Repository that collects extensive computer science
...It was created by a developer who documented his own journey from campus to tech industry, including detailed learning pathways for languages like C/C++, Go, JavaScript, and frameworks like Vue, as well as topics such as operating systems, networks, databases, and Redis. The repository contains curated algorithm and data structure explanations, collections of interview questions, high-frequency topics, and practical problem-solving guides to help users brush up on skills that are often tested in technical interviews. -
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Vue Bits
Open source collection of animated, interactive Vue components
...Each component is designed with customization in mind, allowing developers to tweak props and tailor animations and styles to fit their project’s aesthetic and functional needs. The collection integrates smoothly with modern Vue frameworks and tools, including support for Vue 3 and Nuxt, so developers can drop components into production apps without lengthy setup. With minimal external dependencies and a focus on performance, vue-bits enables fast, fluid animations that enhance user experience without incurring heavy overhead. -
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MemMachine
Universal memory layer for AI Agents
...Unlike ephemeral LLM prompt state, MemMachine supports distinct memory types—short-term conversational context, long-term persistent knowledge, and profile memory for personalized facts—persisted in optimized stores (e.g., graph databases for episodic lines of reasoning and SQL for user facts) to support robust, context-aware intelligence in agents. It offers flexible APIs, a Python SDK, REST interfaces, and MCP (Model Context Protocol) connectivity to integrate seamlessly with agent frameworks receiving and storing memories over time, effectively boosting relevance, continuity, and tailored behavior. -
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Liveblocks
Liveblocks gives you the building blocks and infrastructure
...Rather than building real-time synchronization from scratch, developers can leverage Liveblocks’ SDKs and APIs to focus on their product’s unique logic while relying on robust back-end support for distributed state and event propagation. The platform is designed to work seamlessly with modern frameworks, offering pre-built components and integration guides that reduce complexity and accelerate development of features that would otherwise require substantial real-time engineering. -
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SCAIL
Towards Studio-Grade Character Animation via In-Context Learning of 3D
...While specific documentation about SCAIL’s exact goals and implementation is limited from the repository context alone, the project appears to be part of a collection of machine learning and AI research tools that facilitate scalable model development, evaluation, or application workflows. Given its listing alongside other ZAI projects like speech recognition and text-to-speech systems, SCAIL likely emphasizes scalable, composable AI learning frameworks that support researchers and practitioners in experimenting with learning algorithms, datasets, and model components. The repository structure suggests a focus on flexibility and extensibility, with potential integration into other ZAI tooling for training or analysis. -
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Marksheet
Free tutorial to learn HTML and CSS
...The material emphasizes progressive mastery, encouraging learners to build small pages and refine them with better structure and style. It’s a useful reference to revisit after your first projects, reinforcing fundamentals that make larger frameworks easier to learn later. -
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MathModel
Mathematical Modeling for Graduate Students, Mathematical Modeling
MathModel is a repository dedicated to collecting and organizing resources around mathematical modeling, especially for university students preparing for modeling competitions (e.g. undergraduate and graduate levels). The content spans exemplary competition papers, algorithmic solutions, LaTeX templates, presentation slides, MATLAB tutorials, and mind maps of modeling approaches. It acts as a centralized archive where learners can access high-quality past solutions as references, borrow... -
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Project Based Learning
Curated list of project-based tutorials
project-based-learning is a community-curated open source repository that compiles programming tutorials focused on building real-world applications from scratch. It organizes resources by programming languages such as Python, Java, JavaScript, C++, Go, Rust, and many others. Each tutorial emphasizes practical, hands-on learning through project development rather than theoretical study. The collection spans various domains including web development, game programming, systems programming, and... -
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Nunu
A CLI tool for building Go applications
Nunu is a CLI scaffolding tool for building Go applications; it aggregates and encapsulates popular Go ecosystem libraries to provide a modular, high‑performance, extensible foundation, complete with documentation and test support. Nunu is a scaffolding tool for building Go applications. Its name comes from a game character in League of Legends, a little boy riding on the shoulders of a Yeti. Just like Nunu, this project stands on the shoulders of giants, as it is built upon a combination of... -
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S.U.P.E.R.M.A.N.
S.U.P.E.R.M.A.N. optimizes the macOS software update experience
super is a compact, high-performance tiling window manager for macOS that offers keyboard-driven workflow efficiency similar to tiling window managers found in Linux environments like i3 or dwm. Written in Swift, super leverages macOS APIs to allow users to manage windows in grid-like patterns, enabling rapid arrangement, resizing, and navigation without reaching for the mouse. It’s ideal for developers, power users, and keyboard-centric users who want to boost productivity within macOS’s... -
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Riley's Graphics library FrameWork
A cross platform lightweight single-header simple-to-use library
RGFW (Really Good Framework) is a lightweight, C-based windowing and input library designed to be a minimal alternative to frameworks like GLFW or SDL. It supports OpenGL context creation, input handling, and simple file dialogs while staying highly portable and dependency-free. RGFW is ideal for developers who want tight control over their environment or want to build cross-platform applications with a tiny footprint. It’s particularly suited to educational, experimental, or embedded graphics projects. -
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Lingua-Py
The most accurate natural language detection library for Python
...Other use cases, for instance, might include routing e-mails to the right geographically located customer service department, based on the e-mails' languages. Language detection is often done as part of large machine learning frameworks or natural language processing applications. In cases where you don't need the full-fledged functionality of those systems or don't want to learn the ropes of those, a small flexible library comes in handy. -
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Task Scheduler
Cooperative multitasking for Arduino, ESPx, STM32, nRF and more
Cooperative multitasking for Arduino, ESPx, STM32 and other microcontrollers. A lightweight implementation of cooperative multitasking (task scheduling). An easier alternative to preemptive programming and frameworks like FreeRTOS. You mostly do not need to worry about pitfalls of concurrent processing (races, deadlocks, livelocks, resource sharing, etc.). The fact of cooperative processing takes care of such issues by design. -
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DynamicHMC
Implementation of robust dynamic Hamiltonian Monte Carlo methods
Implementation of robust dynamic Hamiltonian Monte Carlo methods in Julia. In contrast to frameworks that utilize a directed acyclic graph to build a posterior for a Bayesian model from small components, this package requires that you code a log-density function of the posterior in Julia. Derivatives can be provided manually, or using automatic differentiation. Consequently, this package requires that the user is comfortable with the basics of the theory of Bayesian inference, to the extent of coding a (log) posterior density in Julia. ... -
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Eclipse Jetty Canonical Repository
Eclipse Jetty - Web Container & Clients - supports HTTP/2, HTTP
...Jetty is used in a wide variety of projects and products, both in development and production. Jetty has long been loved by developers due to its long history of being easily embedded in devices, tools, frameworks, application servers, and modern cloud services. With the direction of Java and the JakartaEE project (formerly JavaEE) in 2020, the current recommended version of Jetty for use depends upon the servlet api version, desired licensing, and package namespace as well as the intended Java version. -
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Highlight.js
JavaScript syntax highlighter with language auto-detection
Highlight.js is a syntax highlighter written in JavaScript. It works in the browser as well as on the server. It can work with pretty much any markup, doesn’t depend on any other frameworks, and has automatic language detection. Highlight.js supports over 180 languages in the core library. There are also 3rd party language definitions available to support even more languages. We strongly recommend <pre><code> wrapping for code blocks. It's quite semantic and "just works" out of the box with zero fiddling. It is possible to use other HTML elements (or combos), but you may need to pay special attention to preserving linebreaks. ... -
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Markdown Any Decision Records
Markdown Architectural Decision Records
...MADR is a template allowing to craft short, medium-sized, and large decision records. There is no formal definition of short, medium-sized, and large decision records. The following sections present an example in the context of assertion frameworks for Java. We start with presenting a very short and dense version: It “just” lists the context and problem statement, the available options, and the outcome. For some decisions, these bits of information could not be enough. Therfore, it is possible to “unpack” the decision. This is done in the presented longer version of the ADR. -
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go-resiliency
Resiliency patterns for golang
Resiliency patterns for golang. Based in part on Hystrix, Semian, and others. Currently implemented patterns include circuit-breaker (in the breaker directory), semaphore (in the semaphore directory), deadline/timeout (in the deadline directory), batching (in the batcher directory), retriable (in the retrier directory). I will occasionally bump the minimum required Golang version without bumping the major version of this package, which violates the official Golang packaging convention around...