Showing 12087 open source projects for "framework"

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  • 1
    Koila

    Koila

    Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code

    Koila is a lightweight Python library designed to help developers avoid memory errors when training deep learning models with PyTorch. The library introduces a lazy evaluation mechanism that delays computation until it is actually required, allowing the framework to better estimate the memory requirements of a model before execution. By building a computational graph first and executing operations only when necessary, koila reduces the risk of running out of GPU memory during the forward pass of neural network training. This approach enables developers to experiment with larger batch sizes and more complex architectures while maintaining stable training behavior. ...
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  • 2
    LLaMA-Mesh

    LLaMA-Mesh

    Unifying 3D Mesh Generation with Language Models

    LLaMA-Mesh is a research framework that extends large language models so they can understand and generate 3D mesh data alongside text. The system introduces a method for representing 3D meshes in a textual format by encoding vertex coordinates and face definitions as sequences that can be processed by a language model. By serializing 3D geometry into text tokens, the approach allows existing transformer architectures to generate and interpret 3D models without requiring specialized visual tokenizers. ...
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  • 3
    Open Semantic Search

    Open Semantic Search

    Open source semantic search and text analytics for large document sets

    ...It provides an integrated search server combined with a document processing pipeline that supports crawling, text extraction, and automated analysis of content from many different sources. Open Semantic Search includes an ETL framework that can ingest documents, process them through analysis steps, and enrich the data with extracted information such as named entities and metadata. It also supports optical character recognition to extract text from images and scanned documents, including images embedded inside PDF files. It integrates text mining and analytics capabilities that allow users to examine relationships, topics, and structured data within document collections.
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  • 4
    Pal

    Pal

    A personal context-agent that learns how you work

    Pal is an open-source AI personal agent built within the Agno ecosystem that functions as an intelligent digital assistant designed to learn from user activity over time. The system acts as an AI-powered “second brain” capable of capturing, organizing, and retrieving personal knowledge such as notes, bookmarks, research findings, people, and meeting information. Instead of acting as a simple chatbot, Pal continuously builds a structured database of a user’s knowledge and context so it can...
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  • 5
    PMXT

    PMXT

    A unified API for trading across prediction markets

    ...Inspired by CCXT for cryptocurrency exchanges, PMXT standardizes market data, trading operations, and event structures for platforms like Polymarket, Kalshi, Limitless, Smarkets, and more. The framework simplifies working with prediction markets by normalizing differences in APIs, formats, and conventions across providers. PMXT supports both Python and TypeScript SDKs, making it easy for developers to build trading bots, analytics tools, and AI-powered market applications. It also includes MCP support for AI agents, enabling integration with tools like Claude, Cursor, and other MCP-compatible environments. ...
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  • 6
    GLM-TTS

    GLM-TTS

    Controllable & emotion-expressive zero-shot TTS

    ...It uses a two-stage architecture where a generative LLM first converts text into intermediate speech token sequences and then a Flow-based neural model converts those tokens into natural audio waveforms, enabling rich prosody and voice character even for unseen speakers. The system introduces a multi-reward reinforcement learning framework that jointly optimizes for voice similarity, emotional expressiveness, pronunciation, and intelligibility, yielding output that can rival commercial options in naturalness and expressiveness. GLM-TTS also supports phoneme-level control and hybrid text + phoneme input, giving developers precise control over pronunciation critical for multilingual or polyphone­-rich languages.
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  • 7
    OpenFL

    OpenFL

    Open source library for creative expression on the web, desktop, etc.

    OpenFL is a free and open-source, cross-platform software framework that empowers developers to create rich interactive applications and games using a single codebase that can run on web browsers, mobile devices, desktops, and even some consoles. It builds on the Haxe programming language and offers a familiar display list and event-driven API inspired by classic Adobe Flash and AIR, allowing developers to leverage well-known paradigms while targeting modern platforms.
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  • 8
    USO

    USO

    Open-sourced unified customization model

    USO is ByteDance’s “Unified Style and Subject-Driven Generation” framework, open-sourced to allow customization in generative modeling by disentangling style and subject representation and using reward learning to guide generation. The system is designed such that users can control both “what” is generated (the subject: e.g. a person, object, scene) and “how” it is generated (the style: artistic style, color palette, aesthetic) separately, giving much more flexibility than conventional monolithic generative models. ...
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  • 9
    openctp

    openctp

    Provides CTP stock options and Zhongtai Securities XTP

    openctp is a technical service platform built around the CTP trading ecosystem that provides CTP compatible interfaces for a wide range of brokerage backends and markets. Its core idea is to wrap heterogeneous stock and derivatives trading gateways such as Zhongtai XTP, Huaxin Qidian TORA, and others with CTPAPI compatible interfaces, so existing CTP programs can connect simply by swapping dynamic libraries rather than rewriting code. The project offers a comprehensive simulation environment...
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  • 10
    IMS Toucan

    IMS Toucan

    Controllable and fast Text-to-Speech for over 7000 languages

    IMS-Toucan is a toolkit for training, using, and teaching state-of-the-art text-to-speech systems, built at the Institute for Natural Language Processing (IMS), University of Stuttgart. It is the official home of ToucanTTS, a massively multilingual TTS system designed to support over 7,000 languages with a single unified framework. The toolkit focuses on being fast and controllable while not requiring huge amounts of compute, making it practical for research labs and smaller teams. It includes complete pipelines for preprocessing datasets, training models, and running inference, plus a storage configuration system to manage where models and caches are stored. ...
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  • 11
    Learn Regex The Easy Way

    Learn Regex The Easy Way

    Learn regex the easy way

    Learn Regex The Easy Way is a hands-on, interactive resource for learning regular expressions (regex) in a step-by-step, incremental way. Rather than just being a reference sheet, it is designed to help you build understanding gradually: you start with the basics like literal matching, then advance through character classes, quantifiers, groups, alternation, lookaheads/lookbehinds, and more advanced regex features. Each lesson is accompanied by examples and clear explanations, so learners...
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  • 12
    Blik

    Blik

    Self hosted & open source anonymous 360 review software

    ...It allows organizations to run review cycles where employees get anonymous feedback from peers, managers, and direct reports, without vendor lock-in or per-user licensing costs. The system is built using the Django framework, with a PostgreSQL backend, and is packaged for easy deployment via Docker Compose, making it accessible for small teams or startups to spin up on their own infrastructure. One of the core design choices is true anonymity: reviewers use token-based links rather than user accounts, and the architecture is designed so that even administrators cannot trace responses back to individuals under normal operation.
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  • 13
    GenAI Agents

    GenAI Agents

    Implementations for various Generative AI Agent techniques

    ...The implementations leverage modern frameworks such as LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, and more, showing how each can be wired into realistic agent workflows. The repo is structured by categories like beginner agents, framework tutorials, educational agents, business agents, creative agents, analysis agents, news bots, shopping assistants, task management agents, QA bots, and advanced systems such as controllable RAG agents. For each agent, you typically get an overview, implementation notes, and external resources (blog posts, videos, documentation) to deepen understanding.
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  • 14
    Go Backend Clean Architecture

    Go Backend Clean Architecture

    A Go (Golang) Backend Clean Architecture project with Gin, MongoDB

    This repository is a production-minded Go backend starter that applies Clean Architecture to keep business logic independent from frameworks, databases, and delivery mechanisms. It organizes code into layers—domain, use cases, interfaces/adapters—so swapping an HTTP framework or database does not ripple through core logic. The template includes well-chosen scaffolding for configuration, logging, dependency injection, error handling, and request validation so teams can focus on business features. It demonstrates practical patterns for repository interfaces, DTOs, and consistent response envelopes that keep APIs predictable. ...
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  • 15
    Agentex

    Agentex

    Open source codebase for Scale Agentex

    AgentEX is an open framework from Scale for building, running, and evaluating agentic workflows, with an emphasis on reproducibility and measurable outcomes rather than ad-hoc demos. It treats an “agent” as a composition of a policy (the LLM), tools, memory, and an execution runtime so you can test the whole loop, not just prompting. The repo focuses on structured experiments: standardized tasks, canonical tool interfaces, and logs that make it possible to compare models, prompts, and tool sets fairly. ...
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  • 16
    AWS Chalice

    AWS Chalice

    Python Serverless Microframework for AWS

    ...You define routes, event handlers, and background tasks in plain Python, and Chalice turns them into AWS Lambda functions wired to API Gateway, Amazon EventBridge schedulers, S3/SNS/SQS triggers, and more. A single command builds your app, bundles dependencies, generates infrastructure templates, and deploys to your account with sensible defaults. The framework includes local development tools so you can iterate on HTTP routes and inspect logs before shipping to the cloud. It also manages per-stage configuration, environment variables, IAM permissions scaffolding, and packaging optimizations to keep cold starts small. While it’s intentionally lightweight, it supports common production needs like CORS, custom authorizers, binary responses, and fine-grained IAM so you can grow from prototype to production without rewriting your stack.
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  • 17
    vJEPA-2

    vJEPA-2

    PyTorch code and models for VJEPA2 self-supervised learning from video

    VJEPA2 is a next-generation self-supervised learning framework for video that extends the “predict in representation space” idea from i-JEPA to the temporal domain. Instead of reconstructing pixels, it predicts the missing high-level embeddings of masked space-time regions using a context encoder and a slowly updated target encoder. This objective encourages the model to learn semantics, motion, and long-range structure without the shortcuts that pixel-level losses can invite. ...
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  • 18
    OpenAI Swarm

    OpenAI Swarm

    Educational framework exploring multi-agent orchestration

    Swarm focuses on making agent coordination and execution lightweight, highly controllable, and easily testable. It accomplishes this through two primitive abstractions; Agents and handoffs. An Agent encompasses instructions and tools, and can at any point choose to hand off a conversation to another Agent. These primitives are powerful enough to express rich dynamics between tools and networks of agents, allowing you to build scalable, real-world solutions while avoiding a steep learning...
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  • 19
    Cutelyst

    Cutelyst

    Web Framework built on top of Qt, using the approach of Catalyst

    Create fast and modern web applications that share the same code as your desktop or mobile apps. Why have two or more development teams focused on a specific platform when you can have a single team coding the same code, sharing skills and lines of code. With Qt, you already can write applications for Windows, Linux, Android, MacOS, and iOS using the same source code, Cutelyst allows you to share your C++ code with your web application. Cutelyst has a WSGI server that supports HTTP/1.1,...
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  • 20
    NullAway

    NullAway

    A tool to help eliminate NullPointerExceptions (NPEs) in your code

    ...Given these annotations, NullAway performs a series of type-based, local checks to ensure that any pointer that gets dereferenced in your code cannot be null. NullAway is similar to the type-based nullability checking in the Kotlin and Swift languages, and the Checker Framework and Eradicate null checkers for Java. NullAway is fast. It is built as a plugin to Error Prone and can run on every single build of your code. In our measurements, the build-time overhead of running NullAway is usually less than 10%. NullAway is also practical: it does not prevent all possible NPEs in your code, but it catches most of the NPEs we have observed in production while imposing a reasonable annotation burden, giving a great "bang for your buck."
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  • 21
    Cofoundry

    Cofoundry

    Cofoundry is an extensible and flexible .NET Core CMS

    ...Get back to writing regular .NET code you love and enjoy complete freedom with your front-end technology and designs. We understand that every application is different. Cofoundry is an adaptable framework that let's you swap in your preferred tools and scale up your architecture when you need it. DI is at the heart of Cofoundry which makes it really easy to override any implementation. Plugins are easily installed via Nuget, but it’s also simple to inject your own custom implementation. CMS administration interfaces are often built to serve both developers and content editors which leads them to be complicated and full of jargon.
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  • 22
    HugeGraph

    HugeGraph

    A graph database that supports more than 100+ billion data

    HugeGraph is a convenient, efficient, and adaptable graph database compatible with the Apache TinkerPop3 framework and the Gremlin query language. HugeGraph supports fast import performance in the case of more than 10 billion Vertices and Edges Graph, millisecond-level OLTP query capability, and can be integrated into big data platforms like Hadoop or Spark for OLAP analysis. The main scenarios of HugeGraph include correlation search, fraud detection, and knowledge graph.
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  • 23
    Brighter

    Brighter

    A framework for building messaging apps with .NET and C#

    This project is a Command Processor & Dispatcher implementation with support for task queues that can be used as a lightweight library. It can be used for implementing Ports and Adapters and CQRS (PDF) architectural styles in .NET. It can also be used in microservices architectures for decoupled communication between the services. Brighter supports Task Queues. As such it can be used to improve performance by introducing concurrency using a queue, and/or as an integration strategy between...
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  • 24
    AWS Amplify

    AWS Amplify

    A declarative JavaScript library for application development

    ...The Amplify JavaScript libraries are supported for different web and mobile frameworks including React, React Native, Angular, Ionic, and Vue. It is recommended that you first complete the Getting Started guide for Amplify JavaScript. The Amplify Framework uses Amazon Cognito as the main authentication provider. Amazon Cognito is a robust user directory service that handles user registration, authentication, account recovery & other operations.
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  • 25
    Formik

    Formik

    Build forms in React

    ...This means you spend less time wiring up state and change handlers and more time focusing on your business logic. No fancy subscriptions or observables under the hood, just plain React state and props. By staying within the core React framework and away from magic, Formik makes debugging, testing, and reasoning about your forms a breeze. If you know React, and you know a bit about forms, you know Formik! Since form state is inherently local and ephemeral, Formik does not use external state management libraries like Redux or MobX. This also makes Formik easy to adopt incrementally and keeps bundle size to a minimum.
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