Search Results for "framework" - Page 70
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Showing 12086 open source projects for "framework"
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Spark Joy
2000+ ways to add design flair, user delight, and whimsy to products
Spark Joy is a large curated collection of resources for adding visual polish, personality, and enjoyable interactions to digital products. It gathers more than 2,000 tools, examples, libraries, articles, and references rather than providing a single software package. The collection spans CSS frameworks, layouts, typography, color systems, backgrounds, icons, diagrams, illustrations, and individual interface elements. It also covers animation, onboarding, empty states, accessibility checks,... -
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Online Forever
Make Your Discord Account 24/7 Online
...It supports custom status text and the main visible status modes, including online, idle, and do not disturb. The project is small, simple, and focused on one purpose rather than being a full Discord automation framework. It can run on any platform that supports Python, which makes it accessible across common desktop and server environments. Because it automates a Discord user account, it carries clear Terms of Service and account-suspension risk. It should be treated as an unofficial selfbot-style presence tool, not as a compliant Discord bot application. -
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Danghuangshang
AI Court Building Complete Tutorial - From Zero Basics to Advanced
...The system includes memory, scheduled tasks, sandbox isolation, multi-platform access, and a web dashboard for monitoring status and usage. It is intended for users who want a practical AI agent team template rather than a low-level framework they must assemble from scratch. -
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Phantom
An AI co-worker with its own computer
Phantom is an experimental AI agent framework designed to simulate autonomous workflows with an emphasis on stealth, abstraction, and flexible execution across environments. The system likely focuses on orchestrating tasks in a way that minimizes friction between user intent and execution, allowing agents to operate with minimal direct supervision. Its architecture suggests modular components that handle planning, execution, and context management independently, enabling scalable and reusable workflows. ... -
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Ralph Orchestrator
An improved implementation of the Ralph Wiggum technique
Ralph Orchestrator is an AI workflow orchestration system designed to coordinate multiple agents, tools, and processes into structured pipelines that can execute complex tasks autonomously. It provides a framework for defining workflows where different components, such as LLMs, APIs, and custom functions, collaborate to achieve specific objectives. The system emphasizes modularity and composability, allowing developers to design workflows as reusable building blocks that can be combined or extended as needed. It supports asynchronous execution and task coordination, enabling efficient handling of multi-step processes that involve decision-making and conditional branching. ... -
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AntV Infographic
Declarative engine for generating AI-powered infographic visuals
AntV Infographic is a declarative infographic generation and rendering framework designed to transform structured data into visually rich infographic outputs. It provides a custom domain-specific language that allows developers and AI systems to describe infographic layouts in a concise and human-readable syntax. It focuses on simplifying data storytelling by enabling fast creation of professional-quality visuals without requiring complex design workflows. -
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Open SaaS
Open source SaaS boilerplate for React, NodeJS apps with Wasp stack
Open SaaS is a free and open source starter template designed to help developers quickly build and launch Software-as-a-Service applications. It is built on the Wasp full stack framework, which combines React, NodeJS, and Prisma to manage both client and server code within a unified architecture. Open SaaS provides a production-ready foundation that includes common SaaS functionality such as authentication, payments, analytics, and file uploads. Developers can use it as a boilerplate to avoid writing repetitive setup code and instead focus on building product features. ... -
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MemoryOS
MemoryOS is designed to provide a memory operating system
MemoryOS is an open-source framework designed to provide a structured memory management system for AI agents and large language model applications. The project addresses one of the major limitations of modern language models: their inability to maintain long-term context beyond the limits of their prompt window. MemoryOS introduces a hierarchical memory architecture inspired by operating system memory management principles, allowing agents to store, update, retrieve, and generate information from multiple layers of memory. ... -
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BuildingAI
Build your own AI application system for free
BuildingAI is an open-source project focused on applying artificial intelligence techniques to architectural design and building information modeling workflows. The platform aims to bridge the gap between natural language interfaces and building design tools by allowing AI systems to interpret user instructions and convert them into structured architectural operations. By combining generative AI capabilities with building data models, the system can assist with tasks such as design... -
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DocETL
A system for agentic LLM-powered data processing and ETL
...The platform allows developers and researchers to construct structured workflows that extract, transform, and organize information from sources such as reports, transcripts, legal documents, and other text-heavy data. Instead of relying on single prompts or ad-hoc scripts, DocETL provides a declarative pipeline framework that breaks complex document analysis tasks into manageable operations that can be optimized and orchestrated automatically. Pipelines are typically defined using a low-code YAML interface, giving users full control over prompts and processing steps while still simplifying workflow creation. -
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Xtuner
A Next-Generation Training Engine Built for Ultra-Large MoE Models
Xtuner is a large-scale training engine designed for efficient training and fine-tuning of modern large language models, particularly mixture-of-experts architectures. The framework focuses on enabling scalable training for extremely large models while maintaining efficiency across distributed computing environments. Unlike traditional 3D parallel training strategies, XTuner introduces optimized parallelism techniques that simplify scaling and reduce system complexity when training massive models. The engine supports training models with hundreds of billions of parameters and enables long-context training with sequence lengths reaching tens of thousands of tokens. ... -
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SCAIL
Towards Studio-Grade Character Animation via In-Context Learning of 3D
SCAIL is a project developed by the ZAI Organization, focusing on AI-driven research initiatives. 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... -
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AI Data Science Team
An AI-powered data science team of agents
AI Data Science Team is a Python library and agent ecosystem designed to accelerate and automate common data science workflows by modeling them as specialized AI “agents” that can be orchestrated to perform tasks like data cleaning, transformation, analysis, visualization, and machine learning. It provides a modular agent framework where each agent focuses on a step in the typical data science pipeline — for example, loading data from CSV/Excel files, cleaning and wrangling messy datasets, engineering predictive features, building models with AutoML, connecting to SQL databases, and producing visual outputs — all driven by natural language or programmatic instructions. ... -
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FinGPT
Open-Source Financial Large Language Models
FinGPT is an open-source, finance-specialized large language model framework that blends the capabilities of general LLMs with real-time financial data feeds, domain-specific knowledge bases, and task-oriented agents to support market analysis, research automation, and decision support. It extends traditional GPT-style models by connecting them to live or historical financial datasets, news APIs, and economic indicators so that outputs are grounded in relevant and recent market conditions rather than generic knowledge alone. ... -
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Vision Transformer Pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA
...The code is intentionally compact and modular, which makes it easy to tinker with hyperparameters, depth, width, and attention dimensions. Because it stays close to vanilla PyTorch, you can integrate custom datasets and training loops without framework lock-in. It’s widely used as an educational reference for people learning transformers in vision and as a lightweight baseline for research prototypes. The project encourages experimentation—swap optimizers, change augmentations, or plug the transformer backbone into downstream tasks. -
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Visual Blocks
Visual Blocks for ML is a Google visual programming framework
Visual Blocks is a node-based, in-browser environment for building AI and data-processing workflows with drag-and-drop components. It lets you connect sources, transforms, models, and visualizers into a live graph, so changes propagate instantly and results are observable without writing glue code. Under the hood it leans on web-friendly runtimes (e.g., WebGPU/WebGL/WebNN or TensorFlow.js backends) to execute pipelines locally, which is great for demos, teaching, and privacy-sensitive... -
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DomainBed
DomainBed is a suite to test domain generalization algorithms
DomainBed is a PyTorch-based research suite created by Facebook Research for benchmarking and evaluating domain generalization algorithms. It provides a unified framework for comparing methods that aim to train models capable of performing well across unseen domains, as introduced in the paper In Search of Lost Domain Generalization. The library includes a wide range of well-known domain generalization algorithms, from classical baselines such as Empirical Risk Minimization (ERM) and Invariant Risk Minimization (IRM) to more advanced techniques like Domain Adversarial Neural Networks (DANN), Adaptive Risk Minimization (ARM), and Invariance Principle Meets Information Bottleneck (IB-ERM/IB-IRM). ... -
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Meta Agents Research Environments (ARE)
Meta Agents Research Environments is a comprehensive platform
Meta Agents Research Environments (ARE) is a simulation and benchmarking platform. It is designed to evaluate AI agents in dynamic, evolving, multi-step tasks. Unlike static benchmarks, ARE supports environments where agents must adapt to changes over time and reason over sequences of actions. It interacts with applications and faces uncertainty. The included Gaia2 benchmark offers 800 scenarios across multiple “universes”. It can test reasoning, memory, tool use, and adaptability.... -
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MemU
MemU is an open-source memory framework for AI companions
MemU is an agentic memory layer for LLM applications, specifically designed for AI companions. Transform your memory into an intelligent file system that automatically organizes, connects, and evolves with your memories. Simple, fast, and reliable memory infrastructure for AI applications. Powerful tools and dedicated support to scale your AI applications with confidence. Full proprietary features, commercial usage rights, and white-labeling options for your enterprise needs. SSO/RBAC... -
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R1-V
Witness the aha moment of VLM with less than $3
R1-V is an initiative aimed at enhancing the generalization capabilities of Vision-Language Models (VLMs) through Reinforcement Learning in Visual Reasoning (RLVR). The project focuses on building a comprehensive framework that emphasizes algorithm enhancement, efficiency optimization, and task diversity to achieve general vision-language intelligence and visual/GUI agents. The team's long-term goal is to contribute impactful open-source research in this domain. -
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AppWorld
World of apps for benchmarking interactive coding agent
AppWorld is a framework developed by Stony Brook University's NLP group to simulate environments for training and evaluating dialogue agents in task-oriented applications. -
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JAI Workflow
Build programmatically custom agentic workflows, AI Agents, RAG system
JAI-Workflow is a framework for building and managing machine learning workflows, streamlining the process from data ingestion to model deployment. -
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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. -
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defmt
Efficient, deferred formatting for logging on embedded systems
defmt ("de format", short for "deferred formatting") is a highly efficient logging framework that targets resource-constrained devices, like microcontrollers. In its current iteration defmt mainly targets tiny embedded devices that have no means to display information to the developer, e.g. a screen. In this scenario, logs need to be transferred to a second machine, usually a PC/laptop, before they can be displayed to the developer/end-user. -
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Prompt Declaration Language
Prompt Declaration Language is a declarative prompt programming lang
...The purpose of the Prompt Declaration Language (PDL) is to allow developers to specify the structure of prompts and to enforce it, while providing a unified programming framework for composing LLMs with rule-based systems.