Search Results for "ofn-layer-modes" - Page 6

Showing 418 open source projects for "ofn-layer-modes"

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  • 1
    Sygil WebUI

    Sygil WebUI

    Stable Diffusion web UI

    Sygil WebUI is a browser-based interface for running Stable Diffusion image generation locally or on a server, wrapping common text-to-image and image-to-image workflows into a practical UI. It provides multiple UI modes (including a legacy Gradio interface) and focuses on making iterative prompting, parameter tuning, and post-processing accessible without writing code. The UI exposes core generation controls like resolution, CFG guidance, sampling steps, samplers, seeds, and batch generation so users can reproduce results and refine outputs systematically. ...
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  • 2
    Stable Diffusion WebUI Docker

    Stable Diffusion WebUI Docker

    Easy Docker setup for Stable Diffusion with user-friendly UI

    Stable Diffusion WebUI Docker is a Docker-based repository that simplifies running Stable Diffusion with rich user interfaces by packaging multiple popular web UIs into an easy-to-deploy containerized solution. It integrates leading community UIs like AUTOMATIC1111 and ComfyUI into a Docker Compose setup that can be started with a single command, abstracting away dependency installation and environment configuration. Users can choose which UI profile they want to run — for example, full...
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  • 3
    Unsloth-MLX

    Unsloth-MLX

    Bringing the Unsloth experience to Mac users via Apple's MLX framework

    Unsloth-MLX offers developers the power of Unsloth’s efficient large language model fine-tuning experience on Apple Silicon Macs by wrapping Apple’s native MLX framework with an API fully compatible with Unsloth workflows. This project removes traditional barriers that prevent Mac users from prototyping and experimenting with LLM training locally by allowing the same code used in cloud GPU environments to run on M-series hardware, improving workflow continuity and reducing iteration costs....
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  • 4
    StreamSpeech

    StreamSpeech

    StreamSpeech is a seamless model for offline speech recognition

    StreamSpeech is an “all-in-one” speech model designed to perform offline and simultaneous speech recognition, speech translation, and speech synthesis within a single unified architecture. Developed as part of an ACL 2024 paper, it targets streaming and low-latency scenarios where intermediate results and final translations or synthetic speech must be produced continuously as audio is being received. The model supports eight tasks: offline ASR, speech-to-text translation, speech-to-speech...
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  • 5
    agentic-stack

    agentic-stack

    One brain, many harnesses. Portable .agent/ folder

    ...It may include abstractions for memory, planning, and tool usage, reflecting modern agentic AI design patterns. The stack is intended to accelerate development by providing reusable building blocks for complex AI systems. Overall, it represents an infrastructure layer for creating autonomous or semi-autonomous AI applications.
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  • 6
    Hyperledger Cello

    Hyperledger Cello

    Operating System for Enterprise Blockchain

    Hyperledger Cello is a blockchain operation and provisioning system designed to automate the deployment, management, and scaling of Hyperledger Fabric networks. As part of the Hyperledger project under the Linux Foundation, Cello aims to offer Blockchain-as-a-Service (BaaS) by abstracting the complexity of infrastructure setup for consortiums and enterprises. It provides a dashboard, APIs, and orchestration tools to help users create, monitor, and manage blockchain nodes, ledgers, and...
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  • 7
    MiniMax-MCP

    MiniMax-MCP

    Official MiniMax Model Context Protocol (MCP) server

    ...The README carefully explains region-specific API hosts for global and mainland users to avoid invalid-key errors, and documents both local stdio transport and SSE-based network transport modes.
    Downloads: 1 This Week
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  • 8
    Toapi

    Toapi

    Convert websites into structured APIs automatically with Python tool

    ...Instead of building a traditional web crawler that collects and stores data before exposing it through an API, Toapi simplifies the process by allowing developers to define data structures that automatically generate an API layer from existing web pages. It works by parsing HTML content from a source site and mapping selected elements into structured data that can be returned as JSON through API endpoints. Developers define items and routes that determine how web pages are parsed and how the resulting data is exposed through the API interface. It also includes mechanisms for caching both page content and API requests, helping reduce repeated network calls and improving performance. ...
    Downloads: 1 This Week
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  • 9
    OpenOutreach

    OpenOutreach

    Linkedin Automation Tool

    ...The system generates search queries, evaluates candidate profiles, and learns over time which contacts best match the ideal customer profile. According to the repository, it combines large language model classification with a Bayesian machine learning layer based on profile embeddings, which helps it shift from broad exploration to more confident qualification as it gathers more decisions. It is designed to automate personalized outreach as well, including connection requests and follow-up messaging, while keeping deployment under the user’s control through a local or self-hosted setup.
    Downloads: 1 This Week
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  • 10
    NVIDIA Isaac GR00T

    NVIDIA Isaac GR00T

    NVIDIA Isaac GR00T N1.5 is the world's first open foundation model

    ...The vision-language model remains frozen during both pretraining and finetuning, preserving language understanding and improving generalization. Streamlined MLP connection between vision encoder and LLM with added layer normalization.
    Downloads: 1 This Week
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  • 11
    OPAL

    OPAL

    Policy and data administration, distribution, and real-time updates

    OPAL is an open-source administration layer for keeping authorization policies and authorization data synchronized in real time. It works with policy engines such as OPA and Cedar so applications can make decisions using current policy and data without constantly rebuilding custom sync logic. The project aggregates policy and data from external sources, watches for changes, and distributes updates to connected policy agents.
    Downloads: 0 This Week
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  • 12
    paqctl

    paqctl

    Unified proxy manager for bypassing firewalls

    ...The project focuses on making complex proxy infrastructure easier to install and operate from a single shell-based interface. It is best understood as an automation layer for users who already need managed proxy connectivity between a local machine and a remote server.
    Downloads: 0 This Week
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  • 13
    LinkdAPI Python

    LinkdAPI Python

    Powerful, lightweight B2B Data API for enriching professional profiles

    LinkdAPI Python is a software development kit designed to simplify integration with the LinkdAPI platform, enabling developers to connect applications with external services through a unified API layer. It provides structured tools, libraries, and documentation that streamline authentication, request handling, and data exchange between systems. The SDK is built to reduce the complexity of working with multiple APIs by offering standardized methods for interacting with different endpoints. It supports rapid development by abstracting low-level implementation details, allowing developers to focus on building features rather than managing connectivity. ...
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  • 14
    SoniTranslate

    SoniTranslate

    Synchronized Translation for Videos

    ...The project supports a wide range of languages for translation, spanning major world languages (English, Spanish, French, German, Chinese, Arabic, etc.) and many regional or less widely spoken languages, making it suitable for broad internationalization. It offers multiple usage modes, including a Colab notebook for cloud-based experimentation, a Hugging Face Space demo for quick trials, and instructions.
    Downloads: 28 This Week
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  • 15
    MemU

    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.
    Downloads: 0 This Week
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  • 16
    x-transformers

    x-transformers

    A simple but complete full-attention transformer

    A simple but complete full-attention transformer with a set of promising experimental features from various papers. Proposes adding learned memory key/values prior to attending. They were able to remove feedforwards altogether and attain a similar performance to the original transformers. I have found that keeping the feedforwards and adding the memory key/values leads to even better performance. Proposes adding learned tokens, akin to CLS tokens, named memory tokens, that is passed through...
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  • 17
    promptmap2

    promptmap2

    A security scanner for custom LLM applications

    promptmap is an automated security scanner for custom LLM applications that focuses on prompt injection and related attack classes. The project supports both white-box and black-box testing, which means it can either run tests directly against a known model and system prompt configuration or attack an external HTTP endpoint without internal access. Its scanning workflow uses a dual-LLM architecture in which one model acts as the target being tested and another acts as a controller that...
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  • 18
    AutoAgent

    AutoAgent

    AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework

    AutoAgent is a fully automated, zero-code LLM agent framework that lets users create agents and workflows using natural language instead of manual coding and configuration. It is structured around modes that cover both “use” and “build” scenarios: a user mode for running a ready-made multi-agent research assistant, plus editors for creating individual agents or multi-agent workflows from conversational requirements. The framework emphasizes self-managing workflow generation, where it can infer steps, refine them, and adapt plans even when users cannot fully specify implementation details up front. ...
    Downloads: 0 This Week
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  • 19
    AV1 AVIF

    AV1 AVIF

    AV1 Image File Format Specification - ISO-BMFF/HEIF derivative

    AV1 AVIF is the official specification and reference design for the AV1 Image File Format (AVIF), defining how AV1-encoded bitstreams are packaged into the HEIF container format (based on ISOBMFF) to produce AVIF files. The project outlines the syntax and semantics required for AVIF compliance, including support for multiple image profiles, color depths, chroma subsampling modes, HDR/WCG, alpha channels, animation/image sequences, and various color-space/bit-depth combinations — making AVIF a versatile, modern image format suitable for both simple photos and advanced imagery needing high fidelity. The specification ensures interoperability across encoders and decoders, providing guidelines so that images created by any compliant AVIF encoder can be reliably decoded by compliant decoders. ...
    Downloads: 2 This Week
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  • 20
    Claude Codex Settings

    Claude Codex Settings

    My personal Claude Code and OpenAI Codex setup

    ...It is particularly useful for users who want to standardize their workflows and reduce variability in results. Overall, Claude Codex Settings acts as a configuration layer that enhances the effectiveness of AI coding tools.
    Downloads: 0 This Week
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  • 21
    LoLLMs Hub Fortress

    LoLLMs Hub Fortress

    A proxy server for multiple ollama instances with Key security

    LoLLMs Hub Fortress is a high-performance AI orchestration platform designed to unify multiple large language model backends into a single, secure, and scalable API layer. It acts as a central gateway that connects different inference engines such as Ollama, llama.cpp, vLLM, and OpenAI-compatible services, allowing them to function as interchangeable compute nodes within one system. The architecture is built around a hierarchical “master and slave” hub model, enabling distributed deployments where multiple machines or clusters can be managed through a single entry point. ...
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  • 22
    Bindu

    Bindu

    Bindu: Turn any AI agent into a living microservice

    Bindu is an open-source infrastructure layer that transforms any AI agent into a production-ready microservice capable of interacting, communicating, and transacting within a broader network of agents. It abstracts away the complexity of deployment, authentication, communication protocols, and payment systems by allowing developers to “bindufy” an agent with minimal configuration.
    Downloads: 0 This Week
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  • 23
    AndroidNativeEmu

    AndroidNativeEmu

    Allows you to partly emulate an Android native library

    AndroidNativeEmu is a Python-based framework designed to partially emulate Android native libraries, enabling developers and researchers to analyze and execute native code outside of a full Android environment. Instead of emulating an entire operating system, it focuses specifically on the native layer, allowing for targeted testing and reverse engineering of shared libraries (.so files). This makes it particularly useful in security research, malware analysis, and debugging of Android applications. The framework provides tools for loading binaries, simulating system calls, and interacting with native functions in a controlled environment. ...
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  • 24
    Desloppify

    Desloppify

    Agent harness to make your slop code well-engineered and beautiful

    ...It may also support integration into pipelines, allowing automatic post-processing of outputs. The project reflects a growing need to manage and optimize AI-generated content rather than simply produce it. Overall, desloppify acts as a refinement layer that enhances clarity and usability of textual outputs.
    Downloads: 0 This Week
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  • 25
    Text Embeddings Inference

    Text Embeddings Inference

    High-performance inference server for text embeddings models API layer

    Text Embeddings Inference is a high-performance server designed to serve text embedding models efficiently in production environments. It focuses on delivering fast and scalable embedding generation by leveraging optimized inference techniques and modern hardware acceleration. It is built to support transformer-based embedding models, making it suitable for tasks such as semantic search, clustering, and retrieval-augmented systems. It provides an API interface that allows developers to...
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