Showing 1279 open source projects for "mac framework"

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  • 1
    RWARE

    RWARE

    MuA multi-agent reinforcement learning environment

    robotic-warehouse is a simulation environment and framework for robotic warehouse automation, enabling research and development of AI and robotic agents to manage warehouse logistics, such as item picking and transport.
    Downloads: 0 This Week
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  • 2
    LLMCompiler

    LLMCompiler

    An LLM Compiler for Parallel Function Calling

    LLMCompiler is an open-source framework designed to optimize how large language models orchestrate multiple external tool or function calls during complex reasoning tasks. Traditional LLM agent systems typically execute tool calls sequentially, which can create latency, higher costs, and reduced reliability when solving multi-step problems. LLMCompiler addresses this limitation by applying principles from classical compilers to analyze a task and construct an execution plan that allows...
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  • 3
    Responsible AI Toolbox

    Responsible AI Toolbox

    Responsible AI Toolbox is a suite of tools providing model

    Responsible AI Toolbox is a software framework designed to help developers evaluate and improve the reliability, fairness, and transparency of machine learning systems. The project provides tools that assist in analyzing model behavior, detecting bias, improving robustness, and explaining predictions produced by AI systems. It is designed to integrate with common machine learning frameworks, especially PyTorch, allowing developers to apply responsible AI techniques within existing workflows....
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  • 4
    LlamaGen

    LlamaGen

    Autoregressive Model Beats Diffusion

    LlamaGen is an open-source research project that introduces a new approach to image generation by applying the autoregressive next-token prediction paradigm used in large language models to visual generation tasks. Instead of relying on diffusion models, the framework treats images as sequences of tokens that can be generated progressively using transformer architectures similar to those used for text generation. The project explores how scaling autoregressive models and improving image...
    Downloads: 2 This Week
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  • 5
    MEKA

    MEKA

    A Multi-label Extension to Weka

    Multi-label classifiers and evaluation procedures using the Weka machine learning framework.
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    Downloads: 239 This Week
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  • 6
    Bolt NLP

    Bolt NLP

    Bolt is a deep learning library with high performance

    Bolt is a high-performance deep learning inference framework developed by Huawei Noah's Ark Lab. It is designed to optimize and accelerate the deployment of deep learning models across various hardware platforms. Bolt is a light-weight library for deep learning. Bolt, as a universal deployment tool for all kinds of neural networks, aims to automate the deployment pipeline and achieve extreme acceleration. Bolt has been widely deployed and used in many departments of HUAWEI company, such as...
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  • 7
    imgclsmob Deep learning networks

    imgclsmob Deep learning networks

    Sandbox for training deep learning networks

    imgclsmob is a deep learning research repository focused on implementing and experimenting with convolutional neural networks for computer vision tasks. The project serves as a sandbox for training and evaluating a wide variety of neural network architectures used in image analysis. It includes implementations of models used for tasks such as image classification, object detection, semantic segmentation, and pose estimation. The repository also contains scripts that help train models,...
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  • 8
    PKU Beaver

    PKU Beaver

    Constrained Value Alignment via Safe Reinforcement Learning

    PKU Beaver is an open-source research project focused on improving the safety alignment of large language models through reinforcement learning from human feedback under explicit safety constraints. The framework introduces techniques that separate helpfulness and harmlessness signals during training, allowing models to optimize for useful responses while minimizing harmful behavior. To support this process, the project provides datasets containing human-labeled examples that encode both...
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  • 9
    HunyuanVideo-I2V

    HunyuanVideo-I2V

    A Customizable Image-to-Video Model based on HunyuanVideo

    HunyuanVideo-I2V is a customizable image-to-video generation framework developed by Tencent, extending the capabilities of HunyuanVideo. It allows for high-quality video creation from still images, using PyTorch and providing pre-trained model weights, inference code, and customizable training options. The system includes a LoRA training code for adding special effects and enhancing video realism, aiming to offer versatile and scalable solutions for generating videos from static image inputs.
    Downloads: 4 This Week
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  • 10
    OWL

    OWL

    Optimized Workforce Learning for General Multi-Agent Assistance

    Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation. OWL (Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation) is an advanced framework designed to enhance multi-agent collaboration, improving task automation across various domains. By utilizing dynamic agent interactions, OWL aims to streamline and optimize complex workflows, making AI collaboration more natural, efficient, and adaptable. It is built on...
    Downloads: 0 This Week
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  • 11
    SMILI

    SMILI

    Scientific Visualisation Made Easy

    The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with...
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    Downloads: 17 This Week
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  • 12
    ktrain

    ktrain

    ktrain is a Python library that makes deep learning AI more accessible

    ktrain is a Python library that makes deep learning and AI more accessible and easier to apply. ktrain is a lightweight wrapper for the deep learning library TensorFlow Keras (and other libraries) to help build, train, and deploy neural networks and other machine learning models. Inspired by ML framework extensions like fastai and ludwig, ktrain is designed to make deep learning and AI more accessible and easier to apply for both newcomers and experienced practitioners. With only a few lines...
    Downloads: 0 This Week
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  • 13
    UnBBayes

    UnBBayes

    Framework & GUI for Bayes Nets and other probabilistic models.

    UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports Bayesian networks, influence diagrams, MSBN, OOBN, HBN, MEBN/PR-OWL, PRM, structure, parameter and incremental learning. Please, visit our wiki (https://sourceforge.net/p/unbbayes/wiki/Home/) for more information. Check out the license section (https://sourceforge.net/p/unbbayes/wiki/License/) for our licensing policy.
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    Downloads: 8 This Week
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  • 14
    NLUX

    NLUX

    The powerful Conversational AI JavaScript Library

    NLUX, short for Natural Language User Experience, is an open-source JavaScript and React library designed to simplify the creation of conversational interfaces powered by large language models. The library provides developers with prebuilt components and utilities that make it easy to integrate chat-based AI functionality into web applications. By using NLUX, developers can connect their applications to models such as ChatGPT or other LLM providers and create interactive conversational...
    Downloads: 0 This Week
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  • 15
    CCIL
    A SOA framework for web content classification, clustering and automated interlinking of terms between documents. Will provide an expandable set of services such as semantic search, ranking, retrieval and classification of large scale web resources.
    Downloads: 0 This Week
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  • 16
    mTRF-Toolbox

    mTRF-Toolbox

    A MATLAB package for modelling multivariate stimulus-response data

    mTRF-Toolbox is a MATLAB package for modelling multivariate stimulus-response data, suitable for neurophysiological data such as MEG, EEG, sEEG, ECoG and EMG. It can be used to model the functional relationship between neuronal populations and dynamic sensory inputs such as natural scenes and sounds, or build neural decoders for reconstructing stimulus features and developing real-time applications such as brain-computer interfaces (BCIs). Toolbox Paper: ...
    Downloads: 5 This Week
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  • 17
    Corporate Bullshit Generator

    Corporate Bullshit Generator

    A high-performance random text generator focused on corporate bullshit

    The Corporate Bullshit Generator is a best-in-class, high-performance random text generator that is focused on corporate bullshit. It is able to produce, per second, 1000 A4 full pages of inspired sentences like "Our turn-key branding strategy drives corporate, scalable, wide-ranging and profit-oriented idiosyncratic incentives." Online app: visit ----> https://tinyurl.com/y3d6wyd6 . Alire crate: https://alire.ada.dev/crates/cbsg Mirror: https://github.com/zertovitch/cbsg
    Downloads: 6 This Week
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  • 18
    LaVague

    LaVague

    Framework for building AI agents that automate complex web tasks

    LaVague is an open source framework designed to help developers build AI-powered web agents capable of automating tasks across websites and web applications. It implements the concept of a Large Action Model framework, allowing agents to interpret a user-provided objective and translate it into a sequence of actions performed in a browser. These agents can navigate web pages, retrieve information, fill out forms, and execute multi-step workflows automatically. LaVague is centered around a...
    Downloads: 3 This Week
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  • 19
    YACS (Yet Another Constraint Solver) is a Java library and an object-oriented framework for constraint solvers. It supports propagating and solving of constraint satisfaction problems with finite and infinite domains (discrete values and real intervals).
    Downloads: 0 This Week
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  • 20

    FRODO 2

    Open-Source Framework for Distributed Constraint Optimization (DCOP)

    FRODO is a Java platform to solve Distributed Constraint Satisfaction Problems (DisCSPs) and Optimization Problems (DCOPs). It provides implementations for a variety of algorithms, including DPOP (and its variants), ADOPT, SynchBB, DSA...
    Downloads: 1 This Week
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  • 21
    llama2.c

    llama2.c

    Inference Llama 2 in one file of pure C

    llama2.c is a minimalist implementation of the Llama 2 language model architecture designed to run entirely in pure C. Created by Andrej Karpathy, this project offers an educational and lightweight framework for performing inference on small Llama 2 models without external dependencies. It provides a full training and inference pipeline: models can be trained in PyTorch and later executed using a concise 700-line C program (run.c). While it can technically load Meta’s official Llama 2...
    Downloads: 5 This Week
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  • 22
    MOA - Massive Online Analysis

    MOA - Massive Online Analysis

    Big Data Stream Analytics Framework.

    A framework for learning from a continuous supply of examples, a data stream. Includes classification, regression, clustering, outlier detection and recommender systems. Related to the WEKA project, also written in Java, while scaling to adaptive large scale machine learning.
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    Downloads: 156 This Week
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  • 23
    code-act

    code-act

    Official Repo for ICML 2024 paper

    code-act is a research framework for building intelligent language-model agents that interact with their environment through executable code actions. The system proposes a unified action representation where language models produce Python code that can be executed directly, allowing the model to interact with external tools and environments in a structured way. By integrating a Python interpreter with the agent architecture, the system enables the agent to execute code, observe the results,...
    Downloads: 0 This Week
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  • 24

    EGO AGI

    An inside-out cognitive engine based on autopoiesis and set theory

    The Environment Generative Operator (EGO) is an AGI engine designed to create individuals capable of autonomous cognitive processes, based on the inside-out perspective of modern neuroscience. Their primary goal is survival – maintaining homeostatic equilibrium over time, which defines the system's operational framework. This approach aligns with autopoiesis, where a self-organizing system's cognitions consist of operations aimed at maintaining its own organization in response to...
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  • 25
    MentDB Projects

    MentDB Projects

    Generalized Interoperability and Strong AI

    MentDB is an open-source platform driving research into next-generation AI and universal data exchange. Our architecture is built around the revolutionary Mentalese Query Language (MQL). MentDB Weak (Generalized Interoperability): A unified data layer enabling seamless data exchange and application integration (SOA, ETL, Data Quality). We eliminate data silos through a single, generalized data language. MentDB Strong (Strong AI / AGI): The framework for exploring and building Machine...
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