Showing 2658 open source projects for "open source kms"

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  • 1

    Astrape

    Optical-packet node transceiver frequency allocation

    In an optical network scenario which consists of multiple nodes (whiteboxes) at its edges and ROADMs in-between, the coherent transceiver average laser configuration time is improved. The process is evaluated according to a testbed setup. This is facilitated in the appropriate lab equipment (or via simulation when required). For that purpose, a software agent (Netconf server) residing at the whiteboxes, is developed receiving input from the Software-Defined Networking (SDN) packet...
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  • 2
    SpeakLogPSU
    SpeakLogPSU can speak chat messages with an individual voice if the NPC or player was configured or with a default one. You will never miss if someone talks to you. Voice cloning can be accomplished with Coqui in less than five minutes without GPU. The result is archived and can be used the next time in game. Some TTS projects already started to add tag support to speak text with emotions or sing it. If a game designer has that in mind with a good chat log she can voiced her...
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  • 3
    Mice MX OS speech to text Voice Control

    Mice MX OS speech to text Voice Control

    Mice speech to text with MX Cinnamon OS ISO

    Note about this image This image contains a system based on Linux MX, which was created to improve accessibility within the Linux environment. The distribution uses the Cinnamon desktop interface, which is configured to be operated using voice commands and outputs. The user interface and the control of your own devices and home automation systems can be customized and extended. The voice control program MiceStTM.py was developed to enable easy adaptation to other languages. However, only...
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  • 4
    Improved Diffusion

    Improved Diffusion

    Release for Improved Denoising Diffusion Probabilistic Models

    improved-diffusion is an open source implementation of diffusion probabilistic models created by OpenAI. These models, also known as score-based generative models, are a class of generative models that have shown strong performance in producing high-quality synthetic data such as images. The repository provides code for training and sampling diffusion models with improved techniques that enhance stability, efficiency, and output fidelity.
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  • 5
    Ainee

    Ainee

    Ainee - AI Notetaking and Learning Companion

    Ainee is your ultimate AI-powered notetaking and learning companion. Capture lecture notes in real-time and effortlessly transform audio, text, files, and YouTube videos into formatted notes, mindmaps, quizzes, flashcards, podcasts, and more. Explore our AI meeting note taker, AI notes, video transcript generator, PDF to AI converter, and AI flashcard maker. Enhance your learning with our AI voice recorder, article summarizer AI, and AI quiz generator. Additionally, share your knowledge...
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  • 6
    Uranie

    Uranie

    Uranie is CEA's uncertainty analysis platform, based on ROOT

    Uranie is a sensitivity and uncertainty analysis plateform based on the ROOT framework (http://root.cern.ch) . It is developed at CEA, the French Atomic Energy Commission (http://www.cea.fr). It provides various tools for: - data analysis - sampling - statistical modeling - optimisation - sensitivity analysis - uncertainty analysis - running code on high performance computers - etc. Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python. Is is...
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  • 7

    Pytente

    Uma Ferramenta Computacional para Análise e Recuperação de Patentes

    O Pytente é uma solução avançada para automatizar o processo de coleta, armazenamento e tratamento de dados bibliográficos de patentes. A ferramenta foi projetada para simplificar a coleta de grandes volumes de dados em repositórios de acesso aberto. O Pytente garante o armazenamento estruturado das informações, além da validação e eliminação de registros duplicados. Dentre as diversas funcionalidades disponibilizadas pela ferramenta, destacam-se a extração personalizada de subconjuntos de...
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  • 8
    DeiT (Data-efficient Image Transformers)
    DeiT (Data-efficient Image Transformers) shows that Vision Transformers can be trained competitively on ImageNet-1k without external data by using strong training recipes and knowledge distillation. Its key idea is a specialized distillation strategy—including a learnable “distillation token”—that lets a transformer learn effectively from a CNN or transformer teacher on modest-scale datasets. The project provides compact ViT variants (Tiny/Small/Base) that achieve excellent...
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  • 9
    Email to Event - ETE

    Email to Event - ETE

    The python App/Skrypt automaticly add important events into calendar.

    It is use AI running localy and model you can choose. Skrypt have a tool for automatic add to scheduler. It now not working with Microsoft outlook and Google gmail, for certifications and API polici reasons . Fuly tested on Seznam.cz* services, if you have difrent provier with same type of security it will be working. *Email is using standart IMAP, Calendar use iCalendar API and authentification method. Fast setup: 1. Download and unpack 2. Install LM studio - recomended for GPU...
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  • 10
    OWL

    OWL

    Optimized Workforce Learning for General Multi-Agent Assistance

    ...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 the CAMEL-AI Framework and stands as a leader in open-source solutions for task automation.
    Downloads: 0 This Week
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  • 11
    Hiera

    Hiera

    A fast, powerful, and simple hierarchical vision transformer

    ...Security and contribution guidelines follow Meta’s open-source practices, and activity shows ongoing interest and usage across the community.
    Downloads: 4 This Week
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  • 12
    StyleTTS 2

    StyleTTS 2

    Towards Human-Level Text-to-Speech through Style Diffusion

    StyleTTS2 is a state-of-the-art text-to-speech system that aims for human-level naturalness by combining style diffusion, adversarial training, and large speech language models. It extends the original StyleTTS idea by introducing a style diffusion model that can sample rich, realistic speaking styles conditioned on reference speech, allowing highly expressive and diverse prosody. The architecture uses a two-stage training process and leverages an auxiliary speech language model to guide...
    Downloads: 2 This Week
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  • 13
    SecurePose

    SecurePose

    Automated Face Blurring, Kinematics Extraction and Leg dystonia Dx

    SecurePose, an open-source software, automates face blurring, human movement kinematics extraction and leg Dystonia diagnosis. The software provides clinical-grade face blurring with minimal manual effort. It was validated on videos recorded in clinical settings. The tool employs pose estimation to track and uniquely identify individuals, recognize patients, perform effective face blurring, and identify leg dystonia.
    Downloads: 0 This Week
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  • 14
    AutoGPTQ

    AutoGPTQ

    An easy-to-use LLMs quantization package with user-friendly apis

    AutoGPTQ is an implementation of GPTQ (Quantized GPT) that optimizes large language models (LLMs) for faster inference by reducing their computational footprint while maintaining accuracy.
    Downloads: 2 This Week
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  • 15
    VectorDB

    VectorDB

    A Python vector database you just need, no more, no less

    vectordb is a Pythonic vector database offers a comprehensive suite of CRUD (Create, Read, Update, Delete) operations and robust scalability options, including sharding and replication. It's readily deployable in a variety of environments, from local to on-premise and cloud. vectordb delivers exactly what you need - no more, no less. It's a testament to effective Pythonic design without over-engineering, making it a lean yet powerful solution for all your needs. vectordb capitalizes on the...
    Downloads: 1 This Week
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  • 16
    Python Crypto Bot

    Python Crypto Bot

    Python Crypto Bot (PyCryptoBot)

    Python Crypto Bot (PyCryptoBot).
    Downloads: 0 This Week
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  • 17
    snorkel

    snorkel

    A system for quickly generating training data with weak supervision

    The Snorkel team is now focusing their efforts on Snorkel Flow, an end-to-end AI application development platform based on the core ideas behind Snorkel. The Snorkel project started at Stanford in 2016 with a simple technical bet: that it would increasingly be the training data, not the models, algorithms, or infrastructure, that decided whether a machine learning project succeeded or failed. Given this premise, we set out to explore the radical idea that you could bring mathematical and...
    Downloads: 3 This Week
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  • 18
    Automated Interpretability

    Automated Interpretability

    Code for Language models can explain neurons in language models paper

    The automated-interpretability repository implements tools and pipelines for automatically generating, simulating, and scoring explanations of neuron (or latent feature) behavior in neural networks. Instead of relying purely on manual, ad hoc interpretability probing, this repo aims to scale interpretability by using algorithmic methods that produce candidate explanations and assess their quality. It includes a “neuron explainer” component that, given a target neuron or latent feature,...
    Downloads: 0 This Week
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  • 19
    State of Open Source AI

    State of Open Source AI

    Clarity in the current fast-paced mess of Open Source innovation

    This repository is the source for a book (or large written work) titled “The State of Open Source AI”. The goal of the project is to bring clarity to the rapidly evolving open-source AI ecosystem by documenting trends, models, tools, standards, deployment practices, and challenges. It acts as both a snapshot and a guide: readers can see what’s “hot now” in open AI infrastructure, what open licensing or governance issues are emerging, how deployment options compare, and what gaps remain. ...
    Downloads: 0 This Week
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  • 20
    Foolbox

    Foolbox

    Python toolbox to create adversarial examples

    Foolbox: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX. Foolbox 3 is built on top of EagerPy and runs natively in PyTorch, TensorFlow, and JAX. Foolbox provides a large collection of state-of-the-art gradient-based and decision-based adversarial attacks. Catch bugs before running your code thanks to extensive type annotations in Foolbox. Foolbox is a Python library that lets you easily run adversarial attacks against machine...
    Downloads: 0 This Week
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  • 21
    AmpliGraph

    AmpliGraph

    Python library for Representation Learning on Knowledge Graphs

    Open source library based on TensorFlow that predicts links between concepts in a knowledge graph. AmpliGraph is a suite of neural machine learning models for relational Learning, a branch of machine learning that deals with supervised learning on knowledge graphs.
    Downloads: 0 This Week
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  • 22
    Bard API

    Bard API

    The unofficial python package that returns response of Google Bard

    The Python package returns a response of Google Bard through the value of the cookie. This package is designed for application to the Python package ExceptNotifier and Co-Coder. Please note that the bardapi is not a free service, but rather a tool provided to assist developers with testing certain functionalities due to the delayed development and release of Google Bard's API. It has been designed with a lightweight structure that can easily adapt to the emergence of an official API....
    Downloads: 2 This Week
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  • 23
    Xfl

    Xfl

    An Efficient and Easy-to-use Federated Learning Framework

    XFL is a lightweight, high-performance federated learning framework supporting both horizontal and vertical FL. It integrates homomorphic encryption, DP, secure MPC, and optimizes network resilience. Compatible with major ML libraries and deployable via Docker or Conda.
    Downloads: 0 This Week
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  • 24
    MuJoCo MPC

    MuJoCo MPC

    Real-time behaviour synthesis with MuJoCo, using Predictive Control

    MuJoCo MPC (MJPC) is an advanced interactive framework for real-time model predictive control (MPC) built on top of the MuJoCo physics engine, developed by Google DeepMind. It allows researchers and roboticists to design, visualize, and execute complex control tasks for simulated or real robotic systems. MJPC integrates a high-performance GUI and multiple predictive control algorithms, including iLQG, gradient descent, and Predictive Sampling — a competitive, derivative-free method that...
    Downloads: 1 This Week
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  • 25
    ToRA

    ToRA

    Tool-integrated Reasoning LLM Agents

    ToRA is an open-source framework developed by Microsoft for building tool-integrated reasoning agents powered by large language models. The project focuses on improving the ability of AI systems to solve complex mathematical and analytical problems by combining natural language reasoning with external computational tools. Instead of relying solely on text generation, the system dynamically invokes tools such as symbolic solvers or programming libraries when deeper computation is required. ...
    Downloads: 1 This Week
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