Showing 16 open source projects for "generative"

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  • 1
    SDGym

    SDGym

    Benchmarking synthetic data generation methods

    The Synthetic Data Gym (SDGym) is a benchmarking framework for modeling and generating synthetic data. Measure performance and memory usage across different synthetic data modeling techniques – classical statistics, deep learning and more! The SDGym library integrates with the Synthetic Data Vault ecosystem. You can use any of its synthesizers, datasets or metrics for benchmarking. You also customize the process to include your own work. Select any of the publicly available datasets from the...
    Downloads: 1 This Week
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  • 2
    Malli

    Malli

    High-performance data-driven data specification library

    Malli is a powerful, data-driven schema library for Clojure and ClojureScript, offering rich support for specification, validation, parsing, error reporting, and generative testing. Designed for performance, Malli leverages efficient runtime representations and code generation, seamlessly integrating with Clojure’s data-oriented architecture. It supports function schemas, JSON transformation, and OpenAPI generation for strong API contracts.
    Downloads: 0 This Week
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  • 3
    BertViz

    BertViz

    BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

    BertViz is an interactive tool for visualizing attention in Transformer language models such as BERT, GPT2, or T5. It can be run inside a Jupyter or Colab notebook through a simple Python API that supports most Huggingface models. BertViz extends the Tensor2Tensor visualization tool by Llion Jones, providing multiple views that each offer a unique lens into the attention mechanism. The head view visualizes attention for one or more attention heads in the same layer. It is based on the...
    Downloads: 0 This Week
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  • 4
    Arize Phoenix

    Arize Phoenix

    Uncover insights, surface problems, monitor, and fine tune your LLM

    ...It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve. Deep Learning Models (CV, LLM, and Generative) are an amazing technology that will power many of future ML use cases. A large set of these technologies are being deployed into businesses (the real world) in what we consider a production setting.
    Downloads: 2 This Week
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  • 5
    city-roads

    city-roads

    Visualization of all roads within any city

    ...The visual style often abstracts away labels and extraneous map features to focus purely on the road network, giving a unique, aesthetic view of urban form and connectivity. Because road topology reflects historical, geographic, and planning decisions, the resulting images serve as both analytical tools and generative art. Developers can integrate it into web pages or interactive dashboards where geographic structure is central, and users can pan/zoom to compare different cities or neighborhoods.
    Downloads: 1 This Week
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  • 6
    Gretel Synthetics

    Gretel Synthetics

    Synthetic data generators for structured and unstructured text

    Unlock unlimited possibilities with synthetic data. Share, create, and augment data with cutting-edge generative AI. Generate unlimited data in minutes with synthetic data delivered as-a-service. Synthesize data that are as good or better than your original dataset, and maintain relationships and statistical insights. Customize privacy settings so that data is always safe while remaining useful for downstream workflows. Ensure data accuracy and privacy confidently with expert-grade reports. ...
    Downloads: 0 This Week
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  • 7
    CleanVision

    CleanVision

    Automatically find issues in image datasets

    ...This package currently detects issues in the raw images themselves, making it a useful tool for any computer vision task such as: classification, segmentation, object detection, pose estimation, keypoint detection, generative modeling, etc.
    Downloads: 0 This Week
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  • 8
    ProjectLibre - Project Management

    ProjectLibre - Project Management

    #1 alternative to Microsoft Project : Project Management & Gantt Chart

    ProjectLibre project management software: #1 free alternative to Microsoft Project w/ 7.8M+ downloads in 193 countries. ProjectLibre is a replacement of MS Project & includes Gantt Chart, Network Diagram, WBS, Earned Value etc. This site downloads our FOSS desktop app. 🌐 Try the Cloud: http://www.projectlibre.com/register/trial We also offer ProjectLibre Cloud—a subscription, AI-powered SaaS for teams & enterprises. Cloud supports multi-project management w/ role-based access, central...
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    Downloads: 14,429 This Week
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  • 9
    GnoppixNG

    GnoppixNG

    Gnoppix Linux

    Gnoppix is a Linux distribution based on Debian Linux available in for amd64 and ARM architectures. Gnoppix is a great choice for users who want a lightweight and easy-to-use with security in mind. Gnoppix was first announced in June 2003. Currently we're working on a Gnoppix version for WSL, Mobile devices like smartphones and tablets as well.
    Downloads: 85 This Week
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  • 10
    Mindolph

    Mindolph

    Mindolph is an open source desktop PKM software with Gen-AI support.

    Mindolph is an open source personal knowledge management software with Gen-AI support for all desktop platforms.
    Downloads: 6 This Week
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  • 11
    AppFlowy

    AppFlowy

    Bring projects, wikis, and teams together with AI.

    AppFlowy is an AI collaborative workspace where you can achieve more without losing control of your data. It is the best open source alternative to Notion, offering a 100% offline mode and self-hosting with a cloud service of your choice. Build a centralized workspace for your wiki, projects, and notes with AppFlowy. It allows you to organize and visualize your data in tables, Kanban boards, calendars, and more. You can filter and sort your data in any way you want. AppFlowy comes...
    Downloads: 60 This Week
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  • 12
    Joget

    Joget

    AI Powered Open Source Platform to Easily Build Enterprise Web Apps

    Joget offers an open-source, AI-powered platform that converges no-code/low-code development with AI to rapidly build and customize enterprise applications at scale. By combining AI with visual app builders—not raw code—Joget makes app generation faster, safer, and more accessible for everyone. With Generative AI and Agentic AI capabilities, Joget Intelligence enables organizations to automate and enhance processes while maintaining oversight and compliance. Unlike typical AI code generation, Joget's visual-first approach ensures applications are maintainable and governed within collaborative human workflows. As an Application and Integration Fabric, Joget connects legacy and modern systems seamlessly. ...
    Downloads: 15 This Week
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  • 13
    ML for Trading

    ML for Trading

    Code for machine learning for algorithmic trading, 2nd edition

    ...The design and evaluation of long-short strategies based on a broad range of ML algorithms, how to extract tradeable signals from financial text data like SEC filings, earnings call transcripts or financial news. Using deep learning models like CNN and RNN with financial and alternative data, and how to generate synthetic data with Generative Adversarial Networks, as well as training a trading agent using deep reinforcement learning.
    Downloads: 2 This Week
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  • 14
    CS Figures

    CS Figures

    Heuristic-based fractal and music generator-256+ systems.

    Welcome to CSFigures, the generative rendering program for all sorts of interpretations of digital roots. Digital roots in this program are constructed on a basis of a multiplication table, but with alternate counting systems contrasted, different from 0-9. The data is then analyzed by adding the imaginary digital symbols together, to achieve a single digit number, or alternately working with heuristics such as finding the last digit of each number.
    Downloads: 0 This Week
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  • 15
    ...It supports statistical modeling and data analysis along three main directions: (1) probabilistic graphical models (Bayesian networks, Markov random fields, dependency networks, hybrid random fields); (2) parametric, semiparametric, and nonparametric density estimation (Gaussian models, nonparanormal estimators, Parzen windows, Nadaraya-Watson estimator); (3) generative models for random networks (small-world, scale-free, exponential random graphs, Fiedler random fields), subgraph sampling algorithms (random walk, snowball, etc.), and spectral decomposition.
    Downloads: 0 This Week
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  • 16
    PHP Application Framework (PAF), a framework for developing PHP applications using model-driven and generative techniques.
    Downloads: 0 This Week
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