Showing 14 open source projects for "parametric"

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  • 1
    CadQuery

    CadQuery

    A python parametric CAD scripting framework based on OCCT

    CadQuery is an intuitive, easy-to-use Python library for building parametric 3D CAD models. It has several goals. Build models with scripts that are as close as possible to how you’d describe the object to a human, using a standard, already established programming language. Create parametric models that can be very easily customized by end users. Output high-quality CAD formats like STEP and AMF in addition to traditional STL.
    Downloads: 35 This Week
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  • 2
    NeuralForecast

    NeuralForecast

    Scalable and user friendly neural forecasting algorithms.

    NeuralForecast offers a large collection of neural forecasting models focusing on their performance, usability, and robustness. The models range from classic networks like RNNs to the latest transformers: MLP, LSTM, GRU, RNN, TCN, TimesNet, BiTCN, DeepAR, NBEATS, NBEATSx, NHITS, TiDE, DeepNPTS, TSMixer, TSMixerx, MLPMultivariate, DLinear, NLinear, TFT, Informer, AutoFormer, FedFormer, PatchTST, iTransformer, StemGNN, and TimeLLM. There is a shared belief in Neural forecasting methods'...
    Downloads: 0 This Week
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  • 3
    Optax

    Optax

    Optax is a gradient processing and optimization library for JAX

    Optax is a gradient processing and optimization library for JAX. It is designed to facilitate research by providing building blocks that can be recombined in custom ways in order to optimize parametric models such as, but not limited to, deep neural networks. We favor focusing on small composable building blocks that can be effectively combined into custom solutions. Others may build upon these basic components in more complicated abstractions. Whenever reasonable, implementations prioritize readability and structuring code to match standard equations, over code reuse.
    Downloads: 0 This Week
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  • 4
    DoWhy

    DoWhy

    DoWhy is a Python library for causal inference

    ...DoWhy builds on two of the most powerful frameworks for causal inference: graphical causal models and potential outcomes. For effect estimation, it uses graph-based criteria and do-calculus for modeling assumptions and identifying a non-parametric causal effect. For estimation, it switches to methods based primarily on potential outcomes.
    Downloads: 0 This Week
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  • 5
    SAM 3D Body

    SAM 3D Body

    Code for running inference with the SAM 3D Body Model 3DB

    SAM 3D Body is a promptable model for single-image full-body 3D human mesh recovery, designed to estimate detailed human pose and shape from just one RGB image. It reconstructs the full body, including feet and hands, using the Momentum Human Rig (MHR), a parametric mesh representation that decouples skeletal structure from surface shape for more accurate and interpretable results. The model is trained to be robust in diverse, in-the-wild conditions, so it handles varied clothing, viewpoints, and backgrounds while maintaining strong accuracy across multiple human-pose benchmarks. The repository provides Python code to run inference, utilities to download checkpoints from Hugging Face, and demo scripts that turn images into 3D meshes and visualizations. ...
    Downloads: 3 This Week
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  • 6
    FreeCAD

    FreeCAD

    a parametric 3D CAD modeler

    This is an official mirror of FreeCAD. Code and release files are primarily hosted on https://github.com/FreeCAD/FreeCAD and mirrored here. FreeCAD is a general purpose feature-based, parametric 3D modeler for CAD, MCAD, CAx, CAE and PLM, aimed directly at mechanical engineering and product design but also fits a wider range of uses in engineering, such as architecture or other engineering specialties. It is 100% Open Source and extremely modular, allowing for very advanced extension and customization. FreeCAD is based on OpenCasCade, a powerful geometry kernel, features an Open Inventor-compliant 3D scene representation model provided by the Coin 3D library, and a broad Python API. ...
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    Downloads: 1,738 This Week
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  • 7
    LabRPS

    LabRPS

    Random phenomena generator

    This is an official mirror of LabRPS. Code and release files are primarily hosted on https://github.com/LabRPS/LabRPS and mirrored here LabRPS aims to be a tool for the numerical simulation of random phenomena such as stochastic wind velocity, seismic ground motion, sea surface ... etc. It can be in a wide range of uses around engineering, such as random vibration or vibration fatigue in mechanical engineering, buffeting analysis in bridge engineering.... LabRPS is mainly to assist...
    Downloads: 0 This Week
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  • 8
    FrankMocap

    FrankMocap

    A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

    FrankMocap is a monocular 3D human capture system that estimates body, hand, and optionally face pose from a single RGB image or video. It regresses parametric human models (e.g., SMPL/SMPL-X) directly, producing temporally stable meshes and joint angles suitable for animation or analytics. The pipeline couples a robust 2D keypoint detector with 3D mesh regression networks and priors that keep results anatomically plausible. It can run frame-by-frame or with temporal smoothing, and includes demo apps for live webcam capture as well as batch processing. ...
    Downloads: 1 This Week
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  • 9
    Bangla TTS

    Bangla TTS

    Bangla text to speech synthesis in python

    Bangla text to speech Multilingual (Bangla, English) real-time ([almost] in a GPU) speech synthesis library. Installation -------------------------------------- * Install Anaconda * conda create -n new_virtual_env python==3.6.8 * conda activate new_virtual_env * pip install -r requirements.txt * While running for the first time, keep your internet connection on to download the weights of the speech synthesis models (>500 MB) * For...
    Downloads: 3 This Week
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  • 10
    spapper
    Spatial Grammar Interpreter Applet: A 3D spatial grammar interpreter that provides for the interactive, visual development and application of three-dimensional parametric grammar rules.
    Downloads: 0 This Week
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  • 11
    Parasol is a python framework in which mathematical models can be investigated parametrically. It enables easy optimization, sensitivity study, and visualization. Output is in plain text, HTML, and Microsoft Suite files (Excel, Word and PowerPoint).
    Downloads: 0 This Week
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  • 12
    AutoManga will provide authoring tools (integrated with the Skencil vector graphics program) and PyGame (SDL) based display tools for parametric character animation, with tools and helpers optimized for "manga-style" characters. Uses 2D SVG "cels".
    Downloads: 0 This Week
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  • 13

    PyNurbs

    curves, surfaces, Bézier. B-Spline, NURBS

    Python library for parametric curves and surfaces, expecially Bézier curves, B-Splines and NURBS. Developed for the my first degree thesis.
    Downloads: 0 This Week
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  • 14
    ...It's based on Qt4. Features of this project: 1. dxf import, export; 2. raster bitmaps export; 3. native postscript or pdf export (in future); 4. Python scripting; 5. Parametric drawings.
    Downloads: 0 This Week
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