Search Results for "3d model" - Page 3
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Showing 307 open source projects for "3d model"
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SCAIL
Towards Studio-Grade Character Animation via In-Context Learning of 3D
SCAIL is a project developed by the ZAI Organization, focusing on AI-driven research initiatives. While specific documentation about SCAIL’s exact goals and implementation is limited from the repository context alone, the project appears to be part of a collection of machine learning and AI research tools that facilitate scalable model development, evaluation, or application workflows. Given its listing alongside other ZAI projects like speech recognition and text-to-speech systems, SCAIL... -
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Tracking Any Point (TAP)
DeepMind model for tracking arbitrary points across videos & robotics
TAPNet is the official Google DeepMind repository for Tracking Any Point (TAP), bundling datasets, models, benchmarks, and demos for precise point tracking in videos. The project includes the TAP-Vid and TAPVid-3D benchmarks, which evaluate long-range tracking of arbitrary points in 2D and 3D across diverse real and synthetic videos. Its flagship models—TAPIR, BootsTAPIR, and the latest TAPNext—use matching plus temporal refinement or next-token style propagation to achieve state-of-the-art... -
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SynaBun
Persistent vector memory for AI assistants
...One of its defining characteristics is its Neural Interface, a browser-based 3D visualization that represents stored memories as nodes in an interactive graph, allowing users to explore relationships, edit entries, and manage knowledge visually. -
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video2robot
End-to-end pipeline converting generative videos
video2robot is an end-to-end open-source pipeline that converts generative video or prompt-driven motion content into executable humanoid robot motion sequences, enabling researchers and developers to go from high-level action descriptions or videos to robot-ready motion data. The pipeline supports both prompt-to-video generation using models like Veo/Sora and video upload processing, followed by human pose extraction through a 3D pose model and retargeting of that motion to robot joints using a general motion retargeting system. This workflow allows users to generate robot motion files that specify joint angles, root positions, and orientations that can be deployed on supported robot platforms (e.g., Unitree models). Video2robot includes scripts for each stage of the pipeline (generation, extraction, conversion, visualization) and can run as a CLI or through a basic web UI. -
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VoxelMorph
Unsupervised Learning for Image Registration
VoxelMorph is an open-source deep learning framework designed for medical image registration, a process that aligns multiple medical scans into a common spatial coordinate system. Traditional image registration techniques typically rely on optimization procedures that must be executed separately for each pair of images, which can be computationally expensive and slow. VoxelMorph approaches the problem using neural networks that learn to predict deformation fields that transform one image so... -
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DeepSpeed
Deep learning optimization library: makes distributed training easy
...Train/Inference on resource constrained GPU systems 4. Achieve unprecedented low latency and high throughput for inference 5. Achieve extreme compression for an unparalleled inference latency and model size reduction with low costs DeepSpeed offers a confluence of system innovations, that has made large scale DL training effective, and efficient, greatly improved ease of use, and redefined the DL training landscape in terms of scale that is possible. These innovations such as ZeRO, 3D-Parallelism, DeepSpeed-MoE, ZeRO-Infinity, etc. fall under the training pillar. -
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Lingvo
Framework for building neural networks
...Lingvo includes reference models and configurations for domains like machine translation, automatic speech recognition, language modeling, image understanding, and 3D object detection. Centralized hyperparameter configuration files allow researchers to share exact experiment setups so others can retrain and compare results reliably. -
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PyG
Graph Neural Network Library for PyTorch
...In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. All it takes is 10-20 lines of code to get started with training a GNN model (see the next section for a quick tour). -
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VR Neuroanatomy
Explore and dissect a complete brain model in VR
Understanding the anatomy of complex organs such as the human brain can be a challenge for students, so there is a definite advantage given to students who can experience the structures in a spatial way through real or virtual experiences. Since 2016, the Marquette Visualization Lab has been utilizing a dataset of 3 and 7 Tesla MRI scans from the Structural Informatics Group at University of Washington to visualize the structures of the brain in their Cave, utilizing the Unity game engine... -
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CADAM
CADAM is the open source text-to-CAD web application
...The project integrates modern web tooling and a backend stack to manage sessions, model generation requests, and persisted outputs, making it usable as an actual product rather than only a demo. It’s also built to support an agentic workflow, where the system can refine outputs over multiple steps, bridging the gap between intent (“a bracket with four mounting holes”) and precise geometry. -
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dj-stripe
dj-stripe automatically syncs your Stripe Data to your local database
Dj-stripe is an extensible wrapper around the Stripe API that continuously syncs most of the Stripe Data to your local database as pre-implemented Django Models, out of the box! This allows you to use the Django ORM, in your code, to work with the data making it easier and faster! For example, if you need to interact with a customer subscription, you can use dj-stripe’s Subscription Model, in your code, to get the subscription data for that customer as well as the related models’ data too... -
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raylib-go
Go bindings for raylib, a simple and easy-to-use library
raylib-go is a Go (Golang) binding/wrapper around raylib, the light-weight C library for video game and multimedia programming. It allows Go developers to build 2D (and some simple 3D) games, graphical applications, or multimedia tools using a familiar and simple API, while leveraging Go’s language ergonomics, concurrency model, and ecosystem. With raylib-go, developers can draw graphics, handle input, play sound, manage textures, and manage game loops directly in Go — without needing to write or interface with C manually. ... -
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Diffusers
State-of-the-art diffusion models for image and audio generation
Diffusers is the go-to library for state-of-the-art pretrained diffusion models for generating images, audio, and even 3D structures of molecules. Whether you're looking for a simple inference solution or training your own diffusion models, Diffusers is a modular toolbox that supports both. Our library is designed with a focus on usability over performance, simple over easy, and customizability over abstractions. State-of-the-art diffusion pipelines that can be run in inference with just a... -
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DIY Split-Flap Display
DIY split-flap display
This is a work in progress split-flap display. Each module can flip between 40 unique characters: letters, numbers, and a few symbols. Multiple modules fit perfectly alongside each other to build bigger displays. The primary design goal was to make something that's possible to fabricate at home in small or single quantities and can be customized and built by an intermediate hobbyist at a reasonable price. This meant using widely available materials and avoiding any tooling with a high... -
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TRELLIS.2-stableprojectorz
Single-click installer of TRELLIS.2 (3d-model generator) for 8GB gpus
Single-click installer for TRELLIS.2 Trellis.2 is a state-of-the-art 4B-parameter 3D generative model by Microsoft Research (2025) Igor Aherne optimized it to run more comfortably on 8GB Nvidia GPUS, even at 1024 voxel resolution. Generates high-resolution fully textured assets with PBR materials (Base Color, Roughness, Metallic, Opacity). Uses a novel O-Voxel representation that handles open surfaces, non-manifold geometry, and internal structures. -
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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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Templot5
for model railway track builders
Templot5 is a free open-source computer program for the design and 3D printing of model railway track. The files are written in Pascal for compilation in Lazarus. Templot has been a hobby project of mine for more than 40 years and I'm happy to share it with other model track builders and anyone with similar interests. More info and user forum at: https://85a.uk/templot/club Martin. -
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The Retribution Engine is designed for first person shooter games on Windows and Linux PCs using OpenGL and OpenAL. It is supplied with a range of games and levels and includes fully featured level and model editors. On Linux the game and tools work fine using wine/bottles and the game can also be imported into Steam client and runs on proton experimental.
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for the latest release see either - https://github.com/OGRECave/ogre - https://github.com/OGRECave/ogre-next An efficient, object-oriented hardware accelerated 3D engine. It abstracts the differences between APIs and platforms and allows scene-oriented coding through an easy to use object model. Adaptable to multiple scene types (indoor, outdoor, whatever)
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A3DGE
Amateur 3D Game Engine
The Amateur 3D Game Engine (A3DGE) is a simple game engine focused in simplicity. Written in Object Pascal using Allegro. The goal is to be an engine easy to learn and to understand. It is ideal for amateur and students. You can use it as it is or modify it. -
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Dead Deer 3.14.92.2026
3D modeler, 3D game maker, 3D demo maker
3D modeler, 3D game maker, 3D demo maker. to model and create games, demos. Scripting language allows you to code interactions in pseudo-C with the animation and synthesize your own rendering with own-made shaders. Import FBX, BLEND, GLTF, OBJ, 3DS, DAE, X, XML, STL, PCB, ASC, PLY, GSPLATS. Cross-platform project WINDOWS 32/64 /MACOSX 10.6/ 10.8+/APPLSilicon /LINUX/iOS/ANDROID/WINDOWS PHONE/GOOGLE VR/OPEN VR/OCULUS VR/WEBASM/UWP8/10/OPENXR, PIs (ARM32/64), RISCV Players and Editors. ... -
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Beampath
Beam dynamics simulations in linear accelerators and beamlines
...Detailed description of model can be found in Y.K.Batygin, “Particle-in-cell code BEAMPATH for beam dynamics simulations in linear accelerators and beamlines” Nuclear Instruments and Methods in Physics Research A 539 (2005) 455–489. -
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TORCS, The Open Racing Car Simulator is a highly portable multi platform car racing simulation. It is used as ordinary car racing game, as AI racing game and as research platform. It runs on Linux (x86, AMD64, ARM and PPC), FreeBSD, OpenSolaris and Windows.
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MathMod
MathMod is a mathematical modeling software
MathMod is a portable interactive plotting and graphing program for Windows, Linux, MacOSX and many other platforms. MathMod allows to plot 3D mathematical surfaces, described by implicit or parametric equations, and offers a very large database of model samples that can be generated with it. It's Free and Open Source. Change-log for MathMod-13.0 (15/11/2025) 1) Scripts generator to add thickness to iso/parametric surfaces 2) Undo/Redo commands for navigating through previous scripts 3) New scripts, Bug-fixes, code optimization and documentation update For a complete list of changes made during the course of development, please visit: https://github.com/users/parisolab/projects/2 -
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AtomicJ
Application for analysis of AFM data
...AtomicJ supports a wide range of contact mechanics models, including the models for blunt tips, the corrections for the effect of finite sample thickness, models of adhesive contact and models of spherical indentation of hyperelastic material. It implements novel procedures for analysis of force curves which allow for greater resistance to model deviations. AtomicJ can process force maps, it generates maps of Young’s modulus, adhesion force, transition indentation, sample height and the deformation. The results of force maps processing can be visualized in 3D.
