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2D to 3D constraints parts sketc
This is for my workbench where I can take 2D pictures and turn them into 3D CAD models and parts and turn them into edges and coordinates to edit the features3D Deep learning Papers
based off deep learning papers I read on 3D meshcad build
cad buildclassroom
training repos for deep learningdeep learning project
everything to add to deep learning aifine tune LLM
Libraries to Fine tune LLMfreecad stuff
🔮 Future ideas
Stars
Implementation code for our paper "Drawing2CAD: Sequence-to-Sequence Learning for CAD Generation from Vector Drawings"
A bunch of useful FreeCAD parametric models I've designed
Great collection of Python code snippets converted to the FreeCAD style. It's an excellent opportunity to learn COIN3D with many useful and practical code examples.
A storage location for all kinds of example FreeCAD files
A FreeCAD Example Drawing of Centered Rectangle Parameterized for Width, Height, and Depth
Simple macro to get the length of a B-spline from a sketch in FreeCAD
A curated list of CadQuery code and resources.
An AI powered CAD design generator for FreeCAD
collection of my python scripts for FreeCAD
FreeCAD python scripts for create surrogate data
A FreeCAD macro for generating the python codes of all sketches in a FreeCAD part and genereate picture of sketch
[ICLR 2025] Generating CAD Code with Vision-Language Models for 3D Designs
Code for "Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance" (CVPR 2024)
Code for "Octree Guided Unoriented Surface Reconstruction" (CVPR2023)
A collection of conditional \ modulatable implicit neural representation implementations and basic building blocks in PyTorch.
Signed-distance-function based ray-marching renderer written in GLSL in a fragment shader, for running on a GPU. Renders 3D fractals in real time. (C++/GLSL) - Jan 2019
Awesome MCP Servers - A curated list of Model Context Protocol servers
Standard Generic Library (SGL) for Pascal using records with heap memory allocator and typed memory regions.
A project testing and comparing various algorithms for creating isosurfaces.
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021)
[ICRA25] PhysPart: Physically Plausible Part Completion for Interactable Objects
Neural implicit reconstruction experiments for the Vector Neuron paper
'cubicle' - a CUDA-centric BVH query library (kNN, find closest point, etc)
Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"
Official implementation of "Implicit Neural Representations with Periodic Activation Functions"
Messing with Taichi voxel challenge renderer in order to "learn" some python and Taichi