Stars
This repo contains annotated research papers that I found really good and useful
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
The NASA Prognostic Model Package is a Python framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of …
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A dataset of 15 million CAD sketches with geometric constraint graphs.
This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2…
A complete computer science study plan to become a software engineer.
Open3D: A Modern Library for 3D Data Processing
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
📡 Organized Resources for Deep Learning Researchers and Developers
open source computer aided manufacturing algorithms library
A PyTorch Library for Accelerating 3D Deep Learning Research
MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
This is the official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.
GPU Accelerated Voxelization Framework for 3D CAD models.
Python package for 3D geometry CAD/BIM/CAM
Code for extracting 3dcnn features of CAD models
Generating 3D Voxel Models with Generative Adversarial Networks - Implemented in Tensorflow
Example scripts for the NURBS-Python (geomdl) package
An awesome list of tools available in 3d computer graphics for the research in computer graphics/vision and machine learning