Stars
Repository for the book "Crafting Interpreters"
links to conference publications in graph-based deep learning
Simulation platform for general-purpose robotics & embodied AI learning.
Contour Location Via Entropy Reduction (NeurIPS 2018)
Source code for "Learning Adaptive Sampling and Reconstruction for Volume Visualization"
Set of advanced samples for the NVIDIA OptiX Ray Tracing Engine.
A gpu based implementation of a K-D Tree Builder
A library for Multilingual Unsupervised or Supervised word Embeddings
Learning Continuous Signed Distance Functions for Shape Representation
A list of papers and datasets about point cloud analysis (processing)
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations (SciVis 2019)
The CFD General Notation System (CGNS) provides a standard for recording and recovering computer data associated with the numerical solution of fluid dynamics equations. All development work and bu…
Experiments for understanding disentanglement in VAE latent representations
An adaptive mesh, N-body hydro cosmological simulation code
AMReX: Software Framework for Block Structured AMR
a deep model that segments water on multispectral images
Must-read papers on graph neural networks (GNN)
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
This is a collection of computer graphics related courses, books, tutorials, articles, blogs, resources, researcher homepages, lab homepages, video channels, open source projects, websites, etc.
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space