Differentiable and accelerated spherical transforms with JAX

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

A minimal driver for VectorNav IMUs

A library for differentiable nonlinear optimization

A library for differentiable robotics.

A General NeRF Acceleration Toolbox in PyTorch.

Build bootstrapping for the Event-aided Direct Sparce Odometry (EDS)

Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

Neural Surface reconstruction based on Instant-NGP. Efficient and customizable boilerplate for your research projects. Train NeuS in 10min!

An awesome PyTorch NeRF library

Unofficial pytorch-lightning implement of Mip-NeRF

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

Normalizing flows in PyTorch

A curated list of resources on implicit neural representations.

JAX - A curated list of resources https://github.com/google/jax

Must-read papers on graph neural networks (GNN)

A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.

A beautiful, simple, clean, and responsive Jekyll theme for academics

A LaTeX template for thesis of the National University of Singapore (NUS)

Event-based Vision Resources. Community effort to collect knowledge on event-based vision technology (papers, workshops, datasets, code, videos, etc)