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A quick guide (especially) for trending instruction finetuning datasets
Open-source simulator for autonomous driving research.
Tactile Sensing and Simulation; Visual Tactile Manipulation; Open Source.
Compute Zernike moments (complex coefficients of Zernike expansion) and Zernike invariants (rotationally invariant) from voxelised MRC density maps (cryo-EM)
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Code to go with the paper "Aperture-Aware Lens Design"
Seamless operability between C++11 and Python
ChatGPT提问技巧
Official code repository for the paper: "The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection"
18.369/8.315 - Mathematical Methods in Nanophotonics course
RCWA with inherent automatic differentiation using TensorFlow
DFlat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurface optics, it may be used for any end-to-end imaging and sensing task.
A technical report on convolution arithmetic in the context of deep learning
A reading list for computational optics liteature presented on SIGGRAPH.
A collection of papers in the area of photonic design automation
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
Scientific computing library for optics, computer graphics and visual perception.
Very simple Pytorch implementation of gumbel-softmax trick for differentiable design of discrete optics
(Tensorflow Version) D-Flat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurface optics, it may be used for any end-to-end imaging and …
Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.