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The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Heterogeneous programming in Julia
Lightplane implements a highly memory-efficient differentiable radiance field renderer, and a module for unprojecting features from images to 3D grids.
Mirror only. Please do not send pull requests. See https://chromium.googlesource.com/webm/libwebp/ /HEAD/CONTRIBUTING.md.
An opinionated code formatter for Julia. Plot twist - the opinion is your own.
Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical in…
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
[CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch #RAL2020
Visual localization made easy with hloc
💨 A breath of fresh air for programming web apps in Julia
Beautiful and flexible vizualizations of high dimensional data
Python code for several metrics: PSNR, SSIM, UCIQE and UIQM
CUDA accelerated rasterization of gaussian splatting
Raytracing images on mesh from SfM results to compute depth maps
Official Pytorch implementation of the preprint paper "Castle in the Sky: Dynamic Sky Replacement and Harmonization in Videos", in arXiv:2010.11800.
Tools of soundscape information retrieval, this repository is a developing project. Please go to https://github.com/meil-brcas-org/soundscape_IR for full releases.
Lightning fast C /CUDA neural network framework
"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]
An unofficial Julia wrapper for the RAPIDS.ai ecosystem using PythonCall.jl
Differentiate python calls from Julia