A modern model graph visualizer and debugger

Ray tracing and hybrid rasterization of Gaussian particles

neosr is an open-source framework for training super-resolution models.

Arbitrary-steps Image Super-resolution via Diffusion Inversion (CVPR 2025)

Julia interface to libavif

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

Minimal and clean examples of machine learning algorithms implementations

Differentiable acoustic ray tracers

Julia wrapper for Acoustics Toolbox (Bellhop, Kraken, Orca, ...)

Framework for Java and Groovy Agents

Java interface to OpenCV, FFmpeg, and more

Real-time underwater acoustic simulator

Julia interface to libjpeg-turbo

UnetSocket interfaces for various languages

Julia bindings for the Enzyme automatic differentiator

Implementation of a language-level autograd compiler

DFNet: Enhance Absolute Pose Regression with Direct Feature Matching (ECCV 2022)

Julia-based implementation of ellipsis array indexing notation `..`

[CVPR 2024 Highlight] Map-Relative Pose Regression for Visual Re-Localization

Different methods for pose recovery.

Tools for Open Steet Map: Point-of-Interest extraction and tiling of map data

Newton and Quasi-Newton optimization with PyTorch

Python and Julia in harmony.

GLOMAP - Global Structured-from-Motion Revisited

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.