Repository of the paper "AnyUp: Universal Feature Upsampling".

[SIGGRAPH Asia 2025 - TOG] Official implementation of MILo: Mesh-In-the-Loop Gaussian Splatting for Detailed and Efficient Surface Reconstruction

TUI for the Slurm Workload Manager

NanoGPT (124M) quality in 3.7B tokens with SOAP optimizer

Multi-Camera Hand-Eye Calibration Framework for calibrating a camera network with respect to a robot arm

(EarthVision 2025 - CVPR Workshop) Official repository of DAFA-LS, a dataset of satellite image time series for the task of archaeological looting detection.

[CVPR 2025 - Spotlight] Official PyTorch implementation of MAtCha Gaussians: Atlas of Charts for High-Quality Geometry and Photorealism From Sparse Views

Official PyTorch implementation of the paper "Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs"

SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images (ECCV 2024)

Official code implementation of Slow Perception:Let's Perceive Geometric Figures Step-by-step

Code for "How far can we go with ImageNet for Text-to-Image generation?" paper

official implementation of the Polynomial Mixer

Code for "Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation"

DINO-X: The World's Top-Performing Vision Model for Open-World Object Detection and Understanding

Includes the code for training and testing the CountGD model from the paper CountGD: Multi-Modal Open-World Counting.

💪🏻 Blazing-fast system monitoring for your desktop (built with Rust, Tauri & Svelte)

The Learnable Typewriter: A Generative Approach to Text Line Analysis

Handwritten Text Recognition and Character Detection

Diffusion Models as Data Mining Tools

[CVPR 2024 Highlight✨] Official Pytorch Code for EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation

Tensors, for human consumption

Hydra is a framework for elegantly configuring complex applications

Reliability in Semantic Segmentation: Can We Use Synthetic Data? (ECCV 2024)

A Pytorch-Lightning implementation of self-supervised algorithms

An Interpretable Deep Learning Approach for Morphological Script Type Analysis (IWCP 2024)

[ICLR 2023 - UNOFFICIAL] Bridging the Gap to Real-World Object-Centric Learning

[NeurIPS 2023] Self-supervised Object-Centric Learning for Videos

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

Oh my tmux! My self-contained, pretty & versatile tmux configuration made with 💛🩷💙🖤❤️🤍