Lukas Meyer

3DShape2VecSet. Python

idf. implicit displacement field

DMM. An Implicit Parametric Morphable Dental Model

stochastic-gaussian-splatting. A CUDA implementation of two sorting-free, stochastic approaches for rendering 3DGS models with zero VRAM overhead.

pvBezier. Reference Implementation for the EuroVis 2026 paper "Parallel Vectors "Parallel Vectors Extraction using Bézier Clipping", Computer Graphics Forum (Proc. EuroVis), 45 (3), 2026.

NPHM. [CVPR'23] Learning Neural Parametric Head Models

PointTransformerV3. [CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)

siren. Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

occupancy_networks. This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

Point-MAE. [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning

DeepLocalShapes. Python

DeepSDF. Simple and intuitive implementation of DeepSDF that you can install with a single line of code.

SPHARM-Net. SPHARM-Net: Spherical Harmonics-based Convolutional Neural Network

OpenSpec. Spec-driven development (SDD) for AI coding assistants.

autoresearch. AI agents running research on single-GPU nanochat training automatically

DeepSDF. Learning Continuous Signed Distance Functions for Shape Representation

irbsm. Official implementation of "iRBSM: A Deep Implicit 3D Breast Shape Model" (BVM'25).

libigl-python-bindings. libigl python bindings

cgal-swig-bindings. CGAL bindings using SWIG

pyssam. A Python library for biomedical statistical shape and appearance modelling.

MeshMAE. MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

Neural3DMM. Official repository for the ICCV 2019 paper "Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation"

coma. Convolutional Mesh Autoencoders for Generating 3D Faces

scalismo. Scalable Image Analysis and Shape Modelling

Open-d4rt. Python

RT-DETR. [CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥

D-FINE. D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]

DAMO-YOLO. DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

sahi. Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

napari. napari: a fast, interactive, multi-dimensional image viewer for python

Grounded-SAM-2. Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

SDM-D. Jupyter Notebook

saiga. C++

NePO. C++

deepphenotree. Python

anker-solix-api. Python library for Anker Solix API

Depth-Anything-3. Depth Anything 3

ECC. The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

schedule_free. Schedule-Free Optimization in PyTorch

TimeVQVAE. [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023]

TFMAE. [ICDE'2024] Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection

ecef2lla. Co-ordinate transformation (ECEF - LLA) routines in Python

sam3. The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

ConvNeXt-V2. Code release for ConvNeXt V2 model

cuda. Ada

awesome-ada. A curated list of awesome resources related to the Ada and SPARK programming language

AutoencoderCompression. Learned Image Compression Using Autoencoder Architecture

complexPyTorch. A high-level toolbox for using complex valued neural networks in PyTorch

autoencoder_for_physical_layer. This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis

HASEL. An AI-supported tool for generating ground-truth data for Structured Light Laryngoscopy.

MNISTDiffusion. Implement a MNIST(also minimal) version of denoising diffusion probabilistic model from scratch.The model only has 4.55MB.

Time-Series-Library. A Library for Advanced Deep Time Series Models for General Time Series Analysis.

popfit. Population-based optimization library for parameter fitting and extraction in PyTorch.

faster-gaussian-splatting. An efficient and research-friendly Gaussian Splatting framework described in the CVPR'26 paper "Faster-GS: Analyzing and Improving Gaussian Splatting Optimization"

gaussian-splatting. Example integration of Faster-GS into the original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

gaussian-splatting. Exemplary integration of Faster-GS into the original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

SignalSim. A multi-stage GNSS signal and data simulator

pylayers. PyLayers is a Python platform for Site Specific Radio Propagation Simulation for Evaluating Indoor Localization algorithms using UWB radio signals including Human Indoor Mobility

DiffeRT. Differentiable Ray Tracing Toolbox for Radio Propagation Simulations

wave-propagation. Wave propagation framework for Python 3. Documentation and examples: https://wave-propagation.readthedocs.io/

deepinv. DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning

DDPM. Python

diffusers. 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Diffpose. [CVPR 2023] DiffPose: Toward More Reliable 3D Pose Estimation

diffusion-posterior-sampling. Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"

Diffusion-Model-for-Earthquake. Apply diffusion models for denoising seismograms.

PyRayHF. Python HF Raytracing Tool for the Ionosphere

PyIRI. Python implementation of the International Reference Ionosphere (IRI) that evaluates ionospheric parameters and electron density on the entire given global grid and for the entire day simultaneously.

NequickG. Python Implementation of European Space Agency's Galileo Ionospheric Model

open_clip. An open source implementation of CLIP.

pyproj. Python interface to PROJ (cartographic projections and coordinate transformations library)

WindTerm. A professional cross-platform SSH/Sftp/Shell/Telnet/Tmux/Serial terminal.

torch-levenberg-marquardt. PyTorch implementation of Levenberg-Marquardt training algorithm

GPSL1-DPEmodule. Open-source GNSS Direct Position Estimation Plug-in Module for MATLAB-based Two-step Positioning Software Defined Receivers

winget-cli. WinGet is the Windows Package Manager. This project includes a CLI (Command Line Interface), PowerShell modules, and a COM (Component Object Model) API (Application Programming Interface).

sshfs-win. SSHFS For Windows

srtm.py. Geo elevation data parser for "The Shuttle Radar Topography Mission" data

pyslam. pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.

fftw3. DO NOT CHECK OUT THESE FILES FROM GITHUB UNLESS YOU KNOW WHAT YOU ARE DOING. (See below.)

deep_gnss. Repository for GNSS-based position estimation using a Deep Neural Network

NavLab-DPE-SDR. CUDARecv and PyGNSS: open-source DPE-based GPS receiver software developed by the Stanford NAV Laboratory

cold-snapshot-demo. Obtain a GNSS position fix from an 11-millisecond raw GNSS signal snapshot without any prior knowledge about the position of the receiver and only very coarse knowledge about the time.

nfcalib. Code accompanying the paper "Automatic Spatial Calibration of Near-Field MIMO Radar With Respect to Optical Depth Sensors" (IROS 2024)

TDL-GNSS. A tightly coupled deep learning framework for GNSS

GNSS-AR. a C++ implementation of projection satellites into geo-referenced images and evaluating NLOS (Non-Line of Sight))

ComplexNN. A toolbox for using complex-valued standard network modules in PyTorch, including MLP, CNN, RNN, Attention.

Complex-Neural-Networks. Implementation of Complex Valued Neural Networks in Pytorch 🧠

snapshot-gnss-algorithms. Algorithms for location estimation based on short GNSS snapshots.

pocketfft. Fork of https://gitlab.mpcdf.mpg.de/mtr/pocketfft to simplify external contributions

Dependencies. A rewrite of the old legacy software "depends.exe" in C# for Windows devs to troubleshoot dll load dependencies issues.

Simple-FFT. Header-only C++ library implementing fast Fourier transform of 1D, 2D and 3D data.

jets. A lightweight, extensible forward-mode automatic differentiation framework written in python

mesh-splatting. Python

emqx. The most scalable and reliable MQTT broker for AI, IoT, IIoT and connected vehicles

DAAAM. Describe Anything, Anywhere, at Any Moment (DAAAM), a novel approach to real-time, large-scale, spatio-temporal memory

FAST. FAST is a GNSS Data Download and Processing software developed in Python. The software adopts a modular architecture, consisting of four main components: data download, quality analysis, SPP, and station selection

GS-LIVM. [ICCV'25] GS-LIVM: Real-Time Photo-Realistic LiDAR-Inertial-Visual Mapping with Gaussian Splatting

direct_position_estimation. The codes for direct position method in GNSS context

gnss_lib_py. Modular Python tool for parsing, analyzing, and visualizing Global Navigation Satellite Systems (GNSS) data and state estimates

vggt. [CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer

GNSS-DSP-tools. GNSS code generators, acquisition, and tracking

radiance_meshes. Training code for "Radiance Meshes for Volumetric Reconstruction".

MoGe. [CVPR'25 Oral] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

sam-3d-objects. SAM 3D Objects

googletest. GoogleTest - Google Testing and Mocking Framework

Organ3DNet. Python

gnss-sdr. GNSS-SDR, an open-source software-defined GNSS receiver

python-gps-receiver. GPS SDR Receiver - from raw signal through acquisition, tracking, and demodulation to decoded navigation data

gps-sdr-sim. Software-Defined GPS Signal Simulator

hackrf. low cost software radio platform

verysleepy. Very Sleepy, a sampling CPU profiler for Windows

MTuner. MTuner is a C/C++ memory profiler and memory leak finder for Windows and other platforms

SigDigger. Qt-based digital signal analyzer, using Suscan core and Sigutils DSP library

CubicSDR. Cross-Platform Software-Defined Radio Application

agri-gs-slam. [IEEE RA-L 2026] AgriGS-SLAM: Orchard Mapping Across Seasons via Multi-View Gaussian Splatting SLAM

ref_depth. Python

bioclip. This is the repository for the BioCLIP model and the TreeOfLife-10M dataset [CVPR'24 Oral, Best Student Paper].

DiffTS. Diffusion-based Tree Skeletonization

active-gs. [RA-L2025] ActiveGS: Active Scene Reconstruction Using Gaussian Splatting

local-irbsm. Official implementation of "Learning Neural Parametric 3D Breast Shape Models for Metrical Surface Reconstruction From Monocular RGB Videos" (MELBA).

manim. Animation engine for explanatory math videos

PlantNet-and-PSegNet. The official code of PlantNet and PSegNet

spectral-similarity-metrics-comparison. Code for the paper An analysis of spectral similarity measures

faking_depth_icra. ICRA 2023 release of depth completion of transparent objects using augmented unpaired data

NeuralMeshing. Code for the paper "NeuralMeshing: Complete Object Mesh Extraction from Casual Captures" (submitted)

Awesome-LabelFree-VLMs. Collection of Unsupervised Learning Methods for Vision-Language Models (VLMs)

QuantizedFCA. Python

FeaturePainting. Official implementation of Example-Based Feature Painting on Textures.

top-cvpr-2025-papers. About This repository is a curated collection of the most exciting and influential CVPR 2025 papers. 🔥 [Paper + Code + Demo]

tutorialada. An Ada tutorial

nonmanifold-laplacian. A robust Laplace matrix for general (possibly nonmanifold) triangle meshes, and point clouds [Sharp & Crane SGP 2020]

awesome-NeRF-and-3DGS-SLAM. A comprehensive list of Implicit Representations, NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, including papers, videos, codes, and related websites

3D-Reconstruction-Plants. 3D Reconstruction in Plant Phenotyping

Wheat-3DGS. Official implementation of Wheat3DGS: In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian Splatting

PBNLiDAR. Code Release for the ITSC 2025 Paper Physically Based Neural LiDAR Resimulation (PBNLR)

3dprintyourbrain. How to 3D print your brain from a T1 MRI image.

queen. Official PyTorch implementation of QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos (NeurIPS 2024)

Prompt-Engineering-Guide. 🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

llm-course. Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

MS-Splatting. Multi-Spectral Gaussian Splatting with Neural Color Representation

ConformalFirstPassage. Reference Implementation for the SIGGRAPH 2025 journal paper

multidim-positional-encoding. An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow

fastmap. A fast and simple structure from motion pipeline written in Pytorch.

SOC-GS. The official implement of AAAI2025 conference paper "Cross-Spectral Gaussian Splatting with Spatial Occupancy Consistency"

thermo-nerf. (Advanced Engineering Informatics 2025) ThermoNeRF - Thermographic NeRF

SkeletonDemos. Source code to generate the examples from the paper "A practical introduction to skeletons for the plant sciences"

INPC. Official code release for "INPC: Implicit Neural Point Clouds for Radiance Field Rendering" and "A Bag of Tricks for Efficient Implicit Neural Point Clouds"

FeatSplat. Official implementation of the paper "Feature Splatting for Better Novel View Synthesis with Low Overlap"

pytorch_differentiable_mutual_info. DIfferentiable approximation to the mutual information measure written in PyTorch.

thermalnerfs. Python

OpenScan2. an improved firmware for the OpenScan devices, featuring many more cameras and a greatly improved overall usability

SpectralNeRF. [AAAI 2024] SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field

Thermal-Gaussian-main. Received by ICLR2025

nerfstudio-thermal. Code release for "ThermalNeRF: Thermal Radiance Fields"

ggwave. Tiny data-over-sound library

zero-shot-counting. CVPR2023 Zero-shot Counting

SSS-GS. Subsurface Scattering for Gaussian Splatting

tree-gen. Procedural generation of tree models in blender

arbre. A partial implementation of Jason Weber and Joseph Penn's paper, "Creation and Rendering of Realistic Trees", from SIGGRAPH 1995. Used as a basic example on how one could set up nested object instance hierarchies to maximize memory efficiency in RenderMan.

cuda-utils. Cuda Utilities for the NeRFICG Framework

maroon. Official code repository accompanying the paper "MAROON: A Dataset for the Joint Characterization of Near-Field High-Resolution Radio-Frequency and Optical Depth Imaging Techniques"

icgui. Graphical User Interface for the NeRFICG Framework

nerficg. The ICG Neural Radiance Fields and Novel View Synthesis Framework.

ProjectionMapping. Projection mapping system supporting large networked projector setups

inverse-radar-rendering. Source code for our paper "Inverse Rendering of Near-Field mmWave MIMO Radar for Material Reconstruction"

DeepSeek-V3. Python

TVKILL. An application that lets you turn-off TVs with the IR-blaster of your Android device. Inspired by the TV-B-Gone remote.

WebODM. User-friendly, commercial-grade software for processing aerial imagery. ✈️ Download it for free!

plantcv. Plant phenotyping with image analysis

Register3D. 3D point cloud registration tool

ddg-exercises-js. JavaScript

samurai. Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

Cutie. [CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation

grapevine-3d-scanner-landing-page. Landing page for the paper: Accurate 3D Grapevine Structure Extraction from High-Resolution Point Clouds

sky-follower-bridge. Instantly find and follow the same users from your X(Twitter) follower on Bluesky.

3DBodyTwin. C++

pickandscan. Python

noposegs. Python

street_gaussians. [ECCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting

spatio-temporal-mapping. Pipeline for spatio-temporal consistent mapping in highly dynamic environments

Lotus. Official implementation of "Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction"

LaTeX-OCR. pix2tex: Using a ViT to convert images of equations into LaTeX code.

GPU-Puzzles. Solve puzzles. Learn CUDA.

matern-surface-reconstruction. Official implementation of "Matérn Kernels for Tunable Implicit Surface Reconstruction" (ICLR'25).

MM3DGS-SLAM. [IROS 2024] MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements

SfM_3D_fruit_detection. Fruit detection and 3D location in photogrammetry-derived 3D point clouds

glomap. GLOMAP - Global Structured-from-Motion Revisited

Torch-Sparse-Multiply. PyTorch Memory Efficient Sparse Sparse Matrix Multiplication

Bend. A massively parallel, high-level programming language

uvadlc_notebooks. Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

eavesdrop. A single-file, dependency-free Python event system

single-scan-3dmms. The code for the paper "Building 3D Morphable Models from a Single Scan" (https://arxiv.org/abs/2011.12440).

glomap. [DEPRECATED] GLOMAP - Global Structured-from-Motion Revisited

sam2. The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

ndg-fitting. Official implementation of the SIGGRAPH 2024 paper "N-Dimensional Gaussians for Fitting of High Dimensional Functions"

acezero. [ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.

MinimalDX12Raytracing. A small DirectX 12 raytracer

DynamicConvolution. Unofficial PyTorch implementation of Dynamic Convolution: Attention over Convolution Kernels

CainGAN. Python

small-vde. Implementation of the Vortex Deviation Error (VDE) from the paper "Objective Lagrangian Vortex Cores and their Visual Representations", IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE Visualization 2024), 2025.