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Estimation of the lettuce fresh weight during growing based on 3D imaging.
[CVPR 2025 Best Paper Nomination] FoundationStereo: Zero-Shot Stereo Matching
Arduino firmware that executes g-code like commands over a serial line to move the FarmBot and operate the tool mount
Example notebooks showing how to work with ECMWF services and data
A Rust implementation of the ISO11783 (ISOBUS) & J1939 protocols
AgIsoStack++ is the completely free open-source C++ ISOBUS library for everyone
Visualize PyTorch tensors with a single line of code.
Mini Drone/Quadcopter Firmware for ESP32 and ESP32-S Series SoCs.
Open-source weight and body metrics tracker, with support for Bluetooth scales
Matplotlib styles for scientific plotting
3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
Segmentation of Lettuce in Coloured 3D Point Clouds for Fresh Weight Estimation
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!
Important concepts in numerical linear algebra and related areas
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.
A collection of resources and papers on Diffusion Models
The official Pytorch implementation of OCNet, OCRNet, and SegFix.
Image augmentation for machine learning experiments.