J. Cappelletto's repositories
rawgraphs-app
A web interface to create custom vector-based visualizations on top of RAWGraphs core
rawgraphs-charts
A curated selection of charts provided through RAWGraphs interface
accelerated_features
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
anipose
🐜🐀🐒🚶 A toolkit for robust markerless 3D pose estimation
awesome-coral-research
:ocean: A curated list of awesome coral research tools and resources.
blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
ComputeLibrary
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
dvc
🦉 Data Version Control | Git for Data & Models | ML Experiments Management
gpt4-pdf-chatbot-langchain
GPT4 & LangChain Chatbot for large PDF docs
isaac_ros_visual_slam
Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance.
label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
latent_toolbox
Collection of assisting tools to process/consume OpLab datasets+latents into general ML pipelines
metashape-scripts
Python scripts for Metashape (former PhotoScan)
MultiBench
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
NN-SVG
Publication-ready NN-architecture schematics.
rawgraphs-core
RAWGraphs core library
sam-pt
SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.
segment-anything
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.
Track-Anything
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
visualizeMe
Collection of tools to generate summary plots, SVGs and renders for reporting regression and map predictions