francorvalan

francorvalan's Stars

• Future-House/paper-qa

  High accuracy RAG for answering questions from scientific documents with citations

  Language:Python6.5k54275623

• nerfstudio-project/gsplat

  CUDA accelerated rasterization of gaussian splatting

  Language:Cuda2.3k49264299

• nanxstats/awesome-shiny-extensions

  🐝 Awesome R and Python packages offering extended UI or server components for the web framework Shiny

  1.5k7115182

• roboflow/maestro

  streamline the fine-tuning process for multimodal models: PaliGemma, Florence-2, and Qwen2-VL

  Language:Python1.4k2018102

• jonstephens85/gaussian-splatting-Windows

  3D Gaussian Splatting for Real-Time Radiance Field Rendering - Detailed Windows Install & Usage Instructions

  Language:Python70914081

• geosolutions-it/MapStore2

  The solution to create and share maps, dashboards, geostories with 3D support on the web. And it is open-source too!

  Language:JavaScript517344.5k404

• zsylvester/segmenteverygrain

  A SAM-based model for instance segmentation of images of grains

  Language:Jupyter Notebook477181255

• Yarroudh/segment-lidar

  Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.

  Language:Python343122036

• cogeotiff/rio-cogeo

  Cloud Optimized GeoTIFF creation and validation plugin for rasterio

  Language:Python3184313543

• ViTAE-Transformer/SAMRS

  The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"

  Language:Python28943814

• Koldim2001/YOLO-Patch-Based-Inference

  Python library for YOLO small object detection and instance segmentation

  Language:Python27461614

• melaniewalsh/Intro-Cultural-Analytics

  Introduction to Cultural Analytics & Python, course website and online textbook powered by Jupyter Book

  Language:Jupyter Notebook260103789

• RamiKrispin/vscode-r

  A Tutorial for Setting R Development Environment with VScode, Dev Containers, and Docker

  Language:R250151131

• AgaMiko/bird-recognition-review

  A list of useful resources in the bird sound (song and calls) recognition, such as datasets, papers, links to open source projects and competitions

  23614034

• ColinFay/hexmake

  A Shiny App for Making Hex Stickers.

  Language:R1105824

• pangeo-data/cog-best-practices

  Best practices with cloud-optimized-geotiffs (COGs)

  Language:Jupyter Notebook811789

• ayushdabra/drone-images-semantic-segmentation

  Multi-class semantic segmentation performed on "Semantic Drone Dataset."

  Language:Jupyter Notebook711318

• LukasBommes/PV-Hawk

  Tool for the extraction and mapping of photovoltaics modules from IR drone videos of utility-scale PV plants (my PhD project)

  Language:Python6172016

• nasa/HLS-Data-Resources

  This repository provides guides, short how-tos, and tutorials to help users access and work with Harmonized Landsat Sentinel-2 (HLS) data.

  Language:Jupyter Notebook618617

• srimannarayanabaratam/land_cover_classification_unet

  This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification) with PyTorch implementation of UNet.

  Language:Jupyter Notebook451721

• SmartForest-no/Point2tree

  Language:Python40344

• loveswine/UNet_keras_for_RSimage

  This is a code of U-Net Semantic Segmentation for Remote Sensing Images,mainly for learning and communication

  Language:Python22203

• rodreras/awesome-mining-band-ratio

  A curated list of band ratios and mineral spectra signature aiming mineral exploration.

  22116

• designer1024/Single_Object_Aquaculture_Ponds_Extraction

  An Object-Oriented Method for Extracting Single-Object Aquaculture Ponds from 10 m Resolution Sentinel-2 Images on Google Earth Engine

  Language:Jupyter Notebook9101

• aimalrehman92/Multiclass-Semantic-Segmentation-with-U-NET

  Multiclass Semantic Segmentation using U-NET architecture on aerial drone imagery

  Language:Jupyter Notebook6200

• alexdjulin/running-events-map

  A map of race events I took part in, with gpx traces and pop-up race information, entirely generated from a google spreadsheet.

  Language:HTML6100

• gopiashokan/Bird-Sound-Classification-using-Deep-Learning

  Engineered a robust deep learning model using Convolutional Neural Networks and TensorFlow to classify 114 bird species based on audio recordings. Model achieved an impressive accuracy of 93.4%, providing valuable insights for conservationists and ecologists in the wildlife & ecological research sectors.

  Language:Jupyter Notebook5104

• fabianfassnacht/PyTorch_Unet_Geotiff_Tutorial

  A tutorial explaining how to run a unet segmentation in PyTorch using Geotiffs as input

  Language:Python41

• ramiqcom/deep-learning-lc-unet

  Language:Jupyter Notebook43

• chrieke/prettymaps

  A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

  Language:Jupyter Notebook120