xhappiness88

xhappiness88's Stars

• deepseek-ai/DeepSeek-R1

  87.3k11.3k

• deepseek-ai/DeepSeek-V3

  Language:Python93k15.1k

• arunimasen/Predicting-Wildfires

  A code written in MATLAB to detect wildfires using drones.

  1

• ahmetmira/MasterProject

  Enhancing Forest Fire Detection in Satellite Imagery Using Vision Transformers Techniques

  Language:Jupyter Notebook1

• daimakram/Forest-Fire-Detection

  This project builds up on existing implementation of deformable DETR and allows fine tuning detection transformer on Forest Fire Framwork.

  Language:Python2

• EdoWhite/ViT-Forest-Fire-Detection

  Computer Vision project focused on detecting smoke and fire in wild environments. The Google Vision Transformer was fine-tuned on a custom dataset.

  Language:HTML101

• Wickypolineni/NASA_SPACE_APPS

  Our project combines cutting-edge satellite communication and drone technology, seamlessly integrated with powerful machine learning algorithms. We're on a mission to predict and surveil wildfires with precision, protecting our precious forests and wildlife. 🌲🔥🚀 #WildfireWatch #TechForGood

  Language:JavaScript1

• asathiya007/hotspot

  HotSpot is a machine learning tool that uses computer vision to detect wildfires in aerial images captured by planes, drones, satellites, etc., and enable authorities to take action early to contain and put out the wildfires, prevent and mitigate the damage, and save countless lives. This was inspired by California's wildfire crisis in August 2020.

  Language:JavaScript2

• asathiya007/hotspot-api

  HotSpot is a machine learning tool that uses computer vision to detect wildfires in aerial images captured by planes, drones, satellites, etc., and enable authorities to take action early to contain and put out the wildfires, prevent and mitigate the damage, and save countless lives. This was inspired by California's wildfire crisis in August 2020.

  Language:Jupyter Notebook2

• carminesh/aws-serverless-deep-learning-model

  The Wildfire Prediction System is a cloud-based application designed to predict wildfires from satellite images using a custom Convolutional Neural Network (CNN). Leveraging AWS serverless infrastructure through the use of Terraform and modern web technologies

  Language:Jupyter Notebook2

• kmd6225/Forest-Fire-Detection-Deep-Learning

  Scraping the web for satellite images and then training a convolutional neural network on the images to detect wildfires.

  Language:PureBasic21

• Fenixhack/firelog

  Centralized REST API for the detection of wildfires based on NASA's satellite data

  Language:JavaScript2

• PraneethaBalanagu/Wildfire-detection-and-alert-system

  Satellite images are captured and analysed through CNN models , when there is a fire attack in wild life , immediate message and notifications are sent to corresponding fire dept officials

  Language:Jupyter Notebook1

• zhaoyutim/TS-SatFire

  Official Repo for Time-series Satellite Imagery dataset for wildfire detection and prediction.

  Language:Python121

• Valkari33/Valkari33.github.io

  This is my website to showcase how to use satellite imagery for detecting wildfire and perform analysis on the wildfire event

  Language:CSS1

• anonymoususer388/TS-SatFire

  Time-Series Multi-Task Satellite Imagery Dataset for Wildfire Detection and Prediction

  Language:Python1

• ananya-ayasi/2022_IBM_Code_Challenge_Wildfire-Detection-and-Burn-Severity-Analysis

  Wildfire Detection And Burn Severity Analysis Using UAV And Satellite Imagery

  Language:Jupyter Notebook21

• ahnafhabibi/Wildfire-prediction

  This is a app where you can upload a satellite image of a region and get prediction of Wildfire or not.

  Language:Jupyter Notebook1

• AbdoWael2003/Beyond-Earth

  Wildfire Detection AI: A streamlined tool using AI to analyze satellite images for rapid wildfire identification.

  Language:Jupyter Notebook1

• feliuserra/wildfires_vegetation_recovery_fda

  Wildfires Vegetation Recovery through Satellite Remote Sensing and Functional Data Analysis

  Language:R1

• Joshuaweg/Firelens

  This is a pytorch Machine Learning Project where satellite images are analyzed to determine the presence of smoke and wildfires

  Language:Python4

• gurveervirk/wildfire-detection-in-satellite-image-ViT

  Finetuned Google's ViT base for wildfire detection

  Language:JavaScript12

• stavrosl8/Fire-Project-Analysis

  A satellite approach for investigating Evros wildfire

  Language:Python1

• Sidharth-Saji/WildFire_Monitoring_Using_Satellite_Image

  Wild Fire Detection Website Using Satellite Images

  Language:Jupyter Notebook3

• desheng-liu/Satellite-Imagery-Analyzer-Early-Wildfire-Detection

  The AI/ML training model for wildfire and object detection is designed to analyze satellite imagery and detect instances of wildfires and objects within the images -- it leverages cutting-edge technologies such as geoJSON, numpy, torch, kubernetes.client.models, and kfp_tekton to achieve accurate and efficient results.

  Language:Jupyter Notebook2

• AnjaliS2021/WildfireDetection

  The purpose is to curate satellite imagery based tensorflow dataset for ML model based wildfire detection.

  Language:Jupyter Notebook1

• Silvano315/Wildfire_Prediction_with_Satellite_Images

  This project aims to explore satellite image dataset in order to create a CNN model for wildfire prediction problem. Explainability with ELI5 and GradCAM could be an interesting integration to be tested.

  Language:Jupyter Notebook1

• rafaelstankiewicz/Wildfire

  Exploring Vision Transformer and CNN architectures to predict high wildfire risk areas using satellite imagery.

  Language:Jupyter Notebook11

• stevengxu/Wildfire-Detection-Using-RPCA

  Wildfire Detection Using Streaming Satellite Imagery

  Language:Jupyter Notebook2

• KellyP5/Bushfire-Notifier

  NASA VIIRs satellite wildfire notification system

  Language:HTML1