bunnysaini/Disaster-Classificiation
To prepare an image processing model to classify the type of disaster based on the image dataset.
This dataset contains images for each disaster. Images are placed in folders with disaster name. Images with no damage are also available, for model training purposes. https://www.kaggle.com/varpit94/disaster-images-dataset
Jesse optuna Only works with the dashboard version / branch of jesse. The config.yml should be self-explainatory. Installation # install from git pip
BERT Got a Date: Introducing Transformers to Temporal Tagging Satya Almasian*, Dennis Aumiller*, and Michael Gertz Heidelberg University Contact us vi
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CMPC-Refseg Code of our CVPR 2020 paper Referring Image Segmentation via Cross-Modal Progressive Comprehension. Shaofei Huang*, Tianrui Hui*, Si Liu,
Raspberry Pi Air Quality Monitor A simple air quality monitoring service for the Raspberry Pi. Installation Clone the repository and run the following
E2VID_ROS Introduce We extend E2VID to a real-time system. Because Python ROS ca
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Dynamic View Synthesis from Dynamic Monocular Video Project Website | Video | Paper Dynamic View Synthesis from Dynamic Monocular Video Chen Gao, Ayus
Automatic_Background_Remover A Web API for automatic background removal using Deep Learning. App is made using Flask and deployed on Heroku. 👉 https:
P3ntsT00L Uma ferramenta escrita em Python, feita para Teste de intrusão. Requisitos ter o python 3.9.8 instalado em sua máquina. ter a git instalada
SiD - Simple Deep Model Vectorwise Interpretable Attentions for Multimodal Tabul
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