Popular GitHub Repositories for Marine Protected Areas

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Nodes for better inpainting with ComfyUI: Fooocus inpaint model for SDXL, LaMa, MAT, and various other tools for pre-filling inpaint & outpaint areas.

A list of recent papers about Graph Neural Network methods applied in NLP areas.

A curated list of different papers and datasets in various areas of audio-visual processing

《照片修复小小助手》是一款基于微信AI能力的微信小程序，实现了图片选定区域的消除修复功能，纯客户端实现，无服务端。Inpaint_wechat is a WeChat mini-program based on the WeChat AI capabilities, implementing the functionality of inpainting and repairing selected areas in images, which is purely implemented by the client and has no server.

Want to remove something(someone) from a photo as it never was there? This is .NET implementation of content-aware fill. It smartly fills in unwanted or missing areas of photographs.

An attempt to map the areas with active conflict in Ukraine using twitter data and NLP.

This deep learning application can detect Facial Keypoints (15 unique points). They mark important areas of the face - the eyes, corners of the mouth, the nose, etc.

We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the image.

A CNN based image segmentation tool oriented to marine data analysis

[沧渊] [ACL 2024] OceanGPT: A Large Language Model for Ocean Science Tasks

Real-time AI-assisted killer whale notification system (model and moderator portal) :star:

100+ favorite papers from the fields of robotics, autonomous driving, and related areas, updated continuously.

Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradients. To achieve robustness to users dropping out, existing practical privacy-preserving federated learning schemes are based on (t, N)-threshold secret sharing. Such schemes rely on a strong assumption to guarantee security: the threshold t must be greater than half of the number of users. The assumption is so rigorous that in some scenarios the schemes may not be appropriate. Motivated by the issue, we first introduce membership proof for federated learning, which leverages cryptographic accumulators to generate membership proofs by accumulating users IDs. The proofs are issued in a public blockchain for users to verify. With membership proof, we propose a privacy-preserving federated learning

A collection of resources on machine learning, data processing and related areas

Deep Learning based web application to automate tree enumeration in forest areas using satellite imagery.

Preschool evaluation is crucial because it gives teachers and parents influential knowledge about children's growth and development. The COVID-19 pandemic has highlighted the necessity of online assessment for preschool children. One of the areas that should be tested is their ability to speak. Employing an Automatic Speech Recognition (ASR) system would not help since they are pre-trained on voices that differ from children's in terms of frequency and amplitude. Because most of these are pre-trained with data in a specific range of amplitude, their objectives do not make them ready for voices in different amplitudes. To overcome this issue, we added a new objective to the masking objective of the Wav2Vec 2.0 model called Random Frequency Pitch (RFP). In addition, we used our newly introduced dataset to fine-tune our model for Meaningless

NASA Project; Plastic Marine Debris Classification-Machine Learning Software

Code for our paper "AUTO-IceNav: A Local Navigation Strategy for Autonomous Surface Ships in Broken Ice Fields".

PedSimCity is an Agent-Based Model for pedestrian movement simulation in urban areas