AI-Assisted Radiographic Analysis: A Semi-Supervised Approach for Surgical Implant Detection and Dataset Standardization
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Updated
May 26, 2024 - Python
AI-Assisted Radiographic Analysis: A Semi-Supervised Approach for Surgical Implant Detection and Dataset Standardization
[ICLR 2024] Supervised Pre-Trained 3D Models for Medical Image Analysis
This is a project focused on identifying the presence of pneumonia in chest X-ray images. Each image can be classified into one of three categories: Bacterial Pneumonia, Viral Pneumonia, or Normal.
Computer vision deep learning project classifying 10 classes of food images with 90% accuracy, built with TensorFlow.
Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.
Detecting Deepfake Human Face Images Using Transfer Learning: A Comparative Study
This project's aim is to categorize retail products from their images. MobileNetV2 model fine-tuned with 18K retail product images accross 9 categories. Project deployed with Flask and containerized via docker
A CNN classifier that classifies whether the eye in the given image is closed or not in order to predict whether a person is drowsy or not
Files relevant for my bachelor thesis on different automatic emotion recognition approaches
All Assignments of the course, Statistical Methods in AI, in IIITH, Monsoon 2024
autoupdate paper list
ECCV 2022 Workshop: AI-enabled Medical Image Analysis – Digital Pathology & Radiology/COVID19 : An easy-to-understand and lightweight Transfer Learning-based solutions for COVID-19 diagnosis
From Python basics to Machine Learning and PyTorch Deep Learning - one day at a time, explore it all
Code & research description to be presented at the 2024 Family History Technology Conference. Research and Development on a tool to find document images where manuscript waste (a.k.a. binder's waste) was used to bind other documents. Info from reused manuscripts can relate to genealogy and/or MS studies, and is extensible to finding, e.g. repairs.
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This is a meta-model distilled from ChatGPT-3.5-turbo for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
Created conversational chatbot using GooglePaLM and HuggingFace model.
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