deep learning
Projects with this topic
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PDE-based Group Equivariant CNNs for PyTorch
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Repository to generate synthetic MRI from q*MRI maps with deep learning physics-informed approached as described by Jacobs Luuk et al. Medical Physics 2023 "Generalizable synthetic MRI with physics-informed convolutional networks".
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Code for Graph Representation of 3D CAD models for Machining Feature Recognition with Deep Learning paper. This is an approach using graph neural networks to learning from planar B-Rep CAD models.
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The frontend for SmartIntentNN
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This project is a re-implementation of FeatureNet using Tensorflow 2. With working segmentation code.
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Image, Deep Learning, Ecology : please visit https://ecostat.gitlab.io/imaginecology/
A curated list of deep learning resources for computer vision in the context of ecology
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Final project of course ML junior by Skillbox. Goal: Build model to predict client's loan default. Metrics: ROC-AUC
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Pipeline for deep learning network construction of host pathogen interaction (DLNet-HPI).
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Protocol for network and expression integration to identify potential defense gene in host-pathogen interactions
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Master thesis - Deep learning-based pairwise alignment of protein sequences using transformer architecture.
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Predicting pathogenic potentials of short DNA reads with reverse-complement deep neural networks.
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Prediction of age from X-Ray images of hand bones using deep learning models. We used 3 models: Shallow, ResNet50, and InceptionV4. The best result achieved was with a mean absolute error of 10 months using InceptionV4. The preprocessing of data included computer vision techniques like CLAHE filter and reducing channels, and also creativities such as using the Google MediaPipe library to detect hands and crop on them.
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Detector reconstruction of gamma-rays using deep learning.
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A Machine Learning approaches to identify genetic variants associated with disease
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This is the Python script which runs on Spud's Head Nano to detect faces. It communicates with other processors via ethernet.
This project was seeded by Mike Soniat's example. The first commit is Soniat's unmodified project.
See Soniat's files 'AI Face Following.pptx', 'AI Face Following.mov', and 'AI Face Following with Jetson Nano.mov' in the repository for more info.
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This is a project to train, use and analyze 2D and 3D neural networks for segmentation. It contains a UI and is implemented in pytorch and django as backend.
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Neural Network software for identifying atoms and atomic columns in High Resolution Transmission Electron Micrographs (HRTEM)
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