deep learning
Projects with this topic
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Yolov5-segmentation identity card detection and rotation with the NCNN and OpenCV framework.
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✭ MAGNETRON ™ ✭: YOLOv5
🚀 in PyTorch > ONNX > CoreML > TFLiteUpdated -
Implementation of Movement Aid for the Visually-Impaired by Using CNN based Learning Architecture
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Workshop zu Machine Learning (Deep Learning) für Informatiker unter Verwendung von fast.ai (PyTorch) und Jupyter Notebooks.
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A project focused on weather classification using advanced deep learning techniques, specifically leveraging TensorFlow and a custom Convolutional Neural Network (CNN). The project involved the integration of four diverse weather datasets, namely ACDC, MWD, UAVid, and Syndrone, covering various weather conditions, including clear sky, cloudy, rainy, and sunny weather. Developed a custom CNN architecture using TensorFlow's Keras API, incorporating convolutional layers for feature extraction and dense layers for classification.
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This is the unpaired image-2-image and volume-2-volume translation project. It converts images or volumes of an input domain to a target domain using artificial intelligence.
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An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.
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Master thesis - Deep learning-based pairwise alignment of protein sequences using transformer architecture.
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Code developed for the thesis: "Stabilization methods for transport dominated problems enhanced by Artificial Neural Networks: towards turbulence LES modeling".
Author: Tommaso Tassi
MOX, Department of Mathematics, Politecnico di Milano, 2021.
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A golang microservice for predicting next frame using tensorflow serving
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https://dec0ded.gitlab.io/teardrop | Algorithms and models made for Machine Learning in Python programming language.
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Spyros Mouselinos Reasearch Blog
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Semen analysis is an integral part of Invitro Fertilization also known as IVF. We trained a spatial temporal 3D convolutional neural network to predict sperm motility from videos along with other tabular data.
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Project of the paper "Sound Event Detection for Human Safety and Security in Noisy Environments".
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Implementation and Analysis of a NN-based pressure predictor for Eulerian Fluid Simulation. Training includes the solver itself and aims to produce a result that can be fed back into the solver to achieve high accuracy in relatively few iterations.
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A Machine Learning approaches to identify genetic variants associated with disease
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The frontend for SmartIntentNN
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The deep learning model and backend of SmartIntentNN
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