Neuroimaging Informatics Technology Initiative (NIfTI) RM (T1w & T2-FLAIR) segmentation of epilectic seizures using YOLOv8
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Updated
May 19, 2024 - Python
Neuroimaging Informatics Technology Initiative (NIfTI) RM (T1w & T2-FLAIR) segmentation of epilectic seizures using YOLOv8
This is a warehouse for DLinear-Pytorch-model, can be used to train your text dataset for time series forecasting tasks.
The third phase of the 'Deep Learning' course I took on Udemy.
Profile Face Recognition project
A suite of Python scripts allowing the end-user to use Deep Learning to detect objects in georeferenced raster images.
Unsupervised video summarization with deep(GAN) reinforcement learning
Dock2D: Synthetic datasets for the molecular recognition problem
Funciones utilles para PyTorch.
This project uses TinyVGG and Streamlit to classify handwritten digits.
This project encompasses a series of modules designed to facilitate the creation, training, and prediction using a PyTorch CNN Neural Network for Image classification based on the CIFAR10 dataset.
A Method to Improve Any ECG Denoising Technique In limb leads
Simple CNN classification example using pytorch. Training, exporting from pytorch to onnx and inference both pytorch and onnxruntime.
To model colour patterns used by various artists in their works in abstract art
Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)
Spot Distracted Drivers using PyTorch
Implementation of a deep learning model based on the VGG16 neural network to track faces in a video or with a camera in real time.
Robotics, Copelia, Machine Learning
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
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