Brain tumour detector built with YOLOv8 model.
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Updated
May 25, 2024 - Jupyter Notebook
Brain tumour detector built with YOLOv8 model.
Augmenting Time Series Datasets with Weighted Elastic Barycenter Averaging
Environment Sound Classification with Deep Learning using Hardware Aware - Neural Architecture Search
A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
A generalizable application framework for segmentation, regression, and classification using PyTorch
Generative modeling of synthetic time series data and time series augmentations
Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).
A python library for instagram filters
A summary of python tasks made for my thesis project @ AAU
Medical imaging toolkit for deep learning
An open-source library for recognition of speech commands in the user dictionary using audiovisual data of the speaker
[ICML24] BAT: Balanced Topological Augmentation for Class-imbalanced Node Classification | 纯拓扑视角下的类别不平衡节点分类
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
Detecting and diagnosing various skin lesions using CNN
MedViLL code with improved performance using data augmentation (from SuperSupermoon/MedViLL)
KopikatAPI is Python library for interacting with the Kopikat API.
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
Develop a classifier to differentiate between real and AI-generated images of damaged cars, identifying actual accidents from fraudulent ones.
This project is a deep learning model built with PyTorch that classifies images into two categories: cats and dogs.
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