Statistics for topic convolutional-neural-networks
RepositoryStats tracks 643,863 Github repositories, of these 575 are tagged with the convolutional-neural-networks topic. The most common primary language for repositories using this topic is Python (338). Other languages include: Jupyter Notebook (157), C++ (19)
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PyTorch implementation of the U-Net for image semantic segmentation with high quality images
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers...
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...
A sign language interpreter using live video feed from the camera.
Comprehensive LaTeX-based deep learning guide with custom TikZ illustrations
MIST: A simple and scalable end-to-end framework for 3D medical imaging segmentation.
[CVPR 2025 Oral] OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels
A sign language interpreter using live video feed from the camera.
InceptionNeXt: When Inception Meets ConvNeXt (CVPR 2024)
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Techniques for deep learning with satellite & aerial imagery
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers...
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...
Comprehensive LaTeX-based deep learning guide with custom TikZ illustrations
[CVPR 2025 Oral] OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels
MIST: A simple and scalable end-to-end framework for 3D medical imaging segmentation.
Car Model classification using Stanford Cars Dataset for Grab AI For Sea challenge on computer vision (https://www.aiforsea.com/computer-vision)
Scripts and modules for training and testing neural network for age prediction from the ECG. Companion code to the paper "Deep neural network-estimated electrocardiographic age as a mortality predicto...
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
[CVPR 2025 Oral] OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels
Techniques for deep learning with satellite & aerial imagery
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...
[CVPR 2025 Oral] OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels
Comprehensive LaTeX-based deep learning guide with custom TikZ illustrations
A Flexible and Energy Efficient Accelerator For Sparse Convolution Neural Network
MIST: A simple and scalable end-to-end framework for 3D medical imaging segmentation.
An open-source deep learning framework for data mining of protein-protein interfaces or single-residue variants.
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels...
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
[CVPR 2025 Oral] OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels
This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.
A Flexible and Energy Efficient Accelerator For Sparse Convolution Neural Network
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Techniques for deep learning with satellite & aerial imagery
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...
A MNIST-like fashion product database. Benchmark :point_down:
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels...
This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.
[ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
GUI application for Anime4K shaders which allows to save upscaled video to disk
(IJCV 2024) Self-Supervised Scalable Deep Compressed Sensing [PyTorch]