Statistics for topic convolutional-neural-networks
RepositoryStats tracks 641,237 Github repositories, of these 574 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 (156), C++ (19)
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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...
[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
[CVPR 2025 Oral] OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels
Waste classification model to categorize waste accurately and easily.
Attention temporal convolutional network for EEG-based motor imagery classification
Techniques for deep learning with satellite & aerial imagery
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
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
Waste classification model to categorize waste accurately and easily.
An open-source deep learning framework for data mining of protein-protein interfaces or single-residue variants.
Attention temporal convolutional network for EEG-based motor imagery classification
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Techniques for deep learning with satellite & aerial imagery
[CVPR 2025 Oral] OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels
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
Attention temporal convolutional network for EEG-based motor imagery classification
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...
[ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.
GUI application for Anime4K shaders which allows to save upscaled video to disk
(IJCV 2024) Self-Supervised Scalable Deep Compressed Sensing [PyTorch]