Monkey Species Image dataset for fine-grain classification using a convolutional neural network
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Updated
May 21, 2024 - Jupyter Notebook
Monkey Species Image dataset for fine-grain classification using a convolutional neural network
sciBASIC# is a kind of dialect language which is derive from the native VB.NET language, and written for the data scientist.
Various codes and scripts used during AI research. Orginally developed in the Binary_label_predictions_with_CNNs repository
Various codes and scripts used during AI research, all neatly organised
Graduation Project
This collection of notebooks is based on the Dive into Deep Learning Book. All of the notes are written in Pytorch and the d2l/torch library
The official code of "CSTA: CNN-based Spatiotemporal Attention for Video Summarization"
Computer Vision and NLP techniques are combined (CNN & LSTM) to understand the content of an image and generate a coherent and relevant description
A deep learning project using PyTorch to classify brain tumors from MRI images into categories like No Tumor, Pituitary, Glioma, and Meningioma.
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
A simple convolutional neural network for fingerprint classification. The FVC2002 dataset was used in this project.
Projects for Neural Networks course, Shahid Beheshti University, Fall 2020
Develop a deep learning-based model utilizing a fully connected convolutional neural network (CNN) to predict bone age from left-hand radiographs.
Chest CT Scan Image Classification
Paint2code - a lightweight tool designed to transform your hand-drawn sketches into functional HTML code.
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