Convolutional-neural-networks Libraries

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Convolutional-neural-networks Libraries

A curated list of Best Artificial Intelligence Resources

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

Most of the previous works in visual understanding, rely solely on understanding the "what" (e.g., object recognition) and "where" (e.g., event localization), which in some cases, fails to describe…

PyTorch tutorial for computer vision

This repository contains code for two PyTorch tutorials available on myGlass Box blog. Tutorial links:

[IEEE TCYB 2021] Official Python implementation for Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network

With the development of Earth observation technology, very-high-resolution (VHR) image has become an important data source of change detection. Nowadays, deep learning methods have achieved conspicuo…

Tutorials on machine learning, artificial intelligence, data science with math explanation and reusable code (in python and R)

Moreover, you may find here some Colab notebooks without a theoretical tutorial (yet). I decided to upload the code before I finished writing the theoretical part (this would be indicated). I am co…

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision co…

Deep-Learning-Image-Classification-Models-Based-CNN-or-Attention

This project organizes classic images classification neural networks based on convolution or attention, and writes training and inference python scripts

This project organizes classic Neural Networks based convolution or attention mechanism, in order to solve image classification. This readme is introduced in Chinese (including most of the comments i…

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