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30-days-of-javascript

30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

a-deeply-supervised-image-fusion-network-for-change-detection-in-remote-sensing-images

Official implement of Paper：A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sening images

adaptive_recurrent_graph_neural_network

This code was used for the paper A Recurrent Graph Neural Network for Multi-Relational Data by Vassilis N. Ioanndis, Antonio G. Marques, and Georgios B. Giannakis, available in arxiv

advance-house-price-prediction

Advance House Price Prediction

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

advanced-house-price-prediction-

advanced-machine-learning-national-research-university-higher-school-of-economics

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

aggcn

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

ai-for-medical-diagnosis

This repo contain my assignment notebooks for the Coursera AI for Medicine Specialization course. The link to the course: https://www.coursera.org/specializations/ai-for-medicine

ai-for-medicine-specialization

AI for Medicine Specialization - Coursera offered by deeplearning.ai

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

albrt

Cellular Composition Prediction in Routine Histology Images

althap

MATLAB and Python code for AltHap

applied-deep-learning-with-keras

Deep Learning examples with Keras.

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

awesome-efficient-gnn

Efficient Graph Neural Networks - a curated list of papers and projects

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-graph-self-supervised-learning

Awesome Graph Self-Supervised Learning

awesome-network-embedding

A curated list of network embedding techniques.

awesome-project-ideas

Curated list of Machine Learning, NLP, Vision Project Ideas

awesome-remote-sensing-change-detection

List of datasets, codes, and contests related to remote sensing change detection

awesome-scene-change-detections

A curated list of datasets, codes, and papers related to scene change detection.

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

awesome-self-supervised-learning-for-graphs

A curated list for awesome self-supervised learning for graphs.

awesome-self-supervised-papers

Paper bank for Self-Supervised Learning

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

aws-machine-learning-university-accelerated-nlp

baby-steps-of-keras-deep-learning