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ترجمه زیرنویس دوره یادگیری ماشین Andrew Ng دانشگاه استنفورد
An open source implementation of the SALICON saliency model
Reimplementation of SALICON saliency model in TensorFlow
Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
gazeGenNet - generating synthetic eye-tracking data
PathGan: Visual Scan-path Prediction with Generative Adversarial Networks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Tutorials with YouTube Videos
Smart Library to load image Dataset for Convolution Neural Network (Tensorflow/Keras)
Replication of the paper "Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference" - Yarin Gal, Zoubin Ghahramani
Active Learning on Image Data using Bayesian ConvNets
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification
A web-based integrated machine learning framework for autism spectrum disorder prediction; written in Python.
Whole genome predictive analysis for autism using machine learning
Detecting ASD with Models Trained on EEG/IRT Data
Interactive Timetable - Интерактивное расписание для детей с расстройствами аутического спектра / Interactive timetable for autists
Repositório referente ao projeto final com o tema de diagnóstico de autismo da matéria de Ciência e Visualização de Dados em Saúde na UNICAMP desenvolvido por Gabriela Servidone, Felipe Labate e Th…
Detecting Autism Spectrum Disorder in Children With Computer Vision - Adapting facial recognition models to detect Autism Spectrum Disorder
👩🏻⚕️ Cross-Platform Autism screening using Keras API
Learning the visual patterns of eye-tracking to predict Autism Spectrum Disorder (ASD)
Predicts Autism Spectrum Disorder (ASD) in infants
Machine Leaning Approaches for Classification of Children with Autism Spectrum Disorder
This project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of th…
Running various MACHINE LEARNING algorithms and comparing their performance
This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would…