1617 Open source projects that are alternatives of or similar to Fast Autoaugment

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

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Effective Video Augmentation Techniques for Training Convolutional Neural Networks

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iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

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collecting related resources of automated machine learning here

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💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻

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A simplified version of featuretools for Spark

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

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Best Practices, code samples, and documentation for Computer Vision.

An open source python library for automated feature engineering based on Genetic Programming

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Unofficial PyTorch Reimplementation of RandAugment.

Implementation of a hierarchical CNN based model to detect Big Five personality traits

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Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

food image to recipe with deep convolutional neural networks.

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AutoML library for deep learning

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a distributed Hyperband implementation on Steroids

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An open source python library for automated feature engineering

Automated Machine Learning with scikit-learn

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

A photo OCR project aims to output DMS messages contained in sign structure images.

Implementation of Quickdraw - an online game developed by Google

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

This toolbox is support material for the book on CNN (http://www.convolution.network).

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Google Street View House Number(SVHN) Dataset, and classifying them through CNN

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