973 Open source projects that are alternatives of or similar to Pytorch Randaugment

3D image classification using CNN (Convolutional Neural Network)

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Selective Classification For Deep Neural Networks.

Online feature-extraction and classification algorithm that learns representations of input patterns.

Outdated, see new https://github.com/braindecode/braindecode

Deep learning for the automated spectral classification of supernovae

Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these methods on VOC and KITTI.

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Simple machine learning library / 簡單易用的機器學習套件

Using deep learning to perform action recognition in the sport of tennis.

Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"

various cv tools, such as label tools, data augmentation, label conversion, etc.

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Conceptual & empirical comparisons between decision forests & deep networks

A Tool for Automatic Analysis of Malware Behavior

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

Clusters and elements to attach to MISP events or attributes (like threat actors)

Realtime Multi-Person Pose Estimation data server. Used as a training and validation data provider in training process.

MiraPy: A Python package for Deep Learning in Astronomy

This is an simple example of tagging bank transactions with ML.NET

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

Data Augmentation for Neural Machine Translation

Classification of WAV files from cats and dogs

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Official repository for "Orthogonal Projection Loss" (ICCV'21)

Some parts of my code for the Computer Vision Kaggle Bengali AI Handwritten Grapheme Classification competition

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Artificial Neural Network

A image registration method using convolutional neural network features.

Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.

Augmenty is an augmentation library based on spaCy for augmenting texts.

Simple and comprehensive tutorials in TensorFlow

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

Segmentation models with pretrained backbones. PyTorch.

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Convolutional Neural Network to classify images as either cat or dog, along with using attention heatmaps for localization. Written in python with keras.

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

R package to Embed All the Things! using StarSpace

CLANA is a toolkit for classifier analysis.

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Comparison of famous convolutional neural network models

Keras implementation of a ResNet-CAM model

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. The repository combines a class agnostic object localizer to first detect the objects in the image, and next a ResNet50 model trained on ImageNet is used to label each box.

Deploy transformers serverless on AWS Lambda

An open-source, low-code machine learning library in Python

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

Python Machine Learning Algorithms

Velocity in deep-learning research

Augmenting Room Impulse Response

An implementation of multivariate projection pursuit regression and univariate classification

High-level batteries-included neural network training library for Pytorch

BCDU-Net : Medical Image Segmentation