725 Open source projects that are alternatives of or similar to Online-Category-Learning

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

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High-quality Neural Networks for Computer Vision 😎

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Linguistica 5: Unsupervised Learning of Linguistic Structure

Image Test Time Augmentation with PyTorch!

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

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LUNA16-Lung-Nodule-Analysis-2016-Challenge

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ShuffleNet Implementation in TensorFlow

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Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

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Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

Curated Tensorflow code resources to help you get started with Deep Learning.

An unsupervised Chinese word segmentation tool.

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

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PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

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Object classification with CIFAR-10 using transfer learning

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[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

The repository provides usefull python scripts for ML and data analysis

Kaggle | 1st place solution for Freesound Audio Tagging 2019

Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow

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新浪微博情感分析应用

Convolutional AutoEncoder application on MRI images

Minimalistic Multiple Layer Neural Network from Scratch in Python.

A list of useful resources in the bird sound (song and calls) recognition, such as datasets, papers, links to open source projects and competitions

Various methods for generating synthetic data for data science and ML

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

PAPC is a deep learning for point clouds platform based on pure PaddlePaddle

Machine Learning in R

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.

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A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

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Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017