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aaai19-openworld

Paper and video of Senior member suvey talk from AAAI19 talk on Openworld. (Email for ppt)

asg

Open category classification by adversarial sample generation

autonovel

"Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman (ICLR 2020)

awesome_opensetrecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

bert-for-sequence-labeling-and-text-classification

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

centernet-deep-sort

realtime multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)

cnn-for-sentence-classification-in-keras

Convolutional Neural Networks for Sentence Classification in Keras

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cnn_airplane-lake_classify

Classification of satellite images using CNN

counterfactual-open-set

Counterfactual Image Generation

dataset

Open RadioML Synthetic Benchmark Dataset

deep-learning-framework-for-multi-modal-product-classification

Code repository for Rakuten Data Challenge : Multimodal Product Classification and Retrieval .

deep_openset_recognition_through_uncertainty

PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

dtc

"Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)

edsr-tensorflow2

EDSR implementation in tensorflow 2

end2end_gan

Conditional GAN based End-to-End Communication System

examples

Useful RadioML Examples

extremevaluemachine

This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.

fc-densenet-tensorflow

Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.

gan-rnn_timeseries-imputation

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

image_classification

KERAS: Unimodal(RGB) and Multimodal(RGB, NIR) image classification

incremental-multiclass-open-set-audio-recognition

indian_pines_classification

A simple classifier using CNN with keras to classify Indian pines Hyperspectral Image

keras-multi-label-image-classification

Keras- Multi Label Image Classification

ldamp_based-channel-estimation

This code is for the following paper: H. He, C. Wen, S. Jin, and G. Y. Li, “Deep learning-based channel estimation for beamspace mmwave massive MIMO systems,” IEEE Wireless Commun. Lett., vol. 7, no. 5, pp. 852–855, Oct. 2018.

leaf

Leaf: A Benchmark for Federated Settings

multimodal-autoencoder-for-breast-cancer

Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data

multimodal-classification

multimodal-classification-1