Alabenba

ASG

Open category classification by adversarial sample generation

Deep-Learning-Framework-for-Multi-modal-Product-Classification

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

EDSR-tensorflow2

EDSR implementation in tensorflow 2

GAN-RNN_Timeseries-imputation

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

multimodal-classification-1

Multimodal-Image-Classifier

Image classifier for multimodal input (Image + non-Image features). Useful when we have additional data for images which may be useful for classification

opennet

Code for research paper "Learning a Neural Network based Representation for Open Set Recognition" M. Hassen, P. K. Chan

tensorflow-nlp

Building blocks for NLP and Text Generation in TensorFlow 2.x / 1.x

tf-hrnet

tensorflow implementation for "High-Resolution Representations for Labeling Pixels and Regions"

vision

Datasets, Transforms and Models specific to Computer Vision

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-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

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)

End2End_GAN

Conditional GAN based End-to-End Communication System

Incremental-Multiclass-Open-set-Audio-Recognition

Keras-Multi-Label-Image-Classification

Keras- Multi Label Image Classification

leaf

Leaf: A Benchmark for Federated Settings

OCDVAEContinualLearning

Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

OSDN-1

Keras implementation for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

plotoptix

Data visualisation in Python based on OptiX 7.2 ray tracing framework.

rdosr

Representative-Discriminative Open-set Recognition

Signal_detection_OFDMPowerofDNN

MATLAB demonstration for the paper 'Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems'

Taming-Stable-Diffusion-with-Human-Ranking-Feedback

This is the official repo for the paper "Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles", Tang et al. https://arxiv.org/abs/2303.03751

TensorFlow2.0-Examples

🙄 Difficult algorithm, simple code.

TSP_CL