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02456-deep-learning

Exercises and supplementary material for the deep learning course 02456.

abnormality-detection

acmr_demo

adversarial_personalized_ranking

Adversarial Learning, Matrix Factorization, Recommendation

adversarial_text

Code for Adversarial Training Methods for Semi-Supervised Text Classification

agc-master

age

Active Learning for Graph Embedding

aisafety

algorithms-huffman

哈夫曼编码解码算法的实现

amazoncaptcha

Amazon验证码机器学习破解

amnre

Source code and dataset for COLING2018 paper "Adversarial Multi-lingual Neural Relation Extraction".

app-dl

Deep Learning and applications in Startups, CV, Text Mining, NLP

attention

some attention implements

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

author2vec

autoencoders_public

Automatic feature engineering using deep learning and Bayesian inference.

awesome-graph-embedding

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-network-embedding

A curated list of network embedding techniques.

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome-self-supervised-learning-for-graphs

A curated list for awesome self-supervised learning for graphs.

awesomefakenews

This repository contains recent research on fake news.

basic-multi-task-learning

This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow

basic-yolo-keras

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

bert-enn

Uncertainty-Aware Reliable Text Classification (KDD 2021)

btm

Code for Biterm Topic Model (published in WWW 2013)

burstybtm

Code for Bursty Biterm Topic Model (published in AAAI2015)

caffe

Caffe on both Linux and Windows

cane

Source code and datasets of "CANE: Context-Aware Network Embedding for Relation Modeling"