qss2012 Goto Github PK

man

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

masking

NeurIPS'18: Masking: A New Perspective of Noisy Supervision

master-thesis-bayesiancnn

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

matlab_tripletloss

Matlab_TripletLoss

mcrec

Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"

memgcn

Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network (ICDM 2018 full paper)

message_passing_graph_kernels

meta-transfer-learning-tensorflow

TensorFlow implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

mgcnn

Multi-Graph Convolutional Neural Networks

mixture_density_vaes

Variational Autoencoders with Gaussian Mixture Latent Space

mkr

A tensorflow implementation of Multi-task learning for Knowledge graph enhanced Recommender systems

mlss2018-madrid-gan

MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)

mm18-deep-cognitive-subspace-clustering

Tensorflow implementation for Deep Cognitive Subspace Clustering

mmdne

Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

moe

A global, black box optimization engine for real world metric optimization.

mohr

MoHR: Recommendation Through Mixtures of Heterogeneous Item Relationships

molecular-gat

Molecular-GAT

mstn

PyTorch reimplementation of Moving Semantic Transfer Network

msved-morph-reinflection

An implementation of semi-supervised VAE for morphology reinflection.

mta-lstm

The code and data of <Topic-to-Essay Generation with Neural Networks>

mucgec

MuCGEC中文纠错数据集及文本纠错SOTA模型开源；Code & Data for our NAACL 2022 Paper "MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction"

multi-class-text-classification-cnn

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

my-blog

马云云在Github的学习片段

natural-language-processing

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

nettack

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

nlp

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

nnpu_tf

Code for reproducing experiments on MNIST and CIFAR-10 in paper "Positive-Unlabeled Learning with Non-Negative Risk Estimator".

nrgnn

A PyTorch implementation of "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs" (KDD 2021)