puxuefei

puxuefei's Stars

• tkipf/keras-gcn

  Keras implementation of Graph Convolutional Networks

  Language:Python792266

• Luckick/EAGCN

  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling

  Language:Python20344

• JihongJu/deep-pu-learning

  Deep Learning with Positive and Unlabeled samples

  Language:Jupyter Notebook548

• roywright/pu_learning

  Experiments in positive-unlabeled learning

  Language:Jupyter Notebook12039

• kiryor/nnPUlearning

  Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

  Language:Python29764

• lytforgood/MachineLearningTrick

  Machine Learning Trick : GBDT_Feature Blending Stacking CascadeForest

  Language:Python367179

• Embedding/Chinese-Word-Vectors

  100+ Chinese Word Vectors 上百种预训练中文词向量

  Language:Python11.9k2.3k

• stanfordnlp/GloVe

  Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

  Language:C6.9k1.5k

• uhauha2929/examples

  Language:Jupyter Notebook13262

• OpenNMT/OpenNMT-py

  Open Source Neural Machine Translation and (Large) Language Models in PyTorch

  Language:Python6.8k2.2k

• spro/practical-pytorch

  Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

  Language:Jupyter Notebook4.5k1.1k

• MSWorkers/support.996.ICU

  Microsoft and GitHub Workers Support 996.ICU

  10.1k648

• farizrahman4u/seq2seq

  Sequence to Sequence Learning with Keras

  Language:Python3.2k845

• nicolas-ivanov/debug_seq2seq

  [unmaintained] Make seq2seq for keras work

  Language:Python23286

• yuanxiaosc/Keras_Attention_Seq2Seq

  A sequence-to-sequence framework of Keras-based generative attention mechanisms that humans can read.一个人类可以阅读的基于Keras的代注意力机制的序列到序列的框架/模型，或许你不用写复杂的代码，直接使用吧。

  Language:Python185

• lsdefine/attention-is-all-you-need-keras

  A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

  Language:Python712187

• philipperemy/keras-attention

  Keras Attention Layer (Luong and Bahdanau scores).

  Language:Python2.8k673

• jacoxu/encoder_decoder

  Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq

  Language:Python277127

• Choco31415/Attention_Network_With_Keras

  An example attention network with simple dataset.

  Language:Jupyter Notebook230101

• apachecn/fe4ml-zh

  :book: [译] 面向机器学习的特征工程

  Language:JavaScript2.5k678

• pjgao/seq2seq_keras

  使用keras搭建seq2seq完成中英文翻译

  Language:Jupyter Notebook5323

• feidapeng/2016CCF_StateGrid_UserProfile

  1st Place Solution for【2016CCF大数据竞赛 客户画像赛题（用户画像）】

  Language:Python347128

• Light-City/igraph_learn

  python-igraph学习

  Language:Jupyter Notebook1

• maksim2042/SNABook

  Code for "Social Networks for Startups"

  Language:Python243200

• kolaczyk/sand

  Statistical Analysis of Network Data with R, 2nd Edition

  Language:R295192

• eliorc/node2vec

  Implementation of the node2vec algorithm.

  Language:Python1.3k251

• aditya-grover/node2vec

  Language:Scala2.6k914

• RogerMonkey/IJCAI_CUP_2017

  IJCAI-17 口碑商家客流量预测

  Language:Jupyter Notebook10265

• lawlite19/MachineLearning_Python

  机器学习算法python实现

  Language:Python7.4k2.4k

• lancopku/pkuseg-python

  pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

  Language:Python6.6k988