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deepfm_keras

A simple DeepFM.

deepgbm

Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

document-level-classification

超长文本分类（大于1000字）；文档级/篇章级文本分类；主要是解决长距离依赖问题

dsb2019

https://www.kaggle.com/c/data-science-bowl-2019

dssm-lstm

Deep Semantic Similarity Model with LSTM Networks

early-stopping-pytorch

Early stopping for PyTorch

elmo-keras

Re-implementation of ELMo on Keras

entity-embedding-rossmann

entity_embeddings_categorical

Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fasttext

Windows Build of fastText, library for text representation and classification.

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

fitlog

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

gbdt

A simple GBDT in Python

gnnpapers

Must-read papers on graph neural networks (GNN)

graphembedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

ignite

High-level library to help with training neural networks in PyTorch

indoor-location-navigation-public

Winning solution of the Indoor Location & Navigation Kaggle competition

interpretable-han-for-document-classification-with-keras

Keras implementation of hierarchical attention network for document classification with options to predict and present attention weights on both word and sentence level.

kaggle

kaggle-avazu

kaggle-quora-question-pairs

Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

kaggle_utils

keras-attention-mechanism

Attention mechanism Implementation for Keras.

keras-layer-normalization

Layer normalization implemented in Keras

keras-mmoe

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)