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2018-kaggle-adtrackingfraud

2018 - Kaggle - TalkingData AdTracking Fraud Detection Challenge: Silver medal (银牌)

algo-practice

算法实践(JavaScript & Java)，排序，查找、树、两指针、动态规划等

almm_baseline

just baseline

awesome-papers

机器学习，深度学习，自然语言处理，计算机视觉方面的顶级期刊会议论文集

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bert-finetune

Archived: Performance optimized example for fine-tuning BERT

bert-for-tf2

A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.

bert_experimental

code and supplementary materials for a series of Medium articles about the BERT model

catdcgan

A DCGAN that generate Cat pictures 🐱‍💻

cf_gbdt_lr

简单的实现推荐系统的召回模型和排序模型，其中召回模型使用协同过滤算法，排序模型使用gbdt+lr算法

coding_practice

ctr_prediction

CTR prediction using FM FFM and DeepFM

ctrnet-tool

This's the tool for CTR, including FM, FFM, NFFM and so on.

cyclegan

Tensorflow implementation of CycleGANs

cyclegan-1

A simple code of CycleGAN which is easy to read is implemented by TensorFlow

deep-interest-network

deep_learning_estimator_labels

深度学习，针对多目标任务，在推荐算法的ctr预估等场景中的应用，项目使用tensorflow estimator进行封装，包括esmm、mmoe模型

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt,NFFM

dien

fenics-colab

fenics-notes

Lecture notes and Jupyter Notebooks on FEM methods using FEniCS.

fm-ffm

FM and FFM implement with tensorflow by Python

ijcai-18-top2-single-mole-solution

复赛第二名单模型方案，没有特征选择没有调参LGB单模型857个特征

lightgbm-gbdt-lr

a python code of applying GBDT+LR for CTR prediction

ml_cia

公众号机器学习荐货情报局所有代码

mlliblearning

Spark MLlib Learning

mnist-dcgan-for-tensorflow

Simple DCGAN model for Tensorflow

navier-stokes-numerical-solution-using-fdm-fvm-lbm-solver-python-scripting

Python script for Linear, Non-Linear Convection

nlp_xiaojiang

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用

pseudo-labelling---a-semi-supervised-learning-technique