Coding's repositories
alerting
Set of libraries used to build alerting systems at Grafana - including the Alertmanager.
BERT-train2deploy
BERT模型从训练到部署
DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
deeplearning
深度学习相关的模型训练、评估和预测相关代码
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scutjy2015@163.com 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
FM-FFM
FM and FFM implement with tensorflow by Python
fm_tensorflow
Factorization Machines implementation with Tensorflow
models
Models and examples built with TensorFlow
NLP-beginner-task
finish the task on https://github.com/FudanNLP/nlp-beginner
openai-scf-goproxy
Golang开发的腾讯云函数OpenAI反向代理
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Recommender-System
A developing recommender system. Algorithm: UserCF, ItemCF, LFM, GMF, MLP, NeuMF, DeepFM and so on. Evaluation: ctr's auc f1 and topk's precision recall.
recommender-system-pytorch
FMM,FM,DeepFM等模型的核心代码实现，训练集，测试集
SR-GNN
Source code and datasets for the paper "Session-based Recommendation with Graph Neural Networks" (AAAI-19)
Surprise
A Python scikit for building and analyzing recommender systems
tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
wechat_notice
python代码定时发送微信消息通知