Pinned Repositories
benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
bert_in_keras
在Keras下微调Bert的一些例子；some examples of bert in keras
ChatBotCourse
自己动手做聊天机器人教程
context_aware_recommeder
deep-ctr
deep models for click through rate prediction
desktop
an enhancer/customiser for the all-in-one productivity workspace notion.so (app)
dnc
Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
docs
TensorFlow documentation
DotFiles
dot files
elpa
Emacs China ELPA 镜像
keeson's Repositories
keeson/context_aware_recommeder
keeson/benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
keeson/bert_in_keras
在Keras下微调Bert的一些例子；some examples of bert in keras
keeson/ChatBotCourse
自己动手做聊天机器人教程
keeson/deep-ctr
deep models for click through rate prediction
keeson/desktop
an enhancer/customiser for the all-in-one productivity workspace notion.so (app)
keeson/dnc
Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
keeson/docs
TensorFlow documentation
keeson/DotFiles
dot files
keeson/elpa
Emacs China ELPA 镜像
keeson/emacs.d
keeson/feature_data_process
特征处理程序，生成svm格式数据
keeson/hello-emacs
emacs新手入门资料汇集地
keeson/JumbaStar
keeson/learning-to-rank-listnet
Automatically exported from code.google.com/p/learning-to-rank-listnet
keeson/libffm
keeson/libfm
Library for factorization machines
keeson/Luna
CTR prediction(feature engineering + learning system)
keeson/micro
Go Micro 微服务实践
keeson/ParameterServer
Pentuum Parameter Server with Matrix Factorization implemented
keeson/py-html-table
keeson/Pytorch-Project-Template
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
keeson/ranking
Learning to Rank in TensorFlow
keeson/resume-spring-mvc
spring-mvc hibernate noob project
keeson/rtb-papers
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
keeson/samantha
Samantha - A generic recommender and predictor server.
keeson/spacemacs
A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!
keeson/use_vim_as_ide
use vim as IDE