keeson

context_aware_recommeder

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

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

emacs.d

feature_data_process

特征处理程序，生成svm格式数据

hello-emacs

emacs新手入门资料汇集地

JumbaStar

learning-to-rank-listnet

Automatically exported from code.google.com/p/learning-to-rank-listnet

libffm

libfm

Library for factorization machines

Luna

CTR prediction(feature engineering + learning system)

micro

Go Micro 微服务实践

ParameterServer

Pentuum Parameter Server with Matrix Factorization implemented

py-html-table

Pytorch-Project-Template

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

ranking

Learning to Rank in TensorFlow

resume-spring-mvc

spring-mvc hibernate noob project

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

samantha

Samantha - A generic recommender and predictor server.

spacemacs

A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!

use_vim_as_ide

use vim as IDE