waterbeach

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

dubbo

The java implementation of Apache Dubbo. An RPC and microservice framework.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

shap

A game theoretic approach to explain the output of any machine learning model.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Deep-Learning-with-TensorFlow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

MNN

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

flink-training-course

Flink 中文视频课程（持续更新...）

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

rtb-papers

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

DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

Deep-Learning-for-Recommendation-Systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

DeepMatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

books

技术资料分享

deeplearning

深度学习相关的模型训练、评估和预测相关代码

deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

GRU4Rec

GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

keras-mmoe

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

deep_learning

基础的深度学习实验研究结果汇总笔记

flink-china-doc

Flink 官方文档中文翻译项目 :cn:

estimator

TensorFlow Estimator

learningSpark

学习spark写的scala代码，工具使用的是IDEA2017.1.6,欢迎star

scala-hello

快学scala的课后习题答案

TableApiDemo

SimpleRestfulML

基于python3.6 + tornado 实现简单的 RESTful API，用于机器学习模型部署和调用。