Pinned Repositories
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此算法在MovieLength数据集上进行开发，利用用户对资源的使用记录构造图模型
9nfl
AlibabaRecommand
Alibaba 2015 mobile recommending algorithm competition.
DarwinAccelerator
Google分层实验框架
deep_neural_networks_for_youtube_recommendations
根据deep_neural_networks_for_youtube_recommendations文章用tensorflow搭建dnn，然后用org.tensorflow加载模型并用spark预测
deep_recommenders
Deep Recommenders
DevilYuan
DevilYuan可视化股票量化系统，支持选股，历史数据自动下载，策略回测及参数优化，实盘交易和常用的统计功能
Difacto_DMLC
Distributed FM and LR based on Parameter Server with Ftrl
dl4j-examples
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
learn-python
小白的Python入门教程：部分章节源码
l878619717's Repositories
l878619717/learn-python
小白的Python入门教程：部分章节源码
l878619717/-
此算法在MovieLength数据集上进行开发，利用用户对资源的使用记录构造图模型
l878619717/9nfl
l878619717/AlibabaRecommand
Alibaba 2015 mobile recommending algorithm competition.
l878619717/DarwinAccelerator
Google分层实验框架
l878619717/deep_neural_networks_for_youtube_recommendations
根据deep_neural_networks_for_youtube_recommendations文章用tensorflow搭建dnn，然后用org.tensorflow加载模型并用spark预测
l878619717/deep_recommenders
Deep Recommenders
l878619717/DevilYuan
DevilYuan可视化股票量化系统，支持选股，历史数据自动下载，策略回测及参数优化，实盘交易和常用的统计功能
l878619717/Difacto_DMLC
Distributed FM and LR based on Parameter Server with Ftrl
l878619717/dl4j-examples
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
l878619717/EasyCTR
l878619717/backup-openbilibili-go-common
2019年4-22日-bilibili-干杯站后端源码（原包删除前最后一版170M）
l878619717/deep_learning_estimator
【旧版本】深度学习在推荐算法的ctr预估等场景中的应用，该项目使用tensorflow estimator进行封装，包括dnn、deepfm、din、autoint等模型
l878619717/EliteQuant_Cpp
C/C++ 11 High frequency quantitative trading platform. It follows modern design patterns such as event-driven, server/client architect, dependency injection and loosely-coupled robust distributed system. It is self-contained and can be used out of box. At the same time, it serves as server side for other EliteQuant projects.
l878619717/Field-aware-Factorization-Machine-ps
LR model solved by ftrl and sgd parallel on parameter server(ps-lite). FM、FFM model in the future
l878619717/galileo
Galileo library for large scale graph training by JD
l878619717/gdGPT
Train llm (bloom and llama) with deepspeed pipeline mode. Faster than zero/zero++/fsdp.
l878619717/hack-SysML
The road to hack SysML and become an system expert
l878619717/openBilibili-1
b站后台源码
l878619717/pythonlearing
python coding
l878619717/Recommender-System-with-TF2.0
Recurrence the recommender paper with Tensorflow2.0
l878619717/renren
人人网信息抓取与数据挖掘。social network analysis
l878619717/RSDeepModel
【最新版】深度学习模型（推荐场景CTR预估为背景）, 使用estimator进行封装, 包括dnn、deepfm、din、dinfm、autoint等模型
l878619717/spark
Mirror of Apache Spark
l878619717/SparrowRecSys
A Deep Learning Recommender System
l878619717/tf_demo
利用自己编译的tensorflow library做的demo，可以集成到现有业务中，减少对tf_serving的依赖
l878619717/tf_repos
TensorFlow Script
l878619717/wechat-assistant-pro
智能微秘书客户端，搭配
l878619717/xgb2cpp
Converts XGBoost raw model dumps to C++ code.
l878619717/xgboost-predictor-cpp
Pure cpp implementation of XGBoost predictor for systems real-time prediction.