Pinned Repositories
2020codecraft
2020华为软挑初赛粤港澳赛区第一，复赛粤港澳赛区A榜第一解决方案
alphaFM
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
alphaFM_softmax
Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.
angel
A Flexible and Powerful Parameter Server for large-scale machine learning
ant-xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
baidu-allreduce
BallTracker
Repository that handles the tracking of the ball in a video of two people playing ping pong. Based on TrackNetV3.
tensorflow
An Open Source Machine Learning Framework for Everyone
Eugene1518's Repositories
Eugene1518/tensorflow
An Open Source Machine Learning Framework for Everyone
Eugene1518/alphaFM
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
Eugene1518/angel
A Flexible and Powerful Parameter Server for large-scale machine learning
Eugene1518/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Eugene1518/baidu-allreduce
Eugene1518/build-web-application-with-golang
A golang ebook intro how to build a web with golang
Eugene1518/byteps
A high performance and general PS framework for distributed training
Eugene1518/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Eugene1518/client-go
Go client for Kubernetes.
Eugene1518/DMTK
Microsoft Distributed Machine Learning Toolkit
Eugene1518/Dogee
C++ distributed platform for shared memory programming
Eugene1518/glint
Glint: High performance scala parameter server
Eugene1518/info
Eugene1518/libftrl-python
FTRL-Proximal with python bindings
Eugene1518/LightCTR
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based machine learning, philosophy of Parameter Server and Ring-AllReduce collective communication.
Eugene1518/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Eugene1518/lihang_algorithms
用python和sklearn两种方法实现李航《统计学习方法》中的算法
Eugene1518/machine_learning_model
机器学习基本模型算法介绍(附加案例)
Eugene1518/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
Eugene1518/Multiverso
Parameter server framework for distributed machine learning
Eugene1518/OnlineLearning_BasicAlgorithm
Online Learning code: TG -> FOBOS -> RDA ->FTRL ->FTPRL -> FTML
Eugene1518/Paddle
PArallel Distributed Deep LEarning
Eugene1518/pai
Resource scheduling and cluster management for AI
Eugene1518/SeetaFaceEngine
Eugene1518/spark-ffm
FFM (Field-Awared Factorization Machine) on Spark
Eugene1518/spark-gbtlr
Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
Eugene1518/spark-libFM
An implement of Factorization Machines (LibFM)
Eugene1518/tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
Eugene1518/xflow
Distributed LR、 FM model on Parameter Server. FTRL and SGD Optimization Algorithm.
Eugene1518/ytk-learn
Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).