gujita's Stars
apache/logging-log4j2
Apache Log4j 2 is a versatile, feature-rich, efficient logging API and backend for Java.
SpongebBob/tabular_automl_NNI
PAKDD AutoML challenge 2nd Feature Engineering Part
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
alteryx/featuretools
An open source python library for automated feature engineering
ClimbsRocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
minimaxir/automl-gs
Provide an input CSV and a target field to predict, generate a model + code to run it.
TheAlgorithms/Python
All Algorithms implemented in Python
the0demiurge/CharlesScripts
My awesome scripts for Arch Linux or Ubuntu Gnome latest LTS or MacBook.
scikit-optimize/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
hyperopt/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
h2oai/h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
SortableJS/Vue.Draggable
Vue drag-and-drop component based on Sortable.js
ycy950519/CorsApi
机器学习可视化平台
ligo/flowml
流程化 机器学习框架 基于 scala java语言 ,一站式自动机器学习平台 ,主要包括数据分析 特征工程 ,机器模型,自动部署,超参数优化,模型自动优化,自动扩容分配创建功能,类似第四范式、阿里PAI平台、google autoMl、亚马逊SageMaker
16121201/O2_Experiment
机器学习平台前端设计
wyc941012/MachineLearningPlatform
基于Spark和Kubernetes的机器学习平台
Liwengbin/mml
mml是类似于阿里云的机器学习平台
ICT-BDA/EasyML
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
NVIDIA/DIGITS
Deep Learning GPU Training System
hibayesian/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
operator-framework/awesome-operators
A resource tracking a number of Operators out in the wild.
kubernetes/kubernetes
Production-Grade Container Scheduling and Management
helm/helm
The Kubernetes Package Manager
wepe/MachineLearning
Basic Machine Learning and Deep Learning
IBM/sparksql-for-hbase
Learn how to use Spark SQL and HSpark connector package to create / query data tables that reside in HBase region servers
JThink/SkyEye
对java、scala等运行于jvm的程序进行实时日志采集、索引和可视化,对系统进行进程级别的监控,对系统内部的操作进行策略性的报警、对分布式的rpc调用进行trace跟踪以便于进行性能分析
JeffLi1993/springboot-learning-example
spring boot 实践学习案例,是 spring boot 初学者及核心技术巩固的最佳实践。