andyxf1029

andyxf1029's Stars

• dlwh/epic

  **Archived** Epic is a high performance statistical parser written in Scala, along with a framework for building complex structured prediction models.

  Language:Scala46982

• h2oai/deepwater

  Deep Learning in H2O using Native GPU Backends

  Language:C++28292

• baidu/unit-dmkit

  Language:C++327116

• IBM/Scalable-Cassandra-deployment-on-Kubernetes

  In this code we provide a full roadmap the deployment of a multi-node scalable Cassandra cluster on Kubernetes. Cassandra understands that it is running within a cluster manager, and uses this cluster management infrastructure to help implement the application. Kubernetes concepts like Replication Controller, StatefulSets etc. are leveraged to deploy either non-persistent or persistent Cassandra clusters on Kubernetes cluster.

  Language:Shell196102

• IBM/elasticsearch-spark-recommender

  Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

  Language:Jupyter Notebook842266

• creativetimofficial/material-dashboard

  Material Dashboard - Open Source Bootstrap 5 Material Design Admin

  Language:SCSS11.1k4.4k

• apachecn/fe4ml-zh

  :book: [译] 面向机器学习的特征工程

  Language:JavaScript2.5k677

• alteryx/featuretools

  An open source python library for automated feature engineering

  Language:Python7.3k878

• IntelLabs/nlp-architect

  A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

  Language:Python2.9k448

• BoostIO/BoostNote-Legacy

  This repository is outdated and new Boost Note app is available! We've launched a new Boost Note app which supports real-time collaborative writing. https://github.com/BoostIO/BoostNote-App

  Language:JavaScript17.1k1.5k

• 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.

  Language:Jupyter Notebook6.9k2k

• Quorafind/MLkit-CN

  ML Kit 中文文档

  21633

• tidyverse/datascience-box

  Data Science Course in a Box

  Language:JavaScript968432

• SeldonIO/seldon-core

  An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

  Language:HTML4.4k832

• zalando/zmon

  Real-time monitoring of critical metrics & KPIs via elegant dashboards, Grafana3 visualizations & more

  Language:Shell35947

• meniluca/spark-scala-maven-boilerplate-project

  This is a skeleton of a Scala project with maven to start using Spark

  Language:Scala4457

• yahoo/CMAK

  CMAK is a tool for managing Apache Kafka clusters

  Language:Scala11.8k2.5k

• cerndb/dist-keras

  Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

  Language:Python624167

• Angel-ML/angel

  A Flexible and Powerful Parameter Server for large-scale machine learning

  Language:Java6.7k1.6k

• puckel/docker-airflow

  Docker Apache Airflow

  Language:Shell3.8k543

• cloudera/livy

  Livy is an open source REST interface for interacting with Apache Spark from anywhere

  Language:Scala1k314

• groupon/sparklint

  A tool for monitoring and tuning Spark jobs for efficiency.

  Language:Scala35792

• big-data-europe/docker-spark

  Apache Spark docker image

  Language:Shell2k699

• postmanlabs/newman

  Newman is a command-line collection runner for Postman

  Language:JavaScript6.9k1.2k

• Sarasra/models

  Models and examples built with TensorFlow

  Language:Python2.9k1.2k

• codecentric/spring-boot-admin

  Admin UI for administration of spring boot applications

  Language:Java12.4k3.1k

• rasmusbergpalm/DeepLearnToolbox

  Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

  Language:Matlab3.8k2.3k

• scofield7419/sequence-labeling-BiLSTM-CRF

  The BiLSTM-CRF model implementation in Tensorflow, for sequence labeling tasks.

  Language:JavaScript700257

• src-d/awesome-machine-learning-on-source-code

  Cool links & research papers related to Machine Learning applied to source code (MLonCode)

  6.3k843

• jbhuang0604/awesome-computer-vision

  A curated list of awesome computer vision resources

  21.1k4.3k