A stand alone industrial serving system for angel.
☆67Apr 12, 2022Updated 4 years ago
Alternatives and similar repositories for serving
Users that are interested in serving are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An automatic machine learning toolkit, including hyper-parameter tuning and feature engineering.☆60Oct 29, 2019Updated 6 years ago
- Spark On Angel, arming Spark with a powerful Parameter Server, which enable Spark to train very big models☆85Jan 2, 2023Updated 3 years ago
- PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.☆173Oct 13, 2025Updated 6 months ago
- Asynchronous spark machine learning with parameter server☆25Sep 27, 2016Updated 9 years ago
- A Flexible and Powerful Parameter Server for large-scale machine learning☆6,784Oct 13, 2025Updated 6 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A high-performance serving system for DeepRec based on TensorFlow Serving.☆20Nov 15, 2023Updated 2 years ago
- A third-party implementation of paper《SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spell…☆14Nov 27, 2020Updated 5 years ago
- Vector-free L-BFGS implementation for Spark MLlib☆46Jun 23, 2017Updated 8 years ago
- A lightweight parameter server interface☆1,561Mar 2, 2026Updated last month
- Byzer VSCode Extension☆12Apr 19, 2023Updated 3 years ago
- A simple RPC☆13Jan 24, 2018Updated 8 years ago
- Tensorflow Implementation of RankNet and LambdaRank☆20Feb 28, 2021Updated 5 years ago
- Papers from the computer science and implemented by angel☆27Sep 3, 2020Updated 5 years ago
- Some deep learning models written with mxnet and C++11.☆12Feb 6, 2018Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A flexible, high-performance serving system for machine learning models☆145Nov 24, 2021Updated 4 years ago
- Parameter Server implementation in Apache Flink☆56Oct 15, 2018Updated 7 years ago
- Generate images of neural network achitectures.☆19Sep 10, 2017Updated 8 years ago
- a TensorFlow-based distributed training framework optimized for large-scale sparse data.☆333Apr 10, 2026Updated 2 weeks ago
- A flexible, high-performance serving system for machine learning models☆6,348Updated this week
- scalable Recommeder System for e-commerece using LightFM package in python☆47May 14, 2019Updated 6 years ago
- parameter server for ML algs☆13Dec 11, 2013Updated 12 years ago
- jQuery UI video widget☆31Oct 28, 2011Updated 14 years ago
- A high performance and generic framework for distributed DNN training☆3,715Oct 3, 2023Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Bayesian Deep Learning with Edward (and a trick using Dropout)☆15Jun 7, 2017Updated 8 years ago
- Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank a…☆110Jun 22, 2021Updated 4 years ago
- ☆293Oct 11, 2019Updated 6 years ago
- Bayesian Personalized Ranking for Spark☆39Feb 15, 2018Updated 8 years ago
- 并发编程☆29Mar 18, 2024Updated 2 years ago
- ElasticCTR,即飞桨弹性计算推荐系统,是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务,帮助用户在Kubernetes环境中一键完成推荐系统部…☆187Jul 11, 2020Updated 5 years ago
- cifiar10 联邦学习☆10Apr 6, 2020Updated 6 years ago
- extremely distributed machine learning☆123Dec 27, 2022Updated 3 years ago
- https://kohinoor-soubam.medium.com/☆14Feb 2, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A curated list of graph learning papers, articles, tutorials, slides and projects☆31Sep 29, 2020Updated 5 years ago
- Auto generate Grafana dashboards based on prometheus metrics endpoints☆17Oct 20, 2023Updated 2 years ago
- ☆13Oct 28, 2019Updated 6 years ago
- engula-operator creates/configures/manages engula clusters atop Kubernetes☆12Jan 5, 2022Updated 4 years ago
- Distributed Factorization Machines☆299Mar 23, 2016Updated 10 years ago
- Math24o: 高中奥林匹克数学竞赛测评集 High School Olympiad Mathematics Chinese Benchmark☆11Mar 27, 2025Updated last year
- Development Repository for GPU-accelerated GBDT training☆60Apr 12, 2017Updated 9 years ago