Deep Learning In Production Alternatives

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
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Alternatives To The-AI-Summer/Deep-Learning-In-Production
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
ray-project/ray 29,596 80 363 about 2 years ago 95 December 04, 2023 3,528 apache-2.0 Python
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.
gradio-app/gradio 25,823 1 229 about 2 years ago 534 December 05, 2023 452 apache-2.0 Python
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
bentoml/BentoML 6,192 0 12 about 2 years ago 119 November 20, 2023 203 apache-2.0 Python
Build Production-Grade AI Applications
PaddlePaddle/PaddleX 4,510 0 2 over 2 years ago 54 December 10, 2021 538 apache-2.0 Python
PaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)
alirezadir/Production-Level-Deep-Learning 3,957 0 0 over 2 years ago 0 7
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
open-mmlab/mmdeploy 2,371 0 2 about 2 years ago 6 September 22, 2023 255 apache-2.0 Python
OpenMMLab Model Deployment Framework
Delta-ML/delta 1,556 0 0 over 2 years ago 3 March 27, 2020 2 apache-2.0 Python
DELTA is a deep learning based natural language and speech processing platform.
ELS-RD/transformer-deploy 1,542 0 0 over 2 years ago 0 53 apache-2.0 Python
Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
SeldonIO/seldon-server 1,420 0 0 about 6 years ago 44 June 28, 2017 26 apache-2.0 Java
Machine Learning Platform and Recommendation Engine built on Kubernetes
imfing/keras-flask-deploy-webapp 1,143 0 0 almost 3 years ago 0 0 apache-2.0 JavaScript
:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
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