Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Paddlex | 4,510 | 2 | 4 months 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) | ||||||||||
Production Level Deep Learning | 3,957 | 6 months ago | 7 | |||||||
A guideline for building practical production-level deep learning systems to be deployed in real world applications. | ||||||||||
Inference | 1,584 | 3 | 3 months ago | 35 | December 08, 2023 | 139 | apache-2.0 | Python | ||
Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop. | ||||||||||
Deep Learning In Production | 949 | a year ago | 1 | Jupyter Notebook | ||||||
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples. | ||||||||||
Runhouse | 667 | 3 months ago | 38 | apache-2.0 | Python | |||||
Create and share production-quality backend apps and services anywhere. Unobtrusive, debuggable, PyTorch-like APIs for your world of infra. | ||||||||||
Max Image Resolution Enhancer | 604 | 2 years ago | 11 | apache-2.0 | Python | |||||
Upscale an image by a factor of 4, while generating photo-realistic details. | ||||||||||
Now | 588 | 2 | a year ago | 202 | September 20, 2023 | 106 | apache-2.0 | Python | ||
🧞 No-code tool for creating a neural search solution in minutes | ||||||||||
Artificial Intelligence Projects | 280 | a year ago | 2 | Jupyter Notebook | ||||||
Collection of Artificial Intelligence projects. | ||||||||||
Hub | 94 | 4 months ago | 45 | agpl-3.0 | Jupyter Notebook | |||||
Ultralytics HUB tutorials and support | ||||||||||
Omegaml | 93 | 3 months ago | 52 | apache-2.0 | Python | |||||
MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle |