Statistics for topic deployment
RepositoryStats tracks 559,058 Github repositories, of these 433 are tagged with the deployment topic. The most common primary language for repositories using this topic is Python (69). Other languages include: Go (50), JavaScript (48), Shell (44), TypeScript (32), PHP (25), Jupyter Notebook (18), C++ (15), Ruby (15), Java (11)
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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.
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...
A Self-Hosted Platform for Building, Deploying, and Monitoring Applications: Alternative to Heroku, Netlify, and Vercel
Django tutorial integrating TailwindCSS, Neon Postgres, Stripe API, User auth, deployment, & more.
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.
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...
Provides an ensemble model to deploy a YoloV8 ONNX model to Triton
A Self-Hosted Platform for Building, Deploying, and Monitoring Applications: Alternative to Heroku, Netlify, and Vercel
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...
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.
A collection of configs, artifacts, and schemas for Hyperlane
Running Dart Edge Rest api on most platform (supabase, Cloudflare, vercel, netlify and more).
This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit".
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.
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...
Build & ship backends without writing any infrastructure files.
This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit".
Setup Packager helps you to easily package your software installation for Intune or other device management solutions. With just a few clicks you can create a PSADT-capable package from your files and...