datasets
fastapi
datasets | fastapi | |
---|---|---|
4 | 467 | |
2,299 | 71,023 | |
0.4% | - | |
4.7 | 9.8 | |
3 months ago | 3 days ago | |
Jupyter Notebook | Python | |
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
datasets
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Here's a live demo with a simple React frontend. It's searching against an S3 bucket containing Unsplash's open source dataset of 25,000 images, plus a few of my own.
- Where can I get lots of clean open source data?
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Let's create a face dataset with unsplash data
Alright so we are going to use the test dataset that unsplash provides but everything works with the full dataset if you are able to access that one, you can get more information in the github repo.
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Movie Maker
This project uses GithubActions to assemble a random movie clip every hour or so. Each of the frames is an image taken from the Unsplash Dataset.
fastapi
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FastAPI Best Practices: A Condensed Guide with Examples
FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.
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Building an Email Assistant Application with Burr
In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. Weâll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but wonât dive into details for it.
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FastAPI Got Me an OpenAPI Spec Really... Fast
Thatâs when I found FastAPI.
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How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
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Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
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LangChain, Python, and Heroku
An API application framework (such as FastAPI)
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Litestar â powerful, flexible, and highly performant Python ASGI framework
Itâs been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.
This ends up made worse if youâre using sync routes.
If youâre constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isnât a straightforward way to cancel the execution of a route handler in every Python http framework Iâve seen exhibit this problem, the problem quickly snowballs.
This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
- Ask HN: What is your go-to stack for the web?
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Fun with Avatars: Crafting the core engine | Part. 1
We will create our API using FastAPI, a modern high-performance web framework for building fast APIs with Python. It is designed to be easy to use, efficient, and highly scalable. Some key features of FastAPI include:
What are some alternatives?
uawardata - The data behind uawardata.com
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
data - Data and code behind the articles and graphics at FiveThirtyEight
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
Tegridy-MIDI-Dataset - Tegridy MIDI Dataset for precise and effective Music AI models creation.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
natural-language-image-search - Search photos on Unsplash using natural language
django-ninja - đ¨ Fast, Async-ready, Openapi, type hints based framework for building APIs
quilt - Quilt is a data mesh for connecting people with actionable data
Flask - The Python micro framework for building web applications.
food-recognition-benchmark-starter-kit - This repository is the main Food Recognition Benchmark template and Starter kit. Clone the repository to compete now!
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.