FastAPI VS TensorFlow

FastAPI Reviews

TensorFlow Reviews

FastAPI mentions (235)

• Github Sponsor Sebastián Ramírez Python programmer

  He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used. - Source: dev.to / 12 days ago

• Python: A SQLAlchemy Wrapper Component That Works With Both Flask and FastAPI Frameworks

  It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always. - Source: dev.to / 13 days ago

• 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. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it. - Source: dev.to / 20 days ago

• Ask HN: What is your go-to stack for the web?

  For pure APIs: pyapi-server [0]. For classic Web sites: Starlette [1], with SQLAlchemy Core [2] for database integration. Or, if you prefer something with more batteries included, FastAPI [3]. [0] https://pyapi-server.readthedocs.io [1] https://www.starlette.io/ [2] https://docs.sqlalchemy.org/en/20/ [3] https://fastapi.tiangolo.com/. - Source: Hacker News / 3 months ago

• 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:. - Source: dev.to / 4 months ago

TensorFlow mentions (7)

• Creating Image Frames from Videos for Deep Learning Models

  Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago

• Need help with a Tensorflow function

  So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago

• Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7

  Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 2 years ago

• [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?

  I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago

• [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?

  I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago