PyTorch Lightning
Facebook.ai
Swift AI
TensorFlow
Prisma
PyTorch
Talk to Books by Google
A.I. Experiments by Google
Keras
TensorFlow
PyTorch
Scikit-learn
TFlearn
OpenCV
Clarifai
DeepPy
PyTorch LightningNo features have been listed yet.
Based on our record, Keras seems to be a lot more popular than PyTorch Lightning. While we know about 35 links to Keras, we've tracked only 3 mentions of PyTorch Lightning. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It's very easy to get started, right in your Terminal, no fees! No credit card at all. And there are cloud providers like https://replicate.com/ that will let you use your LLM via an API key just like you did with OpenAI if you need that. You don't need OpenAI - nobody does. - Source: Hacker News / about 1 year ago
Https://see.stanford.edu/Course/CS229 Https://lightning.ai/ Https://www.youtube.com/watch?v=00s9ireCnCw&t=57s Https://towardsdatascience.com/. Source: over 1 year ago
There is already a ton of momentum around automating ML workflows. I would suggest you contribute to a preexisting project like, for instance, PyTorch Lightning or fast.ai. Source: about 3 years ago
The unchallenged leader in AI development is still Python. And Keras, and robust community support. - Source: dev.to / 12 days ago
If you need simplicity, Keras is a great high-level API built on top of TensorFlow. It lets you quickly prototype neural networks without worrying about low-level implementations. Keras is perfect for getting those first models up and running—an essential part of the startup hustle. - Source: dev.to / 7 months ago
At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building machine learning models. It also has a large community, where you can share ideas, contribute, and get help if you are stuck. - Source: dev.to / 7 months ago
The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 11 months ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 1 year ago
Facebook.ai - Everything you need to take AI from research to production
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Swift AI - Artificial intelligence and machine learning library written in Swift.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Prisma - Art filters using artificial intelligence to transform your photos into classic artwork.
