Based on our record, Keras should be more popular than Cruise. It has been mentiond 32 times since March 2021. 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.
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 / 4 days 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 2 months ago
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / about 2 months ago
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 12 months ago
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
Foxglove CEO Adrian Macneil will talk about the recurring challenges he encountered while heading infrastructure at Cruise, and how that experience led to him founding Foxglove. Afterwards, we’ll have a live demo of the Foxglove platform, with some specific robotics development use cases. Source: 10 months ago
Let me challenge you on this one: We already know Volkswagen has CARIAD, Toyota has Woven (and TRI), Stellantis has STLA Brain, and GM has Ultifi and Cruise. Source: about 1 year ago
I think it's a shame that Cruise https://getcruise.com/ isn't mentioned thus far. They've been fully autonomous in San Francisco for something like a year, and are piloting in Austin and Phoenix(?) ... No need to own a car if it can be doing dozens of trips instead of paying for parking. - Source: Hacker News / about 1 year ago
I’ve experienced this at Cruise AI myself as an engineer in the Machine Learning Accelerators (MLA) team. Deploying big, bulky models onto hardware constrained environments like an autonomous vehicle with strict system performance limits remain a significant challenge. Friends working at various AI and robotics teams have expressed similar frustrations. Source: about 1 year ago
I'm not sure what you can do to ride in a Waymo specifically, but if you're just looking to ride in a driverless car, you can also try Cruise. They have an autonomous fleet in SF, but I think they only operate after 10pm. More info here. Source: about 1 year ago
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.
Comma.ai - Open source self-driving car platform
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Scootbee - Self-driving, dockless scooters from Singapore
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Apollo (from Baidu) - Open Source platform to develop autonomous driving systems