Based on our record, Cruise should be more popular than TFlearn. It has been mentiond 15 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.
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: over 1 year ago
TFLearn – Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / almost 2 years ago
Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / over 3 years ago
Comma.ai - Open source self-driving car platform
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Scootbee - Self-driving, dockless scooters from Singapore
Clarifai - The World's AI
Apollo (from Baidu) - Open Source platform to develop autonomous driving systems
DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.