Based on our record, PyTorch should be more popular than Cruise. It has been mentiond 112 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
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 15 days ago
Hi everyone! I’m devloker, and today I’m excited to share a project I’ve been working on: a digit recognition system implemented using pure math functions in Python. This project aims to help beginners grasp the mathematics behind AI and digit recognition without relying on high-level libraries like TensorFlow or PyTorch. You can find the complete code on my GitHub repository. - Source: dev.to / 14 days ago
PyTorch - An open source machine learning framework. PyTorch Tutorials - Tutorials and documentation. - Source: dev.to / 21 days ago
In this guide, we provided a comprehensive, step-by-step explanation of how to implement a simple GPT (Generative Pre-trained Transformer) model using PyTorch. We walked through the process of creating a custom dataset, building the GPT model, training it, and generating text. This hands-on implementation demonstrates the fundamental concepts behind the GPT architecture and serves as a foundation for more complex... - Source: dev.to / 29 days ago
PyTorch is a powerful and flexible deep learning framework that offers a rich set of features for building and training neural networks. - Source: dev.to / about 1 month ago
Comma.ai - Open source self-driving car platform
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.
Scootbee - Self-driving, dockless scooters from Singapore
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Apollo (from Baidu) - Open Source platform to develop autonomous driving systems
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.