LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
featured
Darknet
Keras
TFlearn
TensorFlow
PyTorch
Clarifai
Microsoft Cognitive Toolkit (Formerly CNTK)
DeepPy
AWS DeepRacer
Comma.ai
Apollo (from Baidu)
Scootbee
Scale Self-Driving Training API
EDIT Self-Driving Car
Cruise
OSVehicle
Darknet AWS DeepRacerBased on our record, AWS DeepRacer should be more popular than Darknet. It has been mentiond 19 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.
This reminds me of the resume for the guy who made darknet Https://pjreddie.com/darknet/. Source: over 1 year ago
Election of tools: you should define if you are going to use machine/deep learning methods or classical approaches such as the Viola-Jones algorithm. I will recommend you to use ML/DL with TensorFlow (Object Detection API) or Darknet (YOLO). Source: over 2 years ago
Yes, in subfield of ML like DNL and CNL, C||C++ are commonly used, darkent is open source neural network framework written in c and cuda . Source: almost 3 years ago
Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 4 months ago
I haven't used it, but I've heard good things about AWS' DeepRacer. It's supposed to be an all-in-one place to start for this kind of work. Source: 7 months ago
AWS DeepRacer is a service offered by Amazon Web Services (AWS) that combines machine learning, cloud computing, and robotics to provide a platform for learning and experimenting with reinforcement learning. - Source: dev.to / 9 months ago
Some other toy-scale self-driving car projects which come with simulators in case someone cannot get the hardware: 1. Duckietown: https://www.duckietown.org/ from ETH Zurich, comes with a MOOC with all material. 2. MuSHR: https://mushr.io/ from Sid Srinivasa’s group at UW. 3. F1TENTH: https://f1tenth.org/ probably the most popular, regularly heads physical competitions, sometimes at popular robotics conferences.... - Source: Hacker News / about 1 year ago
I don't think I'll spend too much time writing about the history of deepracer, or what it is. You can read up on it on AWS website https://aws.amazon.com/deepracer/. - Source: dev.to / over 1 year ago
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Comma.ai - Open source self-driving car platform
TFlearn - TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
Apollo (from Baidu) - Open Source platform to develop autonomous driving systems
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