AWS DeepRacer Reviews

CodeClimate Reviews

AWS DeepRacer mentions (19)

• Beginning the Journey into ML, AI and GenAI on AWS

  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 / 5 months ago

• RL for robotics

  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

• Scaling ML Education With AWS DeepRacer

  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 / 10 months ago

• Donkeycar: A Python self driving library

  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

• My experience starting out with Deepracer (Q4/22)

  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

CodeClimate mentions (11)

• free-for.dev

  Codeclimate.com — Automated code review, free for Open Source and unlimited organisation-owned private repos (up to 4 collaborators). Also free for students and institutions. - Source: dev.to / over 1 year ago

• How To Use Code Climate To Improve Software Quality

  Want to know how to enforce allowing only high-quality software into production? Check out this post on how to use CodeClimate can help you do just that! #DevOps #SoftwareDeveloper #softwaredevelopment #SoftwareEngineering #webdevelopment #codequality. Source: almost 2 years ago

• RFC: A Full-stack Analytics Platform Architecture

  Ideally, software can quickly go from development to production. Continuous deployment and delivery are some processes that make this possible. Continuous deployment means establishing an automated pipeline from development to production while continuous delivery means maintaining the main branch in a deployable state so that a deployment can be requested at any time. Predecos uses these tools. When a commit goes... - Source: dev.to / about 2 years ago

• Adding coverage to CI pipeline?

  The new code should not drop existing code coverage I've found in practice mainly catches changes to existing code that lack proper updates to existing tests. Our company uses Code Climate for these checks, so we don't have to manage / write our own tooling for this purpose. Source: over 2 years ago

• Node.js best practices list (July 2021)

  TL;DR: Using static analysis tools helps by giving objective ways to improve code quality and keeps your code maintainable. You can add static analysis tools to your CI build to fail when it finds code smells. Its main selling points over plain linting are the ability to inspect quality in the context of multiple files (e.g. Detect duplications), perform advanced analysis (e.g. Code complexity), and follow the... - Source: dev.to / almost 3 years ago