l5kit VS engineering

Compare l5kit vs engineering and see what are their differences.

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l5kit engineering
1 3
838 36
0.8% -
4.5 0.0
6 months ago over 1 year ago
Python
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

l5kit

Posts with mentions or reviews of l5kit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-03.
  • Ask HN: Who is hiring? (January 2022)
    28 projects | news.ycombinator.com | 3 Jan 2022
    Level 5 | Self-driving Research | Palo Alto, US & London, UK & Tokyo, Japan | Full-Time + Interns | Onsite (Hybrid - 2 days in p/w - currently closed)

    Level 5 at Woven Planet develops real-time car automation solutions via applied Machine Learning and Computer Vision (SFM, SLAM, 3D Perception etc). The system is adding self-driving capabilities to vehicles with the end goal of providing autonomy features to all cars from the largest car company in the world, Toyota. For more information please read through https://www.self-driving-cars.org

    The platform at Level 5 is written in Python & C++. We are an AWS environment with additional use of NumPy, PyTorch, GRPC, Kafka, Kubernetes, Terraform, SageMaker, Spark, Postgres & others. We work in a OneBox cloud environment with continuous deployment and are firm believers in the benefits of open source (https://github.com/woven-planet/l5kit). We apply multiple flavours of ML to petabytes of data; such as Deep Learning, Transformers, Neural Networks & Reinforcement Learning. If you are interested in applying Machine Learning (ML) to real world data - look no further. https://www.self-driving-cars.org/datasets

    If you like the idea of working on some of the most challenging problems in applied computer science. We are looking for talent across Data, Computer Vision, Machine Learning, Infrastructure, Research - and of course Software Engineering. Please find our jobs at https://boards.greenhouse.io/l5

engineering

Posts with mentions or reviews of engineering. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-03.
  • Ask HN: Who is hiring? (January 2022)
    28 projects | news.ycombinator.com | 3 Jan 2022
    Slim.AI | Fullstack and Backend Engineers | REMOTE, international or Seattle/Bellevue/WA | Full-time | Golang, Node.js, Vue.js/Nuxt.js

    I'm the founder and CTO at Slim.AI. We are a well funded seed stage startup (9M+) in the developer tooling space. Our mission is to simplify and accelerate the containerized app delivery (it's too hard, too complicated and with too much manual work). We are about to transition to the next phase and we are expanding our engineering team.

    Our engineering team is the innovation engine for our product because we are building a solution to solve our own problems creating and running containerized cloud-native applications.

    We use Golang, Node.js Serverless/Lambda and containers. We have frontend, backend and fullstack roles ( https://github.com/slim-ai/engineering ).

    Our engineering principles:

    * We use what we build.

  • Ask HN: Who is hiring? (December 2021)
    37 projects | news.ycombinator.com | 1 Dec 2021
    Slim.AI | Backend and Fullstack Engineers | REMOTE, international or Seattle/Bellevue/WA | Full-time | https://github.com/slim-ai/engineering

    We are a well funded seed stage startup (9M+) in the developer tooling space on a mission to redefine how DevOps is done for containerized apps (it's too hard, too complicated and with too much manual work). We are about to transition to the next phase and we are expanding our engineering team.

    Our engineering team is the innovation engine for our product because we are building a solution to solve our own problems creating and running containerized cloud-native applications.

    We use Golang, Node.js Serverless/Lambda and containers. Take a look at the backend ( https://github.com/slim-ai/engineering/blob/master/roles/bac... ) and fullstack ( https://github.com/slim-ai/engineering/blob/master/roles/ful... ) roles and our engineering principles to see if the role and how we do engineering looks interesting to you ( https://github.com/slim-ai/engineering#engineering-principle... ).

    Email me at [email protected] if you'd like to learn more.

    P.S.

    And take a look at DockerSlim ( https://github.com/docker-slim/docker-slim ) if you are interested in working on the open source project that powers our SaaS.

  • Ask HN: Who is hiring? (January 2021)
    15 projects | news.ycombinator.com | 4 Jan 2021
    Slim.AI | REMOTE or Seattle | Full-time | Developer Experience Lead | https://github.com/slim-ai/engineering

    Do you enjoy working with lots of different applications stacks? Do you like helping others? Do you want to build lots of different applications? Are you interested in contributing to open source?

    We are a funded seed stage startup in the developer tooling and DevOps space empowering developers to build and run their cloud-native applications. The current product is focusing on containers and the friction around them.

    We are building a brand new engineering team. We are developer friendly, low on process with no mind-numbing bureaucracy or micromanagement. We are looking for people who'll be excited to be a part of the engineering team in an early stage startup during its inception phase building modern cloud-native applications the right way.

    You can find out more about the mission, how we work and the roles here: https://github.com/slim-ai/engineering

    Email me at [email protected] if you'd like to learn more.

What are some alternatives?

When comparing l5kit and engineering you can also consider the following projects:

seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

pulsechain-testnet

studio - Robotics visualization and debugging

orchest - Build data pipelines, the easy way 🛠️

sourcegraph - Code AI platform with Code Search & Cody

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

Lean and Mean Docker containers - Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)

Autonomous-car - Autonomous car using ESP32.

MLServer - An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

engineering-principles - Skyscanner's Engineering Principles