l5kit
sourcegraph
l5kit | sourcegraph | |
---|---|---|
1 | 69 | |
838 | 9,726 | |
0.8% | 1.0% | |
4.5 | 10.0 | |
6 months ago | 4 days ago | |
Python | Go | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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
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Ask HN: Who is hiring? (January 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
sourcegraph
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Ask HN: Who is hiring? (March 2024)
Sourcegraph | REMOTE | Full-Time | Machine Learning Engineer, Developer Advocate, Enterprise Product Manager, Technical Advisor | https://sourcegraph.com
Sourcegraph is a code AI platform that makes it easy to read, write, and fix code–even in big, complex codebases.
We are building Cody, an AI coding assistant that uses code search and code intelligence to help devs quickly understand what's happening in code and generate new code that matches the best practices in your codebase. Cody supports AI-enabled autocompletion, fixing bugs, refactoring, test generation, code explanation, and answering high-level questions. You can read Steve Yegge's post on why Cody's code context engine differentiates it from the fast-moving field of AI dev tools: https://about.sourcegraph.com/blog/cheating-is-all-you-need.
Apply here: https://grnh.se/0572f98b4us
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Architecture.md (2021)
That's pretty much what https://sourcegraph.com/ are selling, is it not?
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Tell HN: GitHub is blocking search unless you are logged in
Despite their shitty rug-pull <https://github.com/sourcegraph/sourcegraph/pull/53345>, I do really like Sourcegraph and one doesn't (currently?!) need to be logged in to use it: https://sourcegraph.com/search and they have a handy rewrite pattern such that one can just plug the repo path into the URL for quick searching e.g. https://sourcegraph.com/github.com/JetBrains/intellij-commun...
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My 2024 AI Predictions
- https://sourcegraph.com is pivoting and building a copilot application (named Cody). This is pretty good, since sourcegraph is great at understanding your code
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The Curse of Docker
While a readable Dockerfile can work as documentation, there are a few caveats:
* the application needs to be designed to work outside containers (so, no hardcoded URLs, ports, or paths). Also, not directly related to containers, but it's nice if it can be easily compiled in most environments and not just on the base image.
* I still need a way to notify me of updates; if the Dockerfile just wgets a binary, this doesn't help me.
* The Dockerfiles need to be easy to find. Sourcegraph's don't seem to be referenced from the documentation, I had to look through their Github repos to find https://github.com/sourcegraph/sourcegraph/tree/main/docker-... (though most are bazel scripts instead of Dockerfiles, but serve the same purpose)
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Building Reddit’s Design System on iOS
We use Sourcegraph, which is a tool that searches through code in repositories. We leverage this tool in order to understand the adoption curve of our components across all of Reddit. We have a dashboard for each of the platforms to compare the inclusion of RPL components over legacy components. These insights are helpful for us to make informed decisions on how we continue to drive RPL adoption. We love seeing the green line go up and the red line go down!
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Launch HN: GitStart (YC S19) – Remote junior devs working on production PRs
SourceGraph: https://github.com/sourcegraph/sourcegraph/pulls?q=is%3Apr+a...
- Sourcegraph is no longer Open Source
What are some alternatives?
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
opengrok - OpenGrok is a fast and usable source code search and cross reference engine, written in Java
studio - Robotics visualization and debugging
tree-sitter - An incremental parsing system for programming tools
zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
Code-Server - VS Code in the browser
Autonomous-car - Autonomous car using ESP32.
theia-apps - Theia applications examples - docker images, desktop apps, packagings
Vue Storefront - Alokai is a Frontend as a Service solution that simplifies composable commerce. It connects all the technologies needed to build and deploy fast & scalable ecommerce frontends. It guides merchants to deliver exceptional customer experiences quickly and easily.
Atheos - A self-hosted browser-based cloud IDE, updated from Codiad IDE
JupyterLab - JupyterLab computational environment.
pulsechain-testnet