pgmq
ML-For-Beginners
| pgmq | ML-For-Beginners | |
|---|---|---|
| 14 | 28 | |
| 1,848 | 67,111 | |
| 58.0% | 2.7% | |
| 8.9 | 7.6 | |
| 3 days ago | 12 days ago | |
| Rust | HTML | |
| PostgreSQL License | MIT License |
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.
pgmq
- Pgmq: Lightweight message queue extension for Postgres
- Replace SQS / RSMQ with pgmq: A lightweight message queue based on Postgres
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Introducing pgzx: create PostgreSQL extensions using Zig
And lots of interesting extensions use it, like
https://github.com/tembo-io/pgmq
https://github.com/zombodb/zombodb
https://github.com/supabase/pg_jsonschema
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Show HN: Hatchet – Open-source distributed task queue
Have you considered https://github.com/tembo-io/pgmq for the queue bit?
- Show HN: An SQS Alternative on Postgres
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Postgres as Queue
some notes about pgmq, https://github.com/tembo-io/pgmq, that is on this list. It is built as an extension in Postgres, which makes it compatible with all languages that have a Postgres driver.
There's no 'magic' to it, it uses existing Postgres features so all the performance and consistency guarantees of Postgres are to be expected. Easily gets to 10k+ concurrent reads and writes even on smaller sized Postgres instances, which is more than most applications need.
- FLaNK Weekly 31 December 2023
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What are the best job-scheduling tools, frameworks or libraries?
Newer project but there's no library needed. https://github.com/tembo-io/pgmq. They have a pretty simple SQL api similar to SQS. It's an extension though, so some cloud provider will not support it.
- FLaNK Stack Weekly for 20 Nov 2023
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Choose Postgres Queue Technology
PGMQ does not require a client library, https://github.com/tembo-io/pgmq so long as your language of choice can run SQL. All the functions live in Postgres, and you just call them with SQL statement. Very similar feel and semantics to SQS.
ML-For-Beginners
-
Good coding groups for black women?
- https://github.com/microsoft/ML-For-Beginners
Also check out this list Pitt puts out every year:
- FLaNK Stack Weekly for 20 Nov 2023
- ML for Beginners GitHub
-
is it worth learning NLP without master degree?
I don't recommend just jumping in into natural language processing directly without understanding artificial intelligence theory. I personally recommend for you to start with the basic stuff (regression, classification, and clustering, for example), and then jump into more advanced topics. You already know software developer stuff, so that's a big step already, and it should be easier to understand some concepts. Maybe follow Microsoft's machine learning for beginners curriculum? It looks like a good roadmap overall to not instantly burn out on nlp
- AI i Machine Learning
- I want to learn more about AI and Machine Learning
-
Pocetak ML karijere
https://github.com/microsoft/ML-For-Beginners jel mislis na ovo?
- How could I have known
- GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- How do I reset my career after already getting my masters?
What are some alternatives?
pg-boss - Queueing jobs in Node.js using PostgreSQL like a boss
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
kubeblocks - KubeBlocks is an open-source control plane that runs and manages databases, message queues and other data infrastructure on K8s.
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
FLaNK-EveryTransitSystem - Every transit system
pycaret - An open-source, low-code machine learning library in Python
torchgeo - TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
CML_AMP_Intelligent-QA-Chatbot-with-NiFi-Pinecone-and-Llama2 - The prototype deploys an Application in CML using a Llama2 model from Hugging Face to answer questions augmented with knowledge extracted from the website. This prototype introduces Pinecone as a database for storing vectors for semantic search.
pyVHR - Python framework for Virtual Heart Rate
screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
S2ML-Art-Generator - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content [Moved to: https://github.com/justin-bennington/S2ML-Generators]