roadmap
llm-cluster
| roadmap | llm-cluster | |
|---|---|---|
| 11 | 3 | |
| 187 | 58 | |
| 1.1% | - | |
| 1.7 | 4.9 | |
| 10 months ago | 2 months ago | |
| Python | ||
| - | Apache License 2.0 |
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.
roadmap
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Embeddings: What they are and why they matter
In case anyone is interested, Heroku finally released pgvector support for Postgres yesterday: https://github.com/heroku/roadmap/issues/156
Pgvector is an extremely excellent way to experiment with embeddings in a lightweight way, without adding a bunch of extra infrastructure dependencies.
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11 Years of Hosting a SaaS
(I work at Heroku) Do you have more details on what sucks? Anything we're not already tracking to fix in our public roadmap? https://github.com/heroku/roadmap/issues
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Is there any updates as to when Heroku will support IPv6?
"GitHub - heroku/roadmap: This is the public roadmap for Salesforce Heroku services." https://github.com/heroku/roadmap
- Introducing Our New Low-Cost Plans [Heroku]
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Heroku - If I have a paid dyno can I keep my free ones? (using paid for production, using free for dev and staging)
You can upvote here to try get a version of free back - https://github.com/heroku/roadmap/issues/51
- Let’s try and make free come back
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Heroku Free Tier
I proposed this -> https://github.com/heroku/roadmap/issues/51 on the Heroku roadmap - hopefully to bring back some sort of free trial environment. Please take a look an upvote if you agree:
- Heroku make their development roadmap public on GitHub
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Heroku's Next Chapter
The public roadmap is a good idea but highlights how stale the product has become. https://github.com/heroku/roadmap/issues Only now researching adding Cloud Native Build Packs and HTTP2.
This will reaffirm for many the sense that Heroku is being dismantled from within. Feature sunsetting and removal of a free on-ramp doesn't help.
If you're looking for a production alternative to Heroku checkout Northflank.
https://northflank.com
llm-cluster
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Embeddings: What they are and why they matter
I'm trying to understand the clustering code but not doing too well.
https://github.com/simonw/llm-cluster/blob/main/llm_cluster....
So does this take each row from the DB, convert to a numpy array (?), then uses an existing model called MiniBatchKMeans (?) to go over that array and generate a bunch of labels. Then add it to a dictionary and print to console.
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LLM now provides tools for working with embeddings
I imagine there are all kinds of improvements that could be made to this kind of thing.
I'd love to understand if there's a good way to automatically pick an interesting number of clusters, as opposed to picking a number at the start.
https://github.com/simonw/llm-cluster/blob/main/llm_cluster....
What are some alternatives?
cgm-remote-monitor - nightscout web monitor
telekinesis - Control Objects and Functions Remotely
piku - The tiniest PaaS you've ever seen. Piku allows you to do git push deployments to your own servers.
DBoW2 - Enhanced hierarchical bag-of-word library for C++
flyctl - Command line tools for fly.io services
datasette-faiss - Maintain a FAISS index for specified Datasette tables
Dokku - A docker-powered PaaS that helps you build and manage the lifecycle of applications
DP_means - Dirichlet Process K-means
create-t3-app - The best way to start a full-stack, typesafe Next.js app
bert - TensorFlow code and pre-trained models for BERT
superfly-flyctl
vectordb - A minimal Python package for storing and retrieving text using chunking, embeddings, and vector search.