tinygrad
postgres_exporter
tinygrad | postgres_exporter | |
---|---|---|
17 | 15 | |
24,018 | 2,557 | |
3.3% | 2.2% | |
10.0 | 7.9 | |
6 days ago | 5 days ago | |
Python | Go | |
MIT License | 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.
tinygrad
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AMD Unveils Ryzen 8000G Series Processors: Zen 4 APUs for Desktop with Ryzen AI
Not sure if I completely understand what "Ryzen AI" does, but Tinygrad for example has some limited support for RDNA3[0]. It isn't quite there yet in matters of performance though, as you can read in the comments of that file.
There's also a small tutorial by AMD on how to use the WMMA intrinsic[1] using AMD's hipcc[2] compiler. Documentation is sparse kinda sparse, but the instruction set is not huge. The RDNA3 ISA guide[3] might also be helpful (and only a fraction of the pages are relevant.)
0. https://github.com/tinygrad/tinygrad/blob/master/extra/gemm/...
1. https://gpuopen.com/learn/wmma_on_rdna3/
2. https://github.com/ROCm/HIPCC
3. https://www.amd.com/content/dam/amd/en/documents/radeon-tech...
- Tinygrad 0.8.0 Release
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Beyond Backpropagation - Higher Order, Forward and Reverse-mode Automatic Differentiation for Tensorken
This post describes how I added automatic differentiation to Tensorken. Tensorken is my attempt to build a fully featured yet easy-to-understand and hackable implementation of a deep learning library in Rust. It takes inspiration from the likes of PyTorch, Tinygrad, and JAX.
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[D] What is a good way to maintain code readability and code quality while scaling up complexity in libraries like Hugging Face?
what do you think about tinygrad? I think its a good example of growing and well written, (partially) well documented library with many close to reference implementations
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AMD MI300 Performance โ Faster Than H100, but How Much?
The idea of model architecture making fast hardware design easier is what makes https://github.com/tinygrad/tinygrad so interesting.
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๐ป 7 Open-Source DevTools That Save Time You Didn't Know to Exist โ๐
๐ Support on GitHub Website: https://tinygrad.org/
- Tinygrad
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How to train an Iris dataset classifier with Tinygrad
Before we begin, make sure you have TinyGrad and the required dependencies installed. You can find the installation instructions here.
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Decomposing Language Models into Understandable Components
Try to get something like tinygrad[1] running locally, that way you can tweak things a bit run it again and see how it performs. While doing this you'll pick up most of the concepts and get a feeling of how things work. Also, take a look at projects like llama.cpp[2], you don't have to fully understand what's going on here, tho.
You may need some intermediate knowledge of linear algebra and this thing called "data science" nowadays, which is pretty much knowing how to mangle data and visualize it.
Try creating a small model on your own, it doesn't have to be super fancy just make sure it does something you want it to do. And then ... you'll probably could go on your own then.
1: https://github.com/tinygrad/tinygrad
2: https://github.com/ggerganov/llama.cpp
- Tinygrad 0.7.0
postgres_exporter
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๐ป 7 Open-Source DevTools That Save Time You Didn't Know to Exist โ๐
๐ Support on GitHub Website: http://prometheus.io/community
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Tools to inspect/audit Postgres DBs
An easy way forward would be to export it as a metric through something like https://github.com/prometheus-community/postgres_exporter and then set up an alert on the metric reporting >= 1.
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How to integrate coroot-pg-agent with prometheus
We use postgres as RDBMS for our database needs and if you guys are already using postgres_exporter(https://github.com/prometheus-community/postgres_exporter) for exporting PostgreSQL server metrics to prometheus, then you can surely give coroot-pg-agent a try.
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Pg-agent โ a Postgres exporter for Prometheus focusing on query performance statistics
Itโs not that simpleโฆhttps://github.com/prometheus-community/postgres_exporter :)
- Given an ansible playbook, how do I "execute" it on a server?
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Tips for a Healthier Postgres Database
New server and want a basic config for a production server? (I'm assuming brand new app here, no prior monitoring and knowledge on what to tune.)
Use this to get the values you need https://pgtune.leopard.in.ua/#/ .
This saved me a lot of headaches, and it just gets the server into a good enough state from which you can observe and optimise later.
I'd also add in monitoring early, add a Prometheus exporter https://github.com/prometheus-community/postgres_exporter and alerts https://awesome-prometheus-alerts.grep.to/rules#postgresql . There are a few Grafana dashboards available for the prometheus exporter, start with those.
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Prometheus exporter preference: postgres_exporter vs pg_exporter?
Iโm setting up some monitoring for a PostgreSQL instance and came across two seemingly mature projects for Prometheus monitoring, those being postgres_exporter and pg_exporter . From the outside it looks like postgres_exporter is linked from the Prometheus pages, but has fewer recent updates, and pg_exporter has a smaller user base but a more active development community.
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Top PostgreSQL monitoring metrics for Prometheus โ Includes cheat sheet
PostgreSQL monitoring with Prometheus is an easy thing to do thanks to the PostgreSQL Exporter.
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PostgreSQL vs Prometheus
Thanks, that is probably a better fit. I was looking to use this part of the PostgreSQL exporter: https://github.com/prometheus-community/postgres_exporter/blob/master/queries.yaml and just not care about the metrics about Postgres itself.
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Custom healthcheck and alerting tool
The postgres_exporter provides the data about the state of replication. Then you have rules like these to validate the data.
What are some alternatives?
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
pg_exporter - postgres exporter for prometheus
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
coroot-pg-agent - A Prometheus exporter for Postgres focusing on query performance statistics
llama.cpp - LLM inference in C/C++
node_exporter - Exporter for machine metrics
llama - Inference code for Llama models
runbooks
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supabase - The open source Firebase alternative.
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
Trickster - Open Source HTTP Reverse Proxy Cache and Time Series Dashboard Accelerator