sadiq

5 ms·

1.
Just Fix the Damned Potholes(notesfromalex.substack.com)
2 points by sadiq 8mo ago|0 comments
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An SVG is all you need(jon.recoil.org)
347 points by sadiq 9mo ago|148 comments
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Foundations for Hacking on OCaml(kcsrk.info)
2 points by sadiq 10mo ago|0 comments
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KernelFalcon: Autonomous GPU Kernel Generation via Deep Agents(pytorch.org)
3 points by sadiq 11mo ago|0 comments
5.
by sadiq 1y ago
It's worth looking at Jan's trophy cabinet at the bottom of https://github.com/ocaml-multicore/multicoretests/ His work has uncovered a number of really tricky bugs in the multicore runtime but what&#x27
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by sadiq 1y ago
So the interactive map should do this workflow for you. You place points and it will run the knn classifier over the landscape for you. If you want to go further you can export the GeoJSON and then run it through any machine learning pipeli
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by sadiq 1y ago
I would try https://github.com/ucam-eo/tessera-interactive-map , this is relatively easy to get started with and has a nice interface for labeling. https://github.com/ucam-eo/geotessera has an ima
8.
by sadiq 1y ago
It's possible to use embeddings as input to a convolutional network and then train that using labels. We've done that for at least one of the downstream tasks in the TESSERA paper: https://arxiv.org/abs/2506.2
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by sadiq 1y ago
I was a lot more optimistic about Gabriel's model than he was. It is essentially a presence-only species distribution model where accuracy depends largely on assumptions around prevalence and which really needs some presence-absence da
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by sadiq 1y ago
We did note several places during the trip that didn't contain bramble. The hotspot in the middle of the residential area was also entirely isolated. For a proper evaluation you would need to be more methodological but as a sanity-chec
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by sadiq 1y ago
It might work. TESSERA's embeddings are at a 10 metre resolution, so it might depend on the size of the features you are looking for. If those features have distinct changes in colour or texture over time or they scatter radar in diffe
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by sadiq 1y ago
If you have some GPS locations of truffles, you could use the notebook Anil mentioned here https://news.ycombinator.com/item?id=45378855 and give it a go. There is the issue of just how visible truffles are from space thoug
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by sadiq 1y ago
That's actually a great idea! I wonder what kind of feature size would be needed though - TESSERA's embeddings are at a 10 metre resolution so for larger structures you might need some kind of spatial aggregation.
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by sadiq 1y ago
Hyperspectral data is really neat though it's worth pointing out that TESSERA is only trained on multispectral (optical + SAR) data. You are very right on the temporal aspect though, that's what makes the representation so powerfu
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by sadiq 1y ago
Yes! TESSERA is very new so we're still exploring how well it works for various things. We're hoping to try it with a few different things for our next field trip, maybe some that are much harder to find than brambles.
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by sadiq 1y ago
Hi! You can find a bit more about Gabriel's model through some of his posts over the last few weeks: https://gabrielmahler.org/posts/ When it comes to the satellite images, the model actually used TESSERA ( https:
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Can a model trained on satellite data really find brambles on the ground?(toao.com)
178 points by sadiq 1y ago|53 comments
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by sadiq 1y ago
You might find https://arxiv.org/abs/2401.17377v3 interesting..
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by sadiq 1y ago
Looks like Groq (at 1k+ tokens/second) and Fireworks are already live on openrouter: https://openrouter.ai/openai/gpt-oss-120b $0.15M in / $0.6-0.75M out edit: Now Cerebras too at 3,815 tps for $0.25M /
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by sadiq 1y ago
Excellent, look forward to giving this a go. I was looking at: https://arxiv.org/abs/2506.18254 but your approach is even more general.
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by sadiq 1y ago
This is a really nicely written and illustrated post. An advanced extension to this is that there are algorithms which calculate the number of records to skip rather than doing a trial per record. This has a good write-up of them: https:&#
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by sadiq 1y ago
This is good though it's not clear whether these papers will appear in the PMC Open Access subset ( https://pmc.ncbi.nlm.nih.gov/tools/openftlist/ ) and be bulk downloadable. I've been doing some work with
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by sadiq 1y ago
There's a related write-up here you might find interesting: https://wandb.ai/learning-at-home/LM_OWT/reports/Parameter-s... It covers some experiments on weight tying, one of which is actually LoRA and r
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Unsloth Now Supports GRPO(github.com)
3 points by sadiq 2y ago|0 comments
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Beyond functional programming: a taste of Verse (Simon Peyton Jones) [video](youtube.com)
2 points by sadiq 3y ago|0 comments
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by sadiq 3y ago
For 5.0+ you might want to look at https://github.com/ocaml-multicore/eio for how effects can make async much more pleasant
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by sadiq 3y ago
There will also be DynArrays in the stdlib from 5.2: https://github.com/ocaml/ocaml/pull/11882
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OpenLLaMA: An Open Reproduction of LLaMA(github.com)
484 points by sadiq 3y ago|180 comments
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by sadiq 3y ago
Great that there's a new edition of this coming. This is the definitive reference if you work with garbage collectors, it's also very well written.
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The Transformer Family Version 2.0(lilianweng.github.io)
2 points by sadiq 4y ago|0 comments

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