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yeldarb
searching PlanetScale…
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31.
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by
yeldarb
2y ago
Tried it a few weeks ago for a task (had a few dozen files in an open source repo I wanted to write tests for in a similar way to each other). I gave it one example and then asked it to do the work for the other files. It was able to do abo
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Nano-Llama31
(github.com)
3 points
by
yeldarb
2y ago
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0 comments
33.
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by
yeldarb
2y ago
Is this an editorialized list? Or is there some sort of programmatic filter applied? Would have expected to see our repo, roboflow/sports, here given 1211 new stars (4.3x) this week. https://star-history.com/#roboflow&#
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by
yeldarb
2y ago
Anyone know if there’s a way to get access to devices in a container on MacOS yet? (Eg USB webcam, MPS or CUDA accelerator)
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by
yeldarb
2y ago
FWIW you can use roboflow models on-device as well. detect.roboflow.com is just a hosted version of our inference server (if you run the docker somewhere you can swap out that URL for localhost or wherever your self-hosted one is running).
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Repository for Meta Chameleon a mixed-modal early-fusion foundation model
(github.com)
2 points
by
yeldarb
2y ago
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0 comments
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4M: Multimodal Masked Modeling
(github.com)
1 points
by
yeldarb
2y ago
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0 comments
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NanoDO: A minimal Transformer decoder-only language model implementation
(github.com)
12 points
by
yeldarb
2y ago
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1 comments
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Clip Meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement
(machinelearning.apple.com)
4 points
by
yeldarb
2y ago
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0 comments
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by
yeldarb
2y ago
Don't see a license listed in the repo; presumably needs to be the same as Meta's Llama 3 license?
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OmniGlue: Generalizable Feature Matching with Foundation Model Guidance
(github.com)
2 points
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yeldarb
2y ago
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0 comments
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by
yeldarb
2y ago
It’s very good. And the cool thing is it’s made for fine tuning also. Excited to see how fine-tuned OCR models do.
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by
yeldarb
2y ago
How it does this is really cool. It’s got a VAE decoder. Reminds me a lot of how SAM works.
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Paligemma: A versatile and lightweight vision-language model (VLM)
(huggingface.co)
4 points
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yeldarb
2y ago
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0 comments
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Barkour Robot: Agile Quadruped Robots by Google DeepMind
(github.com)
2 points
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yeldarb
2y ago
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1 comments
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NnScaler converts models designed for one GPU to run concurrently on multiple
(github.com)
5 points
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yeldarb
2y ago
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0 comments
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TimesFM: Time Series Foundation Model for time-series forecasting
(github.com)
317 points
by
yeldarb
2y ago
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118 comments
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by
yeldarb
2y ago
Love the concept. I've used vast.ai (similar "Airbnb for GPUs" pitch) for years to spin up cheap test machines with GPUs you can't really find in the cloud (and especially consumer-grade GPUs like 4090s). Any insight int
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by
yeldarb
2y ago
Found this really cool; I didn’t even know Deepmind was working on Fusion research https://www.wired.com/story/deepmind-ai-nuclear-fusion/
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Google DeepMind at ICLR 2024
(deepmind.google)
1 points
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yeldarb
2y ago
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0 comments
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by
yeldarb
2y ago
> Also if this sort of data optimization stuff actually does add new laws of physics, that seems weird, right? I guess maybe we’re just a game. But if the super-alien things are trying to study something, then these extra laws of physics
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TORAX is a differentiable tokamak core transport simulator
(github.com)
105 points
by
yeldarb
2y ago
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21 comments
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The fundraising memo Rippling used to raise their $790M financing
(rippling.com)
4 points
by
yeldarb
2y ago
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0 comments
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by
yeldarb
2y ago
> While Transformers have enabled tremendous progress in various application settings, such architectures still lag behind traditional symbolic planners for solving complex decision making tasks. In this work, we demonstrate how to trai
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Searchformer: Beyond A* – Better planning with transformers via search dynamics
(github.com)
181 points
by
yeldarb
2y ago
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28 comments
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Apple Hugs: Human Gaussian Splats (CVPR 2024)
(github.com)
11 points
by
yeldarb
2y ago
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4 comments
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HuggingFace JAT: Distributed online training of a general multitask RL Agent
(github.com)
4 points
by
yeldarb
2y ago
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0 comments
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OpenAI Security Bots
(github.com)
2 points
by
yeldarb
2y ago
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1 comments
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by
yeldarb
2y ago
Not using transformers, but we do object detection in the browser with small quantized yolo models that are about 7mb and run at 30+ fps on modern laptops via tensorflow.js and onnxruntime-web. Lots of cool demos and real world applications
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ESLint v9.0
(eslint.org)
95 points
by
yeldarb
3y ago
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47 comments
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