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[Graph neural network-inspired kernels for gaussian processes in semi-supervised learning](https://arxiv.org/abs/2302.05828)
```bib
@article{niu2023graph,
title={Graph neural network-inspired ker…
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### Proposal to improve performance
Improve bitsandbytes quantization inference speed
### Report of performance regression
I'm testing llama-3.2-1b on a toy dataset. For offline inference using the…
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Some more classic ML examples that might be interesting:
- [ ] Graph Neural Networks (message passing) with the sparse indices
- [ ] Optimizers (ADAM / AdaGrad, not sure if they are interesting t…
srush updated
3 years ago
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**Title**
Kernel methods library for machine learning applications
**Presentor and Affiliation**
Pradeep Reddy Raamana,
Rotman Research Institute, Baycrest Health Sciences,
University of Toro…
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Hello,
convert.py script failed while I was trying to convert the imagenet trained inceptionV3 model ( downloaded from https://github.com/fchollet/deep-learning-models/releases/download/v0.5/inceptio…
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Hey team, I'm suffering high triton kernel launch overhead. Here's my nsys capture:
![CleanShot 2023-11-10 at 10 28 53](https://github.com/openai/triton/assets/552990/d62f05c8-b00c-43fc-b1c7-0680a998…
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I am wondering what the current state of JAX is with respect to loop fusion; or what the roadmap looks like.
In the simplest example, if we have an expression a * x + b of JAX scalars, and weve vma…
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Has anyone applied MCTS to the saturation phase, rather than trying to achieve full saturation?
I'm dealing with large expressions like
```
((z/(((((((((((((w+153)/2)/2)/2)/2)/2)+-5)*4)+9)/2)/2)…
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We’re looking to extend the TensorBoard user interface to display interesting GPU details for each node in a neural network. The GPU Details that we plan to display focus on the usage of tensor cores…
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Good morning,
Context & Issue
======
I am currently in the process of discovering DeepGPs as part of a school project.
I have already tried to use a library created by the Sheffield ML group, …