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Predicting power consumption from assembly code is a challenging and valuable task with several potential applications, especially in the context of optimizing software for energy efficiency and impro…
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In theory, MQA/GQA can reduce memory bandwidth for reading KV cache and enable using TensorCore for the dot products in attention mechanism. However, this benefit can be only realized when using optim…
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**Describe the bug**
In URBPARM.TBL we have:
```
#
# AH: Anthropogenic heat [ W m{-2} ]
# (sf_urban_physics=1)
#
AH: 20.0, 50.0, 90.0
#
# Anthropogenic Heating diurnal profile.…
epn09 updated
3 months ago
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I modified your code for my problem. I added regularization terms in Embedding layers. But when I train the model, both test loss and val loss go to 0.5. I guess this is because both user and item lat…
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Hello,
I would like to make spatial predictions for an Hmsc model with a spatial random effect. I have two questions here:
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1. The `predict` function is very slow. In a toy model with o…
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### Session description
[WebCodecs](WebCodecs) provides a low-level API to do encoding and decoding of video with control over settings on a per-frame basis. As a relatively young API it currently la…
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### Feature Description
Implicit's ALS and LightFM provide partial_fit capability.
https://benfred.github.io/implicit/api/models/cpu/als.html#implicit.cpu.als.AlternatingLeastSquares.partial_fit_us…
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Hi Emilien! Just wanted to first say thanks for the repository. It's a very clean implementation, that I found very helpful to understand the main trick within CONCRETE.
I am using VAEs to create e…
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Thank you for your repo. I meet with some problems reading the codes and the paper.
Q1. In `fd_waterbird.py`, I can't find the code coresponding to $P(R|X)$. It seems that you are simply dropping s…
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Hi, thank you for posting the demo code. I have one question regarding the execution time of the theano implementation of matrix factorization and it would be greatly appreciated if you could give me …