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Hey! I wanted to see if you guys had any reference code / hyperparameters for SAC solving any of the tabletop tasks using RGB(D) data only and no proprioceptive state information. Thanks!
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Hi,
I am doing a PhD in nonlinear optics in which we encounter several semilinear parabolic PDE like the Nonlinear Schrödinger Equation (NLSE) and its variant.
Most of these PDEs are semilinear …
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I am exploring options for data compression and decompression on AMD GPUs within the ROCm or HIP. Specifically, I am interested in finding a lossless compression algorithm that can efficiently compres…
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**Description of new feature**
networkx has an ability to [use GPUs to accelerate algorithms](https://docs.rapids.ai/api/cugraph/nightly/nx_cugraph/nx_cugraph/) resulting in [orders of magnitude fa…
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Hello,
I'm having trouble implementing the GPU support.
When I run the reconstruction without GPU support, it works as expected, but when I add in the line to run it on the GPU, the reconstructi…
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**Is your feature request related to a problem? Please describe.**
I would like to have a GPU-accelerated version of the PaCMAP algorithm, a competitor to UMAP. Personally, I would use this with t…
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Hi authors,
Thanks for your excellent work! We are currently training the algorithm on our own dataset. However, our training times are quite a bit longer than what you achieved. It says in the pape…
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how to free gpu memory allocated by nvcomp? The code will allocate 24GB GPU memory and free until code end.
```
import numpy as np
from nvidia import nvcomp
import torch
import gc
alogs = ['lz4'…
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