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Hi, it seems that `jax.scipy.linalg.expm` 's implementation is based on
"The Scaling and Squaring Method for the Matrix Exponential Revisited"
by Higham, Nicholas J. 2005 which is also featured in "…
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Hey,
I noticed that for very large amount of text data, the algorithm takes a long time to finish.
We can probably not simplify the pytorch models (or can we?), but maybe the authors could write …
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### 🐛 Describe the bug
I found the example that specifying a CUDA stream using a with-context does not work as expected.
```python
with torch.cuda.stream(my_stream):
dist.all_reduc…
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Working in the `linear` branch.
The linear algorithm, just increasing the number of nodes in the single, hidden layer, completely overloads the system I'm working on. This does not bode well for t…
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Hi! Can anybody provide an already trained model through an external link. This will save a lot of time as my system lacks a GPU as of now.
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**Is your feature request related to a problem? Please describe.**
I'm using nvCOMP to load data from disk to GPU, and don't care about compression but do care about getting the best compression rati…
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Hi
Following the example in: https://github.com/rapidsai-community/notebooks-contrib/blob/main/community_tutorials_and_guides/census_education2income_demo.ipynb
I have a laptop with 11th Gen Intel…
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I'm very interested in using this package for my office work. It perfectly complements existing suite of tools that come with Spark. I'm particularly interested in:
1. LightGBM and Deep Learaning a…
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I have been training it for about 4000 episodes(about 7 hours on one NVIDIA GeForce GTX1060 GPU), but the performance is still not good.I don't know how to observe the training process such as loss wi…
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Planned improvements for LinearAlgebra module.
## Features
- [ ] Distributed support
- [ ] GPU support via cuBLAS / clBLAS
- [ ] Feature completeness of dense local linear algebra (https://githu…