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- [ ] Train different models with mixed precision and inspect if it doesn't break the API, leads to better performance at similar accuracy without leading to numeric instabilities / NaN loss.
- [ ] B…
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[2024-09-09 20:59:06] [INFO] Running F:\fluxgym\fluxgym\train.bat
[2024-09-09 20:59:06] [INFO]
[2024-09-09 20:59:06] [INFO] F:\fluxgym\fluxgym>accelerate launch --mixed_precision bf16 --num_cpu…
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```
For both cpu, and gpu implementations, including implementing derivatives.
```
Original issue reported on code.google.com by `daniel.a...@gmail.com` on 7 Jan 2010 at 2:44
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## Environment
### Hardware Environment(`Ascend`/`GPU`/`CPU`): CPU/GPU
### Software Environment:
- **MindSpore version (source or binary)**: 2.2.14
- **Python version (e.g., Python 3.7.5)…
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**What needs to be cleaned up?**
Right now our data models are mixed up with our domain models. This eliminates duplicate code, but makes the models very brittle as any change to the domain model n…
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Reading this:
https://www.journalofcognition.org/articles/10.5334/joc.10/
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Following the vignette
http://www.bioconductor.org/packages/release/bioc/vignettes/muscat/inst/doc/analysis.html
gave consistent results through step 2.4 (data preparation) yielding a set with…
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Hi all,
I was working with mixed effect models for continuous, binary and count data quite extensively for some demographic models last spring. I was considering running a 1-hour workshop on “dead s…
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### System Info
```Shell
- `Accelerate` version: 0.31.0
- Platform: Linux-5.15.0-125-generic-x86_64-with-glibc2.35
- `accelerate` bash location:
- Python version: 3.10.12
- Numpy version: 1.2…
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Hi,
I had question about how kronos handles repeated sampling? I'm not familiar with circadian statistical modeling, but when we use mixed effects linear regression modeling, it is typical for you…