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Use case: I have a directory with a large amount of pydantic models and enums are mixed together in several directories. It is difficult to discern which is a model and which is an enum from naming a…
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we use the Pytorch backend for the distillation process, and download the model at /prep-run-train/output/models/task.0000 by "dpgen2 download ..." command, then get a model: model.ckpt.pt, and frozen…
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## Problem statement
When generating spec from code, using structs with the same name from different packages results in their model definitions getting mixed up. **This is a major problem when int…
ghost updated
11 months ago
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#### Description
I suggest allowing mixed datasets (half binary variables, half real-valued variables) into the Naive Bayes classifier. Currently the `GaussianNB` and `BernoulliNB` classes handle one…
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I am using glmmTMB package fitting mixed effects models. Due to the spatial effect of my model was assumed to follow the conditional autoregressive distribution, I noticed glmmTMB provides three Spati…
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llama3-sft.yaml
```yaml
### model
model_name_or_path: models/llama-3-8b-Instruct
### method
stage: sft
do_train: true
finetuning_type: full
deepspeed: examples/deepspeed/ds_z3_config.json
…
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Dear team MicrobiomeStat,
I am appreciate very much your software contribution. I am new using Lineal Mixed models.
Please can you suggest me If I am used my data correctly.
In my experiment…
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![Video from awesomescreenshot.com](https://awevideo.s3.amazonaws.com/video-1547059-32a3d90c405eb3615869ebae8a380ac9_960x540.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAJSCJQ2NM3XLFPVKA%…
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I'm really impressed with the speed and usability of NEBULA, great work! My data set has barcoded cells that are unique to each classified group, as such, I'd like to be able to incorporate clonal bar…
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### 🚀 The feature, motivation and pitch
Consider implementing BFloat16 addition/subtraction operations with stochastic rounding, as it is critical for training large models with the BFloat16 optimi…