-
Look at how distributed memory ML benchmarks perform across different systems. Could be based on the work that Dell have described in their blogs:
http://en.community.dell.com/techcenter/high-perfo…
-
In https://github.com/GeostatsGuy/DataScience_Interactive_Python/blob/main/Interactive_Model_Fitting.ipynb
the bullets (near the top) for "Ordinary Least Squares Fitting" and "Maximum Likelihood Fitt…
-
### What would you like to be added?
Relax [validation](https://github.com/kubernetes/kubernetes/blame/b510f785e6f65cf10ed80b0eb032e867676c49a7/pkg/apis/batch/validation/validation.go#L290-L290) en…
-
### System Info
- `transformers` version: 4.42.0.dev0
- Platform: Linux-5.15.0-1045-aws-x86_64-with-glibc2.31
- Python version: 3.10.9
- Huggingface_hub version: 0.23.4
- Safetensors version: 0.4…
-
**Describe the bug**
Hello,Can some one get Help. I use V0.14.3, installed from source code tar.gz: https://github.com/melMass/DeepSpeed/releases
I use deepspeed Zero3, and training LLama Factory KT…
-
**Describe the issue**:
`dask_ml.compose.ColumnTransformer` does not work with objects of types `dask_expr._collection.DataFrame` or `dask.dataframe.core.DataFrame`.
**Minimal Complete Veri…
-
Below queries rely on cuML models from for ML GPU . Depending on the performance we need to decide b/w Distributed (dask-ml) vs non distributed (sklearn) implementation for the ML portion of these q…
-
MLX is a new ML framework specifically designed to run on Apple silicon: https://github.com/ml-explore/mlx
It has some differences compare to PyTorch with `mps` backend: https://github.com/ml-explo…
-
### Context
GPUs are a limited resource at many cloud vendors. Even more Challenges include that these resources is finely grained between specific GPU models and not uniformily distributed across re…
-
### Description
Hi,
This is the only Terraform script from @sfloresk I could find that gives a complete example of running distributed training workloads with GPUs on AWS:
https://github.com/aw…