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Our implementation supports ensembling of multiple models trained on the same graph. However, in general, ensembling can be done in the same way on different architectures.
The input to the ensembl…
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I want to use my own metric, but I get a lot of troubles during implementing this. Many of them the are related to each other. So, I hope I will solve all of them.
E.g. if I use this code with 5 minu…
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# Course schedule
# Warning, this course is **not free**
## Content: math & theory focus
* Learning-based:
+ Linear regression
+ logistic regression
+ SVM
* Ensemble based:
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I am using this repo to ensemble multiple models but I want to convert to mobile application. Is there a way to convert to this method?
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# UQ4ML – Uncertainty Quantification Techniques in Machine Learning Models
This session focuses on uncertainty quantification (UQ) techniques in machine learning models and their applications acros…
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- [ ] removing preprocessing from the baseline code
- [ ] relacing acronyms with the collected list of mappings
- [ ] voter classifier
* @sogol-golafshan clean code, run it
@mahdi-whip needs…
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**Is your feature request related to a problem? Please describe.**
When use compare_model, I can use n_select to pick n number of models with high metric. Usually when ensemble even not top model wil…
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### System Info
GPU: NVIDIA A100
Driver Version: 545.23.08
CUDA: 12.3
versions:
https://github.com/NVIDIA/TensorRT-LLM.git (bf0a5af)
https://github.com/triton-inference-server/tensorrtllm_ba…
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/kind feature
**Describe the solution you'd like**
This will solve the issue of transformer redundancy when the first or last node in the InferenceGraph has multiple models (in a splitter or ensem…
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Is the a way to use the libaray for pretrained model?
suppose that I have 4 alreay trained models, and I want to just ensemble them.. Is there a way to do that ?