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- Add simple Ensembling methods, such as TopModel, WeightedEnsemble and AverageEnsemble
- Discover the best practises of FE methods for classification/regression of table-like datasets
- Perform the…
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1. [1st Place Solution to Google Landmark Retrieval 2020](https://storage.googleapis.com/kaggle-forum-message-attachments/978542/16699/1st_Place_Solution_to_Google_Landmark_Retrieval_2020_modified.pdf…
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![image](https://user-images.githubusercontent.com/31937616/68344347-a835f880-00a3-11ea-957c-c4ef7f26c13e.png)
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On CUDA, when the convolution batching rule uses group convolutions, this sometimes ends up being slower that we expect on older hardware. This is probably because PyTorch's group convolution calls th…
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## Competition link
https://www.kaggle.com/c/birdclef-2021
## Evaluation
row-wise micro averaged [F1 score](https://en.wikipedia.org/wiki/F1_score).
## top10 solutions
[1st](https://w…
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Label: Current
- [ ] Introduction
- [ ] Guidelines
- [ ] Iterative
[ChatGPT Prompt Engineering - Course](https://learn.deeplearning.ai/chatgpt-prompt-eng/lesson/1/introduction)
Related
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Did you consider using more datasets?
And how about regression problems?
There is for example this benchmarking suite, accessible via the OpenML packages: [https://arxiv.org/abs/1708.03731](htt…
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I’ve been spending time reading the preface, intro and first chapter.
I’ve have several dozen comments to make, on just this section so far. Some are suggestions for wording - and some are fundamen…
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Hi,
Thanks for the great library.
I was wondering if this library support averaging? I mean, maintaining an averaged parameter that is going to be used in decoding.
Thanks
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## Problem statement
1. image와 language pair의 관계에 대한 multi-modal pre-training을 넘어서, language supervision과 image self-supervision을 통해 데이터 효율을 높여본다.
- CLIP + SimCLR(image supervision)을 해보자
##…