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![image](https://user-images.githubusercontent.com/5270036/44235210-a501d480-a1a0-11e8-9984-a9a7cf93b057.png)
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Wanna try more stuff?
- [x] DNN on Tensor Flow
- [x] SVM with sklearn
- [ ] Image classification stuff
- [ ] Bayesian Classifier?
- [ ] Random forest?
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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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Roy is trying out on Deep Evolutionary + 2 other RL model types possible Deep Deterministic Policy Gradient etc
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### 🚀 The feature, motivation and pitch
AdEMAMix combines Adam and EMA optimization techniques. It addresses slow convergence and poor generalization in large language models and noisy datasets using…
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### Checks
- [X] This is not a duplicate of an existing issue (please have a look through our [open issues list](https://github.com/TheOdinProject/curriculum/issues) to make sure)
- [X] I have tho…
Leo-U updated
3 months ago
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○ Time: 2 weeks
○ Details Needed: Access to historical data, Validation techniques (cross-validation)
○ Steps:
1. Access historical NFL data from the centralized data warehouse.
2. Imp…
zepor updated
1 month ago
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I would like to know what is the best way to freeze parameters in a model using `nnx` and `optax` (https://flax.readthedocs.io/en/latest/guides/training_techniques/transfer_learning.html#optax-multi-t…
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https://arxiv.org/abs/1707.00225
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# Learning Latent Embeddings
An overview of commonly used techniques associated with latent embeddings
[https://www.mfshi03.com/blog/latent-space?utterances=796c9b49f60e9517f430a6b6xNpoTOxqrx%2FrN4P…