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### clang version:
Apple clang version 15.0.0 (clang-1500.1.0.2.5)
Target: arm64-apple-darwin23.1.0
Thread model: posix
### Issue Summary:
After enabling optimization, Clang consistently gener…
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Prior to filing: check that this should be a bug instead of a feature request. Everything supported, including the compatible versions of TensorFlow, is listed in the overview page of each technique. …
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Hello,
I tried the 'Optimization Tutorial' (https://amoeba2.readthedocs.io/en/latest/notebooks/optimization.html) and when I copy and paste the code exactly to optimise the fit of the simulated dat…
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### 🚀 The feature, motivation and pitch
Contrastive Decoding (Li et al., 2022) is a decoding strategy that contrasts the log probabilities of two or more models at each token to shift the token dis…
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To make sure we can all reproduce the results of this project, i suggest we put on GH the code that:
- fetches a specific version of the dataset
- loops through all subjects
- perform whatever prep…
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**What**
When building up benchmark for Ribasim, it has come to attention that if I run a model with allocation twice, I will get different water balance. This is because some optimization problems h…
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Add support for advanced optimization algorithms like Adam, RMSprop, and AdaGrad to enhance the convergence speed and improve performance on complex datasets.
**Objective**:
Enable users to select …
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Modeling is currently done on the CPU. The matrix multiplications may be sped up by using tensorflow with the GPU backend.
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**Learning Goals:**
- Understand the concept and use of the Random Forest Classifier and K-Nearest Neighbors (KNN) algorithm.
- Learn how to preprocess medical data for machine learning, particula…
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The repository contains examples to fine-tune the model using Supervised Fine Tuning. I wish to add examples of Transformer Reinforcement Learning (TRL) particulary [Direct Policy Optimization (DPO)](…