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When layer biases are initialized within PsyNeuLink during the creation of a Pytorch model they are set to be zero (see: `pytorchmodelcreator.py:84`)
However, the standard Pytorch behaviour is to r…
SamKG updated
4 years ago
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I would like to express a concern which might appear trivial to many but is actually very important in how people architect and develop models, as well as how AGI is approached.
The "Training" Bias…
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A interesting added feature could be functionality for exploring potential data biases of analytical datasets.
- taxonomic biases (ie calculate taxonomic distinctness of subsets of complete case speci…
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In [FinRL_PortfolioOptimizationEnv_Demo.ipynb](https://github.com/AI4Finance-Foundation/FinRL/blob/master/examples/FinRL_PortfolioOptimizationEnv_Demo.ipynb) all data used for training and testing ar…
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The current reward function in Marco-o1's MCTS implementation relies solely on token-level confidence scores derived from the model's output probabilities. While this method provides a straightforward…
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Hi, I'm using the OpenMM metadynamics implementation and I would like to make a suggestion: having an option of keeping the previous bias files, instead of having them overwritten. This is really usef…
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Hello, I am a beginner in the field of VLM and have a question regarding the training template issue. In the Qwen2VLDataCollator you provided, I noticed there are some additional fields.
 wit…
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`if regularizer is not None:`
` regularizers = sum([tf.nn.l2_loss(variable) for variable in self.variables])`
` loss += (regularizer * regularizers)`
it seems like that you have reg…