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I want to use action_mean (instead of random sampling) to test the already trained neural network model in CleanRL. The results are very poor, but using the original random sampling method for testing…
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Hi! In my efforts to assess different modes of nested differentiation tools, I am interested in the combination of complex step differentiation with reverse AD. I have the following example of a small…
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### Feature Summary
I'd like to contribute to FinVeda by implementing a machine learning module that can predict financial trends, stock prices, and customer behavior. This module will leverage popul…
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**Notebook title**: Variational Inference: Bayesian Neural Networks
**Notebook url**: https://www.pymc.io/projects/examples/en/latest/variational_inference/bayesian_neural_network_advi.html
## Iss…
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To evaluate the behavior of the two agent types—**IndividualAgent** (competitive, individualistic behavior) and **SystemAgent** (collaborative, cooperative behavior)—design a series of experiments tha…
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## Project Name:
**Apply Random Quantum Neural Network on Noisy Medical Image Recognition**
## Team Name:
**QIAO**
## Which challenges would you like to submit your project for?
* Hybrid …
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Hi it's great work, thanks for sharing.
I want to now how i choose numbers of layers in neural network it's randomly or not?
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Baseline: Linear Regression
### Other Regressions (Matt)
Improve out of sample prediction accuracy by using regularization to avoid overfitting on the training set.
* Lasso regression
* Ridge r…
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Hi,
Maybe several of us here can find a way to add predictions for number of goals per game. I'm only starting with python and having hard time integrating this feature, but maybe someone more kno…
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### Project Name:
Apply Random Quantum Neural Network on Noisy Medical Image Recognition
### Team Name: QIAO
### Which challenges would you like to submit your project for?
- Hybrid Quantum-Cla…