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Okay,
So I have been thinking of a different way to implement a content addressable network for some time now, I have written a [post](https://systemshift.github.io/FAN.html) to explain the details…
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Hi! I've been using your package, and I've run into an issue with the DRL solvers.
The function `get_action` passes the state into the neural network `policy.μ`, but this state is computed in `conv…
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http://doi.org/10.1101/093021
> Artificial neural networks (ANN) are computing architectures with massively parallel interconnections of simple neurons and has been applied to biomedical fields suc…
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**Electricity Consumption**
https://nbviewer.jupyter.org/github/cs109-energy/cs109-energy.github.io/blob/master/iPython/Exploratory%20Analysis.ipynb
https://machinelearningmastery.com/how-to-load-an…
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## Original Task
Citing from the original course task:
> Training a strong Hebrew Sentence Encoder from a pretrained Decoder While recent years
have brought many additions to the open-source set …
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Hi Author,
I am getting the following error while running 'point_pillars_prediction.py'
2021-08-18 09:59:39.238383: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is…
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## Targets
**Litinski Compilation:** The one we've been following so far: goes through pauli rotations and multibody measurement with ancilla regions (for which the details of the stabilizer measur…
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When comparing to random sampling it does not seem to give significantly different results. I would have expected the curve to be much higher for active learning. Potentially the defaults aren't great…
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Training with the default config, it can hardly works and tends to learn trivial solution. However, it only needs to modify a small part, introduce negative examples on svdd loss (just extract differe…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Social Housing Provision Analysis using DL
:red_circle: **Aim** : The aim of this project is to analyze…