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- volume
- bid/ask spread
- RSI/MACD / other derivative metrics
- social sentiment analysis
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"The #1 best way to understand and address the weaknesses in an API's design and implementation is to use it in a production system. Whenever feasible, design an API in parallel with an accompanying i…
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Another question that arose from the tutorial.
The norms of the parameters of a network seem to be recorded by default as auxiliary variables. As a low level research library, we should probably avoi…
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---
name: Submit Software for Review
about: Use to submit your Python package for peer review
title: ''
labels: 1/editor-checks, New Submission!
assignees: ''
---
Submitting Author: Group 2…
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---
name: Submit Software for Review
about: Use to submit your Python package for peer review
title: ''
labels: 1/editor-checks, New Submission!
assignees: ''
---
Submitting Author: Group 2…
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I'm trying to do a pull request for some files which I've added to this project. They are the Python files Chapter..N...py broken down into smaller files to make them easier to read. I couldn't see ho…
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It is a very nice work. But there are some problem in my experiments.
Training is easy to gradient explosion, the loss is nan, even if my learning rate is set 0. Could you give me some advice.
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Anki SRS Algorithm
https://ift.tt/1PzRp75
Julien Sobczak
The SM-2 algorithm, on which Anki is based, was released in 1987 in SuperMemo 1.0. It was revised several times since:
Each version …
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## Describe the bug
When using the `ObservationNorm` method in the `init_stats` function of the `torchrl` library, an `IndexError` occurs with the message "Dimension out of range (expected to be in…
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I've experimented with inferring the power exponent $\gamma$ of a preferential attachment kernel (attachment probability is $\propto k^\gamma$ for degree $k$), as discussed in the PRL paper ([preprint…