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NNUE (ƎUИИ Efficiently Updatable Neural Network) is a sparse shallow neural network architecture that can be calculated incrementally. This has proven incredibly successful in [Chess](https://github.c…
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# Chapter 1
## Lesson: OpenAI Gym Installation
- See https://github.com/gutfeeling/practical_rl_for_coders/issues/10
## Lesson: Jupyter Installation
- See https://github.com/gutfeeling/practi…
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We are simplifying the problem right now. Followings are a list of improvements we must do.
- [x] Randomizing goal points
- [x] Find the bottleneck
### Algorithms ###
- [x] Add heading to estima…
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When reading [this week's quantum paper](https://arxiv.org/abs/1601.02036), I came across something I do not quite understand. In Eq. (16) they define their truly quantum Boltzmann machine Hamiltonian…
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## Description:
This issue proposes an enhancement to the Kolmogorov-Arnold Networks (KAN) architecture that involves the development of an automated method for converting trained models into symboli…
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The anatomical orientation of an array is a critical piece of metadata for downstream analysis, particularly for the increasingly common task of aligning acquired images to an atlas for anatomical qua…
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Hi Patrick I do really amazed and appreciate you and your team's work on handling these dynamic systems. As a medical student, what I think might be wrong from a mathematician's perspective so please …
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Extracting metaphors and symmetries from code using language models (LLMs) is an interesting idea. Here's a high-level approach that could be taken:
1. **Code Preprocessing**:
- Tokenize the code …
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NeuroBEM: Hybrid Aerodynamic Quadrotor Model. (arXiv:2106.08015v1 [cs.RO])
https://ift.tt/3vosDJP
Quadrotors are extremely agile, so much in fact, that classic first-principle-models come to their lim…
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This is probably useful for latest trends and methods in handling common bioacoustics tasks and datasets: https://github.com/vocalpy/crowsetta
May also provide some generally useful methods or form…