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## Feature
### Description
One idea of the original concept were 3-dimensional neural networks. Theoretically it should better mix different inputs, but it was never tested, because other basic …
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# Tic-Tac-Toe with a Neural Network
Let’s train a Tic-Tac-Toe player with a neural network via reinforcement learning using PyTorch
[https://nestedsoftware.com/2019/12/27/tic-tac-toe-with-a-neural-n…
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**Submitting author:** @willyfh (Willy Fitra Hendria)
**Repository:** https://github.com/willyfh/visualtorch
**Branch with paper.md** (empty if default branch): joss-review
**Version:** v0.2.2
**Edito…
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In the [Bayesian Neural Network ](https://turing.ml/dev/tutorials/03-bayesian-neural-network/) tutorial, there is code for a "Generic Bayesian Neural Network," that rebuilds the Flux model with the ne…
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I managed to compile the [notebook in the samples](https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/facebook-opt-13b-sampling.ipynb) to load an…
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Bring back support for a neural network heuristic.
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### Reason/inspiration (optional)
"We would like a new term entry in the `AI` concept for [neural-network](https://www.codecademy.com/resources/docs/ai/neural-networks): Learning Rate Schedule. The e…
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Does anyone have any ideas? I could develop any special features, but not this year.
ghost updated
7 months ago
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I trained a small (deepsets) neural network as suggested in [this paper](https://arxiv.org/abs/2109.07735), and implemented the c code for calculating the output for a given input. The code should run…
sAz-G updated
1 month ago
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```
import tltorch
import torch
from torch.profiler import profile, record_function, ProfilerActivity
data = torch.randn((4, 16), dtype=torch.float32)
linear = torch.nn.Linear(16, 10)
fact_…