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related paper
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|Deep Convolutional Neural Networks (DCNNs) have recently shown state of the art performance in high level vision tasks, such as image classification and object detection…
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We only use a single, pretty oversized deep learning model. Especially after the first iteration we see this overfit, so it might be a good continuation of the story to use something else that does no…
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**To those following this repository:**
We are in the process of performing a complete rewrite of Swift AI, which will include an update to Swift 3, full Linux support, many new features, and major…
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Teravoxel volume electron microscopy data sets from neural tissue can now be acquired in weeks, but data analysis requires years of manual labor. We developed the SyConn framework, which uses deep con…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Flight Fare Prediction
:red_circle: **Aim** : Building Flask web app which predicts fare of Flight tick…
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After working thrice, interspersed with some random failures, now the demo does not work.
`$ python3 main.py -cam`
Upgraded DepthAI SDK to: depthai-2.20.2.0-cp38-cp38-manylinux_2_17_x86_64.manyl…
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## Description
I'd like to suggest the implementation of implicit reparameterization gradients, as described in the paper [1], for the Gamma distribution: ndarray.sample_gamma and symbol.sample_gamma…
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Hi
I am trying to implement your MNIST TR classifier:
```
# Import Necessary Pytorch Modules
import torch
import torch.nn as nn
from torch import Tensor
from tednet.tnn import tensor_ring a…
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Looking at the tutorials, the ordering looks a bit random. Perhaps we should reorder the tutorials, roughly in order from least to most advanced, to make it easier to understand them? I'd suggest some…
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Issue -- deciding which type of method to use for this problem. Mostly using this comment thread to keep track of my progress.