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Here are 10 approaches to implement adaptive noise reduction, ordered by complexity/effectiveness:
### 1. Enhanced Spectral Subtraction
- Track noise floor during silence periods
- Use overlappin…
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**What would you like to be added/modified**:
Based on the current multiedge inference benchmark on ianvs, we would like to extend the multiedge inference on multiple heterogeneous edges (e.g., m…
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## What is Bayesian neural network?
- The bayesian neural network is a standard neural network with weights in a probability distribution.
## What is the difference in training?
- The learn…
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CUDA programming , which is essential for ML/AI optimization, is incredibly sought in the ML industry especially as we entered the LLM era. In order to make the neural network training faster and more…
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Hello Domenico,
Your "A COMPARISON OF DEEP LEARNING INFERENCE ENGINES FOR EMBEDDED REAL-TIME AUDIO CLASSIFICATION" paper was a great read 👏. The paper already mentions that future work will focus on…
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**Describe the bug**
I am implementing SNRE and SNLE (from [implemented algorithms](https://sbi-dev.github.io/sbi/latest/tutorials/16_implemented_methods/)) on a simple exponential simulator model wi…
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Dear Author,
Can we just train the neural network based MVS with given dataset like DTU and do the inference on our own scene ? Dose the neural network generalize well to different scenes?
…
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# What is modulus?
From its official website, NVIDIA Modulus is `a neural network framework` that blends the power of `physics` (in the form of governing partial differential equations (PDEs)) with…
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Hello,
I am trying to run your QBOX and other repos as this is very interesting but there seems to be missing the custom CUBE_REPORT import:
```
import CUBE_REPORT # Import the custom report m…
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# Drunken Walk Generator and Lattice for Deep GNN Training
## Overview
This page documents the development of a generator function and a lattice structure designed to encompass a broad range of inte…