Articles About Natural Language Processing

April 11, 2021 NLP

Multi-Channel Speech Enhancement Using Graph Neural Networks

Abstract Multi-channel speech enhancement aims to extract clean speech from a noisy mixture using signals captured from multiple microphones. Recently proposed methods tackle this problem by incorporating deep neural network models with spatial filtering techniques such as the minimum variance distortionless response (MVDR) beamformer. In this paper, we introduce a different research direction by viewing each audio channel as a node lying in a non-Euclidean space and, specifically, a graph. This formulation allows us to apply graph neural networks (GNN) […]

April 11, 2021 Games, NLP

A Boids Simulation written in Python with Pygame

PyNBoids A Python Boids SimulationThis is a Boids simulation, written in Python3 with Pygame2. To use save the pynboids.py file somewhere (and nboids.png if you wantit’s icon, not required), and run via python. (Example: python3 pynboids.py) Esc key to quit. I’ve included several tweakable settings near the top of the code. You canadjust window size, fullscreen, fps, and how many boids to spawn, as well aswhether boids avoid screen edges or wrap to the other side.. Change thebackground color, or […]

April 11, 2021 NLP, Tool

Dress up your code with a beautiful graphical user interface

Dresscode Dress up your code with a beautiful graphical user interface ! This project is part of the Pyrustic Ecosystem. Look powered by the cyberpunk theme. Welcome ! Let me show you something: Figure 1 – Demo What if I told you that I did this with 1 Hex-digit lines of code :tm: ? The menu bar in Figure 1 is not a gimmick. Clicking on the buttons in the menu bar opens another page. So in fact I showed […]

April 11, 2021 Data Analysis, NLP

Download candlestick data fast & easy for analysis

crypto-candlesticks The goal behind this project is to facilitate downloading cryptocurrency candlestick data fast & simple. Currently only the Bitfinex exchange is supported with more to come in future releases. The command-line interface is built using Click, which is intuitive and will prompt you for the commands. Once the data is downloaded, it will be converted and stored in a .csv, .sqlite3 and .pickle file for convenient analysis. The data will include the Open, High, Low, Close of the candles […]

April 11, 2021 Command-line Tools, NLP

A CLI and GUI utility to control the lighting effects of your Alienware computer

AlienFX At present there is a CLI version (alienfx) and a gtk GUI version (alienfx-gtk). And has been tested on Debian/Ubuntu/Kali/Mint, Fedora and Arch Linux. Dependencies AlienFX is written in python and has been tested on python 3.9. It requiresthe following python packages to run: On Arch Linux: $ sudo pacman -S python-pyusb python-setuptools python-gobject python-cairo python-future On other distributions you need to install pyusb and pkg_resources using pip: pkg_resources.You can install pkg_resources using the following command: $ pip install […]

April 11, 2021 GUI, NLP

A Python package that enables Python programmers of all levels to create GUIs

PySimpleGUI PySimpleGUI is a Python package that enables Python programmers of all levels to create GUIs. You specify your GUI window using a “layout” which contains widgets (they’re called “Elements” in PySimpleGUI). Your layout is used to create a window using one of the 4 supported frameworks to display and interact with your window. Supported frameworks include tkinter, Qt, WxPython, or Remi. The term “wrapper” is sometimes used for these kinds of packages. Your PySimpleGUI code is simpler and shorter […]

April 10, 2021 Natural Language Processing, NLP

Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing

UT (Universal Transformation) AppendIrr Extend sentences by irrelevant sentences – BackTrans BackTrans (Trans short for translation) replaces test data with paraphrases by leveraging back translation, which is able to figure out whether or not the target models merely capture the literal features instead of semantic meaning. – Contraction Contraction replaces phrases like `will not` and `he has` with contracted forms, namely, `won’t` and `he’s` – InsertAdv Transforms an input by add adverb word before verb – Keyboard Keyboard turn to […]

April 10, 2021 Machine Learning, NLP

A Semantic Segmentation inference API using the Gluoncv CV toolkit

BMW-Semantic-Segmentation-Inference-API-GPU-CPU This is a repository for a Semantic Segmentation inference API using the Gluoncv CV toolkit. The training GUI (also based on the Gluoncv CV toolkit ) for the Semantic Segmentation workflow will be published soon. A sample inference model is provided with this repository for testing purposes. This repository can be deployed using docker. Prerequisites Ubuntu 18.04 or 20.04 LTS Windows 10 pro with hyper-v enabled and docker desktop NVIDIA Drivers (410.x or higher) Docker CE latest stable release […]

April 10, 2021 Machine Learning, NLP

A Residual-Based StyleGAN Encoder via Iterative Refinement

restyle-encoder Official Implementation of our ReStyle paper for both training and evaluation. ReStyle introduces an iterative refinement mechanism which can be applied over different StyleGAN encoders for solving the StyleGAN inversion task. Different from conventional encoder-based inversion techniques, our residual-based ReStyle scheme incorporates an iterative refinement mechanism to progressively converge to an accurate inversion of real images. For each domain, we show the input image on the left followed by intermediate inversion outputs. Getting Started Prerequisites Linux or macOS NVIDIA […]

April 10, 2021 Machine Learning, NLP

Real-time View Synthesis with Neural Basis Expansion

NeX We present NeX, a new approach to novel view synthesis based on enhancements of multiplane image (MPI) that can reproduce NeXt-level view-dependent effects—in real time. Unlike traditional MPI that uses a set of simple RGBα planes, our technique models view-dependent effects by instead parameterizing each pixel as a linear combination of basis functions learned from a neural network. Moreover, we propose a hybrid implicit-explicit modeling strategy that improves upon fine detail and produces state-of-the-art results. Our method is evaluated […]

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