Month: April 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 […]

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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 […]

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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 […]

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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 […]

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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 […]

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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 […]

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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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NLP

Swapping Autoencoder for Deep Image Manipulation

swapping-autoencoder-pytorch Official Implementation of Swapping Autoencoder for Deep Image Manipulation (NeurIPS 2020) Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang UC Berkeley and Adobe Research Overview Swapping Autoencoder consists of autoencoding (top) and swapping (bottom) operation.Top: An encoder E embeds an input (Notre-Dame) into two codes. The structure code is a tensor with spatial dimensions; the texture code is a 2048-dimensional vector. Decoding with generator G should produce a realistic image (enforced by […]

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Machine Learning, NLP

Detector-Free Local Feature Matching with Transformers

LoFTR Code for “LoFTR: Detector-Free Local Feature Matching with Transformers”, CVPR 2021 LoFTR: Detector-Free Local Feature Matching with TransformersJiaming Sun*, Zehong Shen*, Yu’ang Wang*, Hujun Bao, Xiaowei ZhouCVPR 2021 TODO List and ETA The entire codebase for data pre-processing, training and validation is under major refactoring and will be released around June.Please subscribe to this discussion thread if you wish to be notified of the code release.In the meanwhile, discussions about the paper are welcomed in the discussion panel. [x] […]

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Machine Learning, NLP

3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop

PyMAF This repository contains the code for the following paper: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback LoopHongwen Zhang*, Yating Tian*, Xinchi Zhou, Wanli Ouyang, Yebin Liu, Limin Wang, Zhenan Sun Requirements packages necessary files mesh_downsampling.npz & DensePose UV data Run the following script to fetch mesh_downsampling.npz & DensePose UV data from other repositories. bash fetch_data.sh SMPL model files Fetch preprocessed data from SPIN. Download the pre-trained model and put it into the ./data/pretrained_model directory. After […]

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