Deep Learning, NLP, NMT, AI, ML
phone-number-info Phone number info build with Python. Programmed in Python | PySimpleGUI Simple program show carrier, region and timezone of phone number. Python3+ git clone https://github.com/adrijano/phone-number-info.git cd phone-number-info && pip install -r requirements.txt python phone.py Windows cd dist phone.exe GitHub https://github.com/adrijano/phone-number-info
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crypto-watcher Crypto-watcher is simple program showing price of cryptocurrency in USD and EUR. It’s simple to use and everyone can use it. New update added more cryptocurrencies and GBP List of cryptocurrencies 1) Btc – Bitcoin 2) Eth – Ethereum 3) Xrp – Ripple 4) Ltc – Litecoin 5) Bch – Bitcoin cash 6) Pax – Paxos standard 7) Xlm – Stellar 8) Link – Chainlink 9) Omg – OMG Network 10) Knc – Kyber Network 11) Mkr – Maker […]
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Text to Binary Converter Text to Binary Converter in python Programmed in Python | PySimpleGUI How it works Simple text to binary and binary to text converter easy to use. Its convert from text ascii to binary and from binary to text ascii. ASCII text encoding uses fixed 1 byte for each character. UTF-8 text encoding uses variable number of bytes for each character. This requires delimiter between each binary number. Convert binary ASCII code to text: Get binary byte […]
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Bitcoin-brainwallet-recovery Bitcoin brainwallet recovery tool. Programmed in Python | PySimpleGUI From seed phrase create bitcoin privatekey and then convert it to Wallet Interchange Format key (WiF) format, which is a Base-58 form for the random key. This is the format that is stored in the Bitcoin Wallet. For example a sample private key is generated from: seed phrase: alfanumerico Privatekey: 05d95cf373f63b44267a193a1ef875c6758996e6c8ab5e049c48eb444206fce8 We then convert this into WiF format (Base-58): 5HrrzGnmMMr6fwkftrtL6AEfkkwWfgFQ8a2Lh8tAtF3MkXF9bPD This can be stored in a Bitcoin wallet. Next we […]
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Pylint Secure Coding Standard Plugin pylint plugin that enforces some secure coding standards. Installation pip install pylint-secure-coding-standard Pylint codes Code Description R8000 Use os.path.realpath() instead of os.path.abspath() and os.path.relpath() E8001 Avoid using exec() and eval() E8002 Avoid using os.sytem() E8003 Avoid using shell=True in subprocess functions or using functions that internally set this R8004 Avoid using tempfile.mktemp(), prefer tempfile.mkstemp() instead E8005 Avoid using unsafe PyYAML loading functions E8006 Avoid using jsonpickle.decode() C8007 Avoid debug statement in production code C8008 Avoid […]
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Python x MySQL x Excel by Zinglecode Example Python codes that do the processes between MySQL database and Excel spreadsheet files. YouTube videos Setup database table products table structure product_notes table structure categories table structure hashtags table structure products_hashtags table structure Install Python 3 and pipenv Download Python 3 installation file from https://www.python.org/ Install pipenv as global package by this command. pip install pipenv Note: for macOS with pre-installed Python 2, use pip3 instead of pip. Install and
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Python’s collections module provides a rich set of specialized container data types carefully designed to approach specific programming problems in a Pythonic and efficient way. The module also provides wrapper classes that make it safer to create custom classes that behave similar to the built-in types dict, list, and str. Learning about the data types and classes in collections will allow you to grow your programming tool kit with a valuable set of reliable and efficient tools. In this tutorial, […]
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TilinGNN TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network (SIGGRAPH 2020) About The goal of our research problem is illustrated below: given a tile set (a) and a 2D region to be filled (b), we aim to produce a tiling (c) that maximally covers the interior of the given region without overlap or hole between the tile instances. Dependencies: This project is implemented in Python 3.7. You need to install the following packages to run our program. Pytorch (tested […]
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INORig Source code for CVPR 2021 paper “Riggable 3D Face Reconstruction via In-Network Optimization”. Installation (1) Create an Anaconda environment. conda env create -f env.yaml conda activate INORig (2) Clone the repository and install dependencies. git clone https://github.com/zqbai-jeremy/INORig.git cd INORig pip install -r requirements_pip.txt (3) Setup 3DMM mkdir external cd external git clone https://github.com/zqbai-jeremy/face3d.git cd face3d Setup face3d as in YadiraF/face3d. Download “Exp_Pca.bin” from Guo et al. (in “CoarseData” link of their repository)and copy to “/external/face3d/examples/Data/BFM/Out/”. Download “std_exp.txt” from Deng […]
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SCGAN Implementation of CVPR 2021 paper “Spatially-invariant Style-codes Controlled Makeup Transfer” Prepare The pre-trained model is avaiable at https://drive.google.com/file/d/1t1Hbgqqzc_rV5v3gF7HuJ-xiuEVNb8sh/view?usp=sharing. vgg_conv.pth:https://drive.google.com/file/d/1JNrSVZrK4TfC7pFG-r7AOmGvBXF2VFOt/view?usp=sharing Put the G.pth and VGG weights in “./checkpoints” and “./” respectively. Environments:python=3.8, pytorch=1.6.0, Ubuntu=20.04.1 LTS Train Put the train-list of makeup images in “./MT-Dataset/makeup.txt” and the train-list of non-makeup images in “./MT-Dataset/non-makeup.txt” Use the “./scripts/handle_parsing.py” to convert the origin MT-Dataset’s seg labels Use python sc.py –phase train to train Test 1.Global Makeup Transfer python sc.py –phase test 2.Part-specific Makeup Transfer […]
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