Author: Deep Learner

Scripts

Woodyll – A python script allowing for fast tpll and point marking

v1.1 woodyll is a python script allowing for fast tpll and point marking. woodyll opens your minecraft, teleports you to coordinates from your clipboard, marks down the point and switches back to map. Windows installation Verify if your PC has python installed by opening cmd and type py –version. If your PC has python installed, proceed to step 2. If your PC doesn’t have python installed, download it from python.org. Download woodyll by running git clone https://github.com/woodyamazing/woodyll.git in cmd or […]

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Text-to-Image

LAFITE: Towards Language-Free Training for Text-to-Image Generation

Code for paper LAFITE: Towards Language-Free Training for Text-to-Image Generation (CVPR 2022) Update more details later. Requirements The implementation is based on stylegan2-ada-pytorch and CLIP, the required packages can be found in the links. Preparing Datasets Example: python dataset_tool.py –source=./path_to_some_dataset/ –dest=./datasets/some_dataset.zip –width=256 –height=256 –transform=center-crop the files at ./path_to_some_dataset/ should be like: ./path_to_some_dataset/   ├  1.png   ├  1.txt   ├  2.png   ├  2.txt   ├  … We provide links to several commonly used datasets that we have already processed (with CLIP-ViT/B-32): MS-COCO Training Set […]

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Handwriting

Backpropagation Applied to Handwritten Zip Code Recognition

This code tries to reproduce the 1989 Yann LeCun et al. paper: Backpropagation Applied to Handwritten Zip Code Recognition. To my knowledge this is the earliest real-world application of a neural net trained with backpropagation (now 33 years ago). run Since we don’t have the exact dataset that was used in the paper, we take MNIST and randomly pick examples from it to generate an approximation of the dataset, which contains only 7291 training and 2007 testing digits, only of […]

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PyTorch

Invariant and Equivariant Graph Networks

A PyTorch implementation of The ICLR 2019 paper “Invariant and Equivariant Graph Networks” by Haggai Maron, Heli Ben-Hamu, Nadav Shamir and Yaron Lipmanhttps://openreview.net/forum?id=Syx72jC9tm. The official TensorFlow implementation is at https://github.com/Haggaim/InvariantGraphNetworks Data Data should be downloaded from: https://www.dropbox.com/s/vjd6wy5nemg2gh6/benchmark_graphs.zip?dl=0.Run the following commands in order to unzip the data and put its proper path. mkdir data unzip benchmark_graphs.zip -d data Prerequisites Python3 PyTorch 1.5.0 Additional modules: numpy, pandas, matplotlib TensorFlow is not neccessary except if you want to run the tests (comparisons) between […]

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Converter

Tools to convert video files into ASCII art, and make self-contained playback executables

A few tools to convert video and images into ASCII art in an ANSI terminal. These tools support color output using the ANSI 256 color set, as well as the creation of a self-contained playback executable for video converted to text, with compression able to fit 4 minutes of 80 column 15 FPS video onto a single floppy disk! Check out this video for more information and to see sample output for video to text conversion. A sample image converted […]

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Email

Send Email from the console line using a python3 script

Table of content About the project This python3 script allow you to send email from the terminal using a json file as configuration file and a .txt file as the subject for the mail. Setup Install required packages cd send_email $ pip install -r requirements.txt Create the config.json file with your credentials . This configuration file is for gmailChange port and server for others smtp providers. { “email”: “[email protected]”, “password”: “xxxxxx”, “port”: 587, “server”: “smtp.gmail.com” } Remove reading write   […]

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Database

The day-to-day front-end to the IETF database for people who work on IETF standards

Getting Started This project is following the standard Git Feature Workflow development model. Learn about all the various steps of the development workflow, from creating a fork to submitting a pull request, in the Contributing guide. Make sure to read the Styleguides section to ensure a cohesive code format across the project. You can submit bug reports, enhancement and new feature requests in the discussions area. Accepted tickets will be converted to issues. Prerequisites Python 3.6 Django 2.x Node.js 16.x […]

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