Scripts

Toy example of a python script that instantiates and trains a PyTorch neural network on the FashionMNIST dataset with several common and useful featur

This simple_pytorch_example project is a toy example of a python script that instantiates and trains a PyTorch neural network on the FashionMNIST dataset with several common and useful features: Choose between two different neural network architectures Make architectures parametrizable Read input arguments from config file or command line (command line arguments override config file ones) Download FashionMNIST dataset if not already downloaded Monitor training progress on the terminal and/or with TensorBoard logs Accuracy, loss, confusion matrix More details about FashionMNIST […]

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Raspberrypi

A Raspberry Pi Powered Barcode Reader to load a game on the Mister FPGA using MBC

A Raspberry Pi Powered Barcode Reader to load a game on the Mister FPGA using MBC This is a work in progress and a bit hackery 😅 There are limitations on the MBC side. Some of the computer cores don’t work in loading games up. Such as the commodore computers as the cores have changed the menu layout is slightly different. Currently i have only implemented getting games from out of zip files. You can do direct loading of a […]

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YouTube

Youtube music with python

Скрипт использует mpv и fzfПауза – spaceВыход – qВыход из скрипта – ctrl+c video, url = parrser.video(url) url – https://invidious.snopyta.org/channel/UC_aEa8K-EOJ3D6gOs7HcyNg url[4] = video[4] from pyfzf.pyfzf import FzfPrompt fzf = FzfPrompt() parserr.youtube(page, search, fzf) or parserr.youtube(2, ‘test search’, fzf)    

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Self-Supervised

A self-supervised learning framework for audio-visual speech

Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction Robust Self-Supervised Audio-Visual Speech Recognition Introduction AV-HuBERT is a self-supervised representation learning framework for audio-visual speech. It achieves state-of-the-art results in lip reading, ASR and audio-visual speech recognition on the LRS3 audio-visual speech benchmark. If you find AV-HuBERT useful in your research, please use the following BibTeX entry for citation.

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Slash

Your custom slash commands Discord bot

Hey, I’m Slashy – your friendly neighborhood custom-command bot! The code for this bot exists because I’m like the open-source community, so feel free to run it yourself, or submit pull requests to improve it. You can get help on using the bot with the /help command in any of the servers Slashy is in, or in Slashy’s DM-s. Invite Click right here to add Slashy to your own server, or just copy https://hey.imkez.com/slashy-invite License This project is licensed under […]

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GUI

A simple GUI complex backend Chat Application made using python

Python Chat Application ( Please Star this if you like this or have used this . It’s free 🙂 ) Table of Contents ChatterPatter is a simple GUI based chat application which includes both SERVER AND CLIENT scirpts in same application. Simple in front , complex in back . So complex that even the developer fears going through it again and again.Developed solely on Python. Python Libraries and Modules Used Sockets Threading Tkinter (Tabs , Listbox , Labels , Entry […]

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Keyboard

Measure edit distance based on keyboard layout

Measure edit distance based on keyboard layout. Introduction Default edit distances, such as the Levenshtein distance, don’t differentiate between characters. The distance between two characters is either 0 or 1. This package allows you to measure edit distances by taking into account keyboard layouts. The scope is purposefully limited to alphabetical, numeric, and punctuation keys. That’s because this package is meant to assist in analyzing user inputs — e.g. for spelling correction in a search engine. The goal of this […]

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Neural Machine Translation (NMT), NMT Leave a comment

Machine Translation Weekly 98: XGLM: GPT-3 for 30 languages

By the end of the year, Meta AI (previously Facebook AI) published a pre-print introducing a multilingual version of GPT-3 called XGLM. As its title – Few-shot Learning with Multilingual Language Models – suggests, it explores the few-shot learning capabilities. The main takeaways are: Good news: It is indeed possible to train such a model and it works somehow. Bad news 1: Cross-lingual transfer of few-shot learned tasks is not as good as I would expect. Bad news 2: Huge […]

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Network

Band-limited Coordinate Networks for Multiscale Scene Representation

Project Page | Video | Paper Official PyTorch implementation of BACON.BACON: Band-limited Coordinate Networks for Multiscale Scene RepresentationDavid B. Lindell*,Dave Van Veen,Jeong Joon Park,Gordon WetzsteinStanford University Quickstart To setup a conda environment use these commands conda env create -f environment.yml conda activate bacon # download all datasets python download_datasets.py Now you can train networks to fit a 1D function, images, signed distance fields, or neural radiance fields with the following commands.

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