May 10, 2021 Video

A High-Performance Video Processing Python Library

VidGear VidGear is a High-Performance Video Processing Python Library that provides an easy-to-use, highly extensible, thoroughly optimised Multi-Threaded + Asyncio Framework on top of many state-of-the-art specialized libraries like OpenCV, FFmpeg, ZeroMQ, picamera, starlette, streamlink, pafy, pyscreenshot, aiortc and python-mss serving at its backend, and enable us to flexibly exploit their internal parameters and methods, while silently delivering robust error-handling and real-time performance fire VidGear primarily focuses on simplicity, and thereby lets programmers and software developers to easily integrate and […]

May 10, 2021 Formula

Formulas for mixed-effects models in Python

formulae formulae is a Python library that implements Wilkinson’s formulas for mixed-effects models. The main difference with other implementations like Patsy or formulaic is that formulae can work with formulas describing a model with both common and group specific effects (a.k.a. fixed and random effects, respectively). This package has been written to make it easier to specify models with group effects in Bambi, a package that makes it easy to work with Bayesian GLMMs in Python, but it could be […]

May 10, 2021 Python

Recursion in Python: An Introduction

If you’re familiar with functions in Python, then you know that it’s quite common for one function to call another. In Python, it’s also possible for a function to call itself! A function that calls itself is said to be recursive, and the technique of employing a recursive function is called recursion. It may seem peculiar for a function to call itself, but many types of programming problems are best expressed recursively. When you bump up against such a problem, […]

May 10, 2021 Neural Machine Translation (NMT), NMT Leave a comment

Machine Translation Weekly 78: Multilingual Hate Speech Detection

This week I will comment on a preprint Cross-lingual hate speech detection based on multilingual domain-specific word embeddings by authors from the University of Chile. The pre-print evaluates the possibility of cross-lingual transfer of models for hate speech detection, i.e., training a model in one language and testing it in a different language. Hate speech detection is a particularly tough task for model transfer because many of the words have a different meaning or at least different connotations when used […]

May 9, 2021 Machine Learning

Mind Visual Tokens for Vision Transformer

So-ViT This repository contains the source code under PyTorch framework and models trained on ImageNet-1K dataset for the following paper: @articles{So-ViT, author = {Jiangtao Xie, Ruiren Zeng, Qilong Wang, Ziqi Zhou, Peihua Li}, title = {So-ViT: Mind Visual Tokens for Vision Transformer}, booktitle = {arXiv:2104.10935}, year = {2021} } The Vision Transformer (ViT) heavily depends on pretraining using ultra large-scale datasets (e.g. ImageNet-21K or JFT-300M) to achieve high performance, while significantly underperforming on ImageNet-1K if trained from scratch. We propose […]

May 9, 2021 Audio

Embedding secret messages in wave audio file with python

HiddenWave Hide Your Secret Message in any Wave Audio File. Hiddenwave is a python based program for simple audio steganography. You can hide your secret text messages in wave audio file. you can play this audio in any media player and secretly share your private message with any one. This tool require python3 Installation git clone https://github.com/techchipnet/HiddenWave.git cd HiddenWave Usage Hiddenwave have two python scripts. HiddenWave.py : for hide secret information. ExWave.py : for extract secret information for wave audio […]

May 9, 2021 Editor

An extremely configurable markdown reverser for Python3

Unmarkd Unmarkd is a BeautifulSoup-powered Markdown reverser written in Python and for Python. Why This is created as a StackSearch (one of my other projects) dependancy. In order to create a better API, I needed a way to reverse HTML. So I created this. There are similar projects (written in Ruby) but I have not found any written in Python (or for Python) later I found a popular library, html2text. But Unmarkd still is still better. See comparison. Installation You […]

May 9, 2021 Command-line Tools

Command-line tool to deduplicate mails from a set of boxes

Mail Deduplicate Command-line tool to deduplicate mails from a set of boxes. Features Duplicate detection based on cherry-picked and normalized mail headers. Source and deduplicate mails from multiple sources. Reads and writes to mbox, maildir, babyl, mh and mmdf formats. Multiple duplicate selection strategies based on size, content, timestamp, file path or random choice. Copy, move or delete the resulting set of mails after the deduplication. Dry-run mode. Protection against false-positives by checking for size and content differences. Screenshots Installation […]

May 9, 2021 GUI

A Simple yet powerful CAD library written with Python

Py-MADCAD Simple yet powerful CAD (Computer Aided Design) library, written with Python. Features surface generation (3D sketch primitives, extrusion, revolution, …) fast boolean operations common mesh file format import/export kinematic manipulation implicit geometry definition through the constraint/solver system objects display with high-quality graphics Sample usage from madcad import * # define points O = vec3(0) A = vec3(2,0,0) B = vec3(1,2,0) C = vec3(0,2,0) # create a list of primitives line = [ Segment(O, A), ArcThrough(A, B, C), Segment(C,O), ] […]

May 8, 2021 Machine Learning

An All-MLP solution for Vision from Google AI in Pytorch

MLP Mixer – Pytorch An All-MLP solution for Vision, from Google AI, in Pytorch. No convolutions nor attention needed! Install $ pip install mlp-mixer-pytorch Usage import torch from mlp_mixer_pytorch import MLPMixer model = MLPMixer( image_size = 256, patch_size = 16, dim = 512, depth = 12, num_classes = 1000 ) img = torch.randn(1, 3, 256, 256) pred = model(img) # (1, 1000) Citations @misc{tolstikhin2021mlpmixer, title = {MLP-Mixer: An all-MLP Architecture for Vision}, author = {Ilya Tolstikhin and Neil Houlsby and […]

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