Month: October 2021

Dashboard

An interactive dashboard built with python that enables you to visualise how rent prices differ across Sweden

An interactive dashboard built with python that enables you to visualise how rent prices differ across Sweden. The dashboard/web-app generated from this project can be viewed by clicking here The dashboard was built to be highly interactive so please do feel free to interact with the figures, dialog buttons, sliders and text inputs. (Unfortunately, the web-app does not render well on mobile devices.) Preview of the Dashboard Overview Page Code and Resources Used Python Version: 3.8 Packages Used: pandas, numpy, […]

Read more
Instagram

A full-stack clone of Instagram, allowing the user to interact with posts and other users

Finstagram A portfolio clone of Instagram.com Explore the website » About The Project clicking the feature images below redirects you to that feature’s location in the site Back to top Instagram is a well known website with a lot of interesting social media aspects, which presented challenges with redux state and database relationships. It was a good opportunity to show our ability to create a full stack website built after one of the most popular websites in the world. Built […]

Read more
Metadata

Image Reading, Metadata Conversion, and Image Writing for Microscopy Images in Python

Image Reading, Metadata Conversion, and Image Writing for Microscopy Images in Pure Python Features Supports reading metadata and imaging data for: OME-TIFF TIFF CZI — (pip install aicsimageio[czi]) LIF — (pip install readlif>=0.6.4) ND2 — (pip install aicsimageio[nd2]) DV — (pip install aicsimageio[dv]) PNG, GIF, etc. — (pip install aicsimageio[base-imageio]) Files supported by Bio-Formats — (pip install aicsimageio bioformats_jar) Supports writing metadata and imaging data for: OME-TIFF PNG, GIF, etc. — (pip install aicsimageio[base-imageio]) Supports reading and writing to fsspec […]

Read more
Bash

PS1 Bash Prompt Builder With Python

This program is meant to take the pain out of generating nice bash PS1 prompts. Pull requests welcome! And if you build an awesome theme, drop something in the examples folder! Installation / Quickstart ↑ To install this package from pypy run the following command. pip3 install ps1 Execute this to make your first prompt export PS1=”$(ps1 template -t parrot)” License See: LICENSE Other Docs Examples entropy.sh export PS1='[e[38;5;196m]003422242140034222420000342224200[e[0m][e[38;5;196m]00342235260[e[0m]$(b_err_code=$?; [[ $b_err_code != 0 ]] && echo “[e[38;5;196m]00342234230[e[0m]/${b_err_code}” || echo “[e[38;5;10m]00342234224[e[0m]”)[e[38;5;196m]00342235261[e[0m][e[38;5;196m]00342224201[e[0m][e[38;5;196m]00342235260[e[0m]entropy:$(_shentropy)[e[38;5;196m]00342235261[e[0m][e[38;5;196m]00342224201[e[0m][e[38;5;196m]00342235260[e[0m][e[38;5;11m]$(br=$(git […]

Read more
Matrix

An extension for asreview implements a version of the tf-idf feature extractor that saves the matrix and the vocabulary

An extension for ASReview that adds a tf-idf extractor that saves the matrix and the vocabulary to pickle and JSON respectively, and a doc2vec extractor that grabs the entire doc2vec model. Requested in discussion post #650. Getting started Install the new classifier with: or python -m pip install git+https://github.com/asreview/asreview-extension-vocab-extractor.git Usage Run the simulation as usual, but this time use tfidf_grab or doc2vec_grab as feature extractor. Extracts the matrix and the vocabulary during simulation preparation. The new Feature extractor tfidf_grab is […]

Read more
Natural Language Processing, NLP, Python

The NLP Cypher | 10.17.21

David is killing it! Welcome back NLP peeps! Do you miss the old days? The old internet days of modem calling, static websites, you know… a time of innocence where developers were innovating the backbone of the internet at hyper speeds? Well, we are very much going thru that right now via the Web 3.0 revolution. Cryptocurrencies usually get all of the attention but there is something else at play and it involves the entire web. You see, the current […]

Read more
Python

Using the len() Function in Python

In many situations, you’ll need to find the number of items stored in a data structure. Python’s built-in function len() is the tool that will help you with this task. There are some cases in which the use of len() is straightforward. However, there are other times when you’ll need to understand how this function works in more detail and how to apply it to different data types. In this tutorial, you’ll learn how to: Find the length of built-in […]

Read more
Image Analysis

Goddard Image Analysis and Navigation Tool

Copyright 2021 United States Government as represented by the Administrator of the National Aeronautics and Space Administration. No copyright is claimed in the United States under Title 17, U.S. Code. All Other Rights Reserved. The Goddard Image Analysis and Navigation Tool (GIANT) is a collection of utilities and scripts that aims to make all aspects of Optical Navigation (OpNav) and Camera Calibration easy. To install it is recommended that you use the mamba-forge python distribution/package manager. More detailed instructions can […]

Read more
API

Construindo API’s robustas utilizando Python

Neste tutorial vamos aprender a construir API’s utilizando Python e FastAPI, integrá-las a serviços externos e também a como torná-las robustas. Discutiremos a importância de uma boa documentação e testes. Abordaremos conceitos como integração com serviços externos, integração contínua e testes automatizados. Analisaremos cenários onde precisaremos de uma melhor performance e algumas técnicas para alcançar este objetivo como chamadas a funções assíncronas. Vamos tentar nos preparar para situações ruins que possam acontecer e garantir que nosso sistema será resiliente. O […]

Read more
Neural Network

Neural Radiance Flow for 4D View Synthesis and Video Processing

[ICCV’21] Neural Radiance Flow for 4D View Synthesis and Video Processing Datasets The pouring dataset used for experiments can be download here and the iGibson dataset used inexperiments can be downloaded here Pouring Dataset Please download and extract each dataset at data/nerf_synthetic/. Please use the following command to train python run_nerf.py –config=configs/pour_baseline.txt After running model for 200,000 iterations, move the model to a new folder pour_dataset_flow and then use the following commandto train with flow consistency python run_nerf.py –config=configs/pour_baseline_flow.txt Gibson […]

Read more
1 … 17 18 19 20 21 … 50