January 22, 2022 Neural Network

Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently

This repository is the official implementation for the following paper Analytic-LISTA networks proposed in the following paper: “Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently” by Xiaohan Chen, Jason Zhang and Zhangyang Wang from the VITA Research Group. The code implements the Peek-a-Boo (PaB) algorithm for various convolutional networks and is tested in Linux environment with Python: 3.7.2, PyTorch 1.7.0+. Getting Started Dependency Prerequisites Python 3.7+ PyTorch 1.7.0+ tqdm Data Preparation […]

January 22, 2022 Template

Workflow and Template Toolkit for Simulation (WATTS)

WATTS (Workflow and Template Toolkit for Simulation) provides a set of Python classes that can manage simulation workflows for multiple codes where information is exchanged at a coarse level. For each code, input files rely on placeholder values that are filled in based on a set of user-defined parameters. WATTS is being developed with support from Argonne National Laboratory. For any questions, please contact [email protected]. Installation git clone cd watts pip install -U pip pip install . Documentation To build […]

January 22, 2022 Scrape

Shopee Scraper: A web scraper in python that extract sales, price, avaliable stock, location and more of a given seller in Brazil

A web scraper in python that extract sales, price, avaliable stock, location and more of a given seller in Brazil. The project was created in python 3 and requires only 3 libraries that may need to be installed (in case you don’t have any of them). They are: requests, date and time. Date and Time are default libraries for Linux and Mac users, but if you’re running Windows, make sure to install them using pip. You can easily install requests […]

January 22, 2022 Search

A Python package for searching and getting results with many different search engines

A fast, efficiency python package for searching and getting search results with many different search engines. To install the package, run the following command: python3 -m pip install search Or install from Github: python3 -m pip install git+https://github.com/Neurs1/search.git This package support many different search engines. Provide the best speed with BS4 using lxml. Fix bugs, adapt new features and page design from search engines. Output in dict type, easier to interact with. Search using multiple search engines! import search search.google(“Python”) […]

January 21, 2022 Wrapper

Item2Vec Wrapped With Python

Gensim 4.x and sklearn Introduction General informations Methods Description GridSearch and BayesSearch Usage BayesSearch Example Prod2Vec or Item2Vec produces embedding for items in a latent space. The method is capable of inferring item-item relations even when user information is not available. It’s based on NLP model Word2Vec. Click here to know more This project provide a class that encapsulates Item2Vec model (word2vec gensim model) as a sklearn estimator. It allows the simple and efficient use of the Item2Vec model by […]

January 21, 2022 Dash

Integrating PyAnsys with Plotly’s Dash and the Dash-VTK component to build an Ansys structural analysis web application

Integrating PyAnsys with Plotly’s Dash and the Dash-VTK component to build an Ansys structural analysis web application VS Code ntoebook and dash web-app python scripts described in this medium article:ANSYS in a Python Web App, Part 2: Pre Processing & Solving with PyMAPDL GitHub View Github

January 21, 2022 Streamlit

Streamlit app for pump it up project

This is a basic app that performs two functions First, it allows for the easy mapping of the data on the functionality of water pumps to allow hypothesis formation Second, it gives access to a trained classification model that will predict whether a hypothetical pump is function from a set of input variables A full account of the creation of the model can be found at https://github.com/nonlocal-lia/pump_it_up_competition A working copy of the app can be accessed at https://share.streamlit.io/nonlocal-lia/pump_streamlit/main/front_end.py GitHub View […]