23 Repositories
Python intellectual-property Libraries
You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.
07_Python_Advanced_Topics Introduction 👋 In this tutorial, you will learn about: Python Iterators: They are objects that can be iterated upon. In thi
Semantic Data Management - Property Graphs 📈
SDM - Lab 1 @ UPC 👨🏻💻 Table of contents Introduction Property Graph Dataset 1. Introduction This repo is all about what we have done in SDM lab 1
This Code is Property of Rehyann Saini. Feel Free to use this Project.
Email-Spammer Rehyann Saini in Collabration With Fe13 Productions This is an easy to use Dev Friendly Email spammer... #Important Things to know..! St
constructing maps of intellectual influence from publication data
Influencemap Project @ ANU Influence in the academic communities has been an area of interest for researchers. This can be seen in the popularity of a
chainladder - Property and Casualty Loss Reserving in Python
chainladder (python) chainladder - Property and Casualty Loss Reserving in Python This package gets inspiration from the popular R ChainLadder package
Design by contract for Python. Write bug-free code. Add a few decorators, get static analysis and tests for free.
A Python library for design by contract (DbC) and checking values, exceptions, and side-effects. In a nutshell, deal empowers you to write bug-free co
PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
A decorator for caching properties in classes.
cached-property A decorator for caching properties in classes. Why? Makes caching of time or computational expensive properties quick and easy. Becaus
🥇Samsung AI Challenge 2021 1등 솔루션입니다🥇
MoT - Molecular Transformer Large-scale Pretraining for Molecular Property Prediction Samsung AI Challenge for Scientific Discovery This repository is
Codes for [NeurIPS'21] You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership.
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership Codes for [NeurIPS'21] You are caught stealing my winni
face property detection pytorch
This is the face property train code of project face-detection-project
Official implementation of "Motif-based Graph Self-Supervised Learning forMolecular Property Prediction"
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction Official Pytorch implementation of NeurIPS'21 paper "Motif-based Graph Se
Convert three types of color in your clipboard and paste it to the color property (gamma correct)
ColorPaster [Blender Addon] Convert three types of color in your clipboard and paste it to the color property (gamma correct) How to Use Hover your mo
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
Evidential Deep Learning for Guided Molecular Property Prediction and Discovery Ava Soleimany*, Alexander Amini*, Samuel Goldman*, Daniela Rus, Sangee
MolRep: A Deep Representation Learning Library for Molecular Property Prediction
MolRep: A Deep Representation Learning Library for Molecular Property Prediction Summary MolRep is a Python package for fairly measuring algorithmic p
We envision models that are pre-trained on a vast range of domain-relevant tasks to become key for molecule property prediction
We envision models that are pre-trained on a vast range of domain-relevant tasks to become key for molecule property prediction. This repository aims to give easy access to state-of-the-art pre-trained models.
Creates fake JSON files from a JSON schema
Use jsf along with fake data generators to provide consistent and meaningful fake data for your system.
Few-Shot Graph Learning for Molecular Property Prediction
Few-shot Graph Learning for Molecular Property Prediction Introduction This is the source code and dataset for the following paper: Few-shot Graph Lea
A modern API testing tool for web applications built with Open API and GraphQL specifications.
Schemathesis Schemathesis is a modern API testing tool for web applications built with Open API and GraphQL specifications. It reads the application s
A modern API testing tool for web applications built with Open API and GraphQL specifications.
Schemathesis Schemathesis is a modern API testing tool for web applications built with Open API and GraphQL specifications. It reads the application s
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
Hypothesis Hypothesis is a family of testing libraries which let you write tests parametrized by a source of examples. A Hypothesis implementation the
A modern API testing tool for web applications built with Open API and GraphQL specifications.
Schemathesis Schemathesis is a modern API testing tool for web applications built with Open API and GraphQL specifications. It reads the application s
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
Hypothesis Hypothesis is a family of testing libraries which let you write tests parametrized by a source of examples. A Hypothesis implementation the