Month: September 2021

Recommend

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework

This repository contains a framework for Recommender Systems (RecSys), allowing users to choose a dataset on a model based on their demand. CAPRI Overview ☑️ Prerequisites You will need below libraries to be installed before running the application: Python >= 3.4 NumPy >= 1.19 SciPy >= 1.6 PyInquirer >= 1.0.3 For a simple solution, you can simply run the below command in the root directory: pip install -r prerequisites.txt 🚀 Launch the Application Start the project by running the main.py […]

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SQL

PyPika-ORM – ORM for PyPika SQL Query Builder

The package gives you ORM for PyPika with asycio support for a range of databases (SQLite, PostgreSQL, MySQL). Warning The project is in early pre-alpha state and not ready for production Requirements Installation pypyka-orm should be installed using pip: $ pip install pypika-orm You can install the required database drivers with: $ pip install pypika-orm[sqlite] $ pip install pypika-orm[postgresql] $ pip install pypika-orm[mysql] Usage from pypika_orm import Model, fields class Role(Model): id = fields.Auto() name = fields.Varchar(max_length=100, default=’user’) class User(Model): […]

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Language Models

Frustratingly Simple Pretraining Alternatives to Masked Language Modeling

This is the official implementation for “Frustratingly Simple Pretraining Alternatives to Masked Language Modeling” (EMNLP 2021). Requirements torch transformers datasets scikit-learn tensorflow spacy How to pre-train 1. Clone this repository git clone https://github.com/gucci-j/light-transformer-emnlp2021.git 2. Install required packages cd ./light-transformer-emnlp2021 pip install -r requirements.txt requirements.txt is located just under light-transformer-emnlp2021. We also need spaCy’s en_core_web_sm for preprocessing. If you have not installed this model, please run python -m spacy download en_core_web_sm. 3. Preprocess datasets cd ./src/utils python preprocess_roberta.py –path=/path/to/save/data/ You need […]

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Asyncio

Fully asynchronous trace.moe API wrapper

Fully asynchronous trace.moe API wrapper Installation You can install the stable version from PyPI: $ pip install aiomoe Or get it from github: $ pip install https://github.com/FeeeeK/aiomoe/archive/refs/heads/master.zip Usage Get info about your account import asyncio from aiomoe import AioMoe tm = AioMoe() # or AioMoe(token=”xxxxxxxx”) async def main(): me = await tm.me() print(me) print(f”Used quota: {me.quota_used}/{me.quota}”) asyncio.run(main()) The output will be like this: User(error=None, id=’your ip’, priority=0, concurrency=1, quota=1000, quota_used=0) Used quota: 0/1000 Search anime import asyncio from aiomoe import […]

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AUTONOMOUS DRIVING

This solves the autonomous driving issue which is supported by deep learning technology

This solves the autonomous driving issue which is supported by deep learning technology. Given a video, it splits into images and predicts the angle of turning for each frame. An autonomous car (also known as a driverless car, self-driving car, and robotic car) is a vehicle that is capable of sensing its environment and navigating without human input. Autonomous cars combine a variety of techniques to perceive their surroundings, including radar, laser light, GPS, odometry, and computer vision. Advanced control […]

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