Popular GitHub Repositories for Restaurant Reviews

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

Instant AI code reviews

[Nature Reviews Bioengineering?] Application of Large Language Models in Medicine. A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)

AI-powered tool for efficient abstract and PDF screening in systematic reviews.

Active learning for systematic reviews

Open source AI code reviews — just like your senior dev would do.

Codai is an AI code assistant that helps developers through a session-based CLI, providing intelligent code suggestions, refactoring, and code reviews based on the full context of the project.

A deliberately vulnerable banking application designed for practicing Security Testing of Web App, APIs, AI integrated App and secure code reviews. Features common vulnerabilities found in real-world applications, making it an ideal platform for security professionals, developers, and enthusiasts to learn pentesting and secure coding practices.

A GitHub Action that automatically reviews pull requests using Google's Gemini AI.

? Give Claude AI superpowers for GitHub workflows. Transform "fix stuff" commits into professional messages, generate intelligent changelogs, and get AI code reviews - all with one command.

Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF

Simple Pinecone + OpenAI framework to do RAG on movie reviews (or anything else)

Systematic Literature Review (SLR) using AI involves leveraging artificial intelligence techniques to automate and expedite the process of reviewing and synthesizing large volumes of scholarly literature.

A PyTorch CNN for classifying the sentiment of movie reviews, based on the paper "Convolutional Neural Networks for Sentence Classification" by Yoon Kim (2014).

A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-shot Learning. Keep updated frequently.

ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation

Sentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec

Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.

Successfully developed a machine learning model which can predict whether an online review is fraudulent or not. The main idea used to detect the fake nature of reviews is that the review should be computer generated through unfair means. If the review is created manually, then it is considered legal and original.

This repository contains a DistilBERT model fine-tuned using the Hugging Face Transformers library on the IMDb movie review dataset. The model is trained for sentiment analysis, enabling the determination of sentiment polarity (positive or negative) within text reviews.