Popular GitHub Repositories for Niche Items

Visual Studio Code client for Tabnine. https://marketplace.visualstudio.com/items?itemName=TabNine.tabnine-vscode

[COLM-2024] List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs

Welcome to GPTNicheFinder, a powerful niche research tool powered by Google Trends data and OpenAI's GPT model. This application provides a streamlined approach to identify profitable niche markets by leveraging data-driven insights and cutting-edge artificial intelligence.

A library for advanced Natural Language Processing towards multi-modal educational items.

Automate Fashion Image Captioning using BLIP-2. Automatic generating descriptions of clothes on shopping websites, which can help customers without fashion knowledge to better understand the features (attributes, style, functionality etc.) of the items and increase online sales by enticing more customers.

MeetingScribe is an AI-driven command-line tool designed to streamline your meeting experience by handling transcription, translation, and note-taking. Effortlessly generate accurate translation/transcription in English from audio file. Additionally, the tool intelligently creates meeting notes, summaries, and identifies action items.

Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.

Faster, better, smarter ecological niche modeling and species distribution modeling

A tensorflow model for segmentation of fashion items out of multiple product images

Open Studio is an open-source AI ecosystem powering research and automation with specialized agents like ChatHub for AI conversations and OpenStudio Tube for YouTube creators. More niche AI tools on the way—powerful, open, and built for impact!

This project use PANNs for audio tagging and sound event detection, and finally get audio embeddings. Then Milvus is used to search the similarity audio items.

MCP Server to interact with Monday.com boards and items

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

A project using machine learning to recommend new menu items based on foods the user already loves.

Statistics, signal processing, finance, econometrics, manufacturing, networking[disambiguation needed] and data mining, anomaly detection (also outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.

NotesGPT ?? seamlessly converts your voice notes into organized summaries and clear action items using AI ?.

Improve user′s average time on page of your Gridsome site by automatically finding related posts or products. Uses machine learning to determine recommendations of all kind, be it other posts, context-related ads, related products in your shop, affiliate products and more.

This project is a Customer Feedback Analysis AI Agent that do analysis, generates insights and action items based on customer feedback.

An item-based recommender model that computes cosine similarity for each item pairs using the item factors matrix generated by Spark MLlib’s ALS algorithm and recommends top 5 items based on the selected item.

MuNic-BFor: Multi-Niche Bacterial Foraging (Evolutionary) Algorithm for Multimodal Dynamic Optimizations (intially developed for hyper-parameter optimizations of neural networks)