Popular GitHub Repositories for Categories

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

This is "SHIELD" a System for Harmful explicit-content Identification and Evaluation through LLM-Driven approach. Its primary object is to score explicit content for 15 different categories of explicitness from 0 to 100, it leverages LLMs as the primary scoring tool.

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

Creepy stalking tool to process security camera motion triggered images and sort seen objects in different categories, detect license plates and faces. Has PWA ready web front end. Meant to make property monitoring faster without need to watch video recordings.

PromptDet: Towards Open-vocabulary Detection using Uncurated Images, ECCV2022

? A unified AI agent orchestration system featuring 75+ specialized agents across 14 categories for modern software development. Built with advanced coordination intelligence, resilience engineering, and structured logging capabilities.

Automatic tagging of clothing in E-Commerce, Using Tensorflow and GCP. Classify the clothing products into various categories using Machine Learning.

? Your Personalised AI Chat Companion With 50+ Avatars Over 10+ Categories - Powered by OpenAI's GPT-3 / ChatGPT-3.5 Turbo / GPT-4, Google's Bard-AI, Pygmalion's 6B & StabilityAI's Stable-Diffusion models

[CVPR 2025 ?] ALM-Bench is a multilingual multi-modal diverse cultural benchmark for 100 languages across 19 categories. It assesses the next generation of LMMs on cultural inclusitivity.

Classification is the process of predicting the class of given data points. Classes are sometimes called as targets/ labels or categories.

A Large Semantic Knowledge Graph from Wikipedia Categories and Listings

Use Bi-LSTM neural network to classify Chinese text sentiment, including eight categories (like, disgust, happiness, sadness, anger, surprise, fear, none)

Document classification into four defined categories (World, Sports, Business, Sci/Tech). Text Pre-processing using NLTK. Trained with different models ranging from Naïve Bayes to Convolutional Neural Network (CNN) and RCNN.

Digikala online market has recently published some open source data in various categories. Since I always wanted to do some NLP project, so I thought of some useful tutorials in python for newcomers. I really hope this could be useful for you guys. I still keep updating the package and also will share the link of video and article related to this post soon!

2D semantic segmentation that assigns labels to multiple object categories on Potsdam dataset :rocket:

This repository contains CryMLClassifier, a machine learning model that classifies baby cries into five categories. It utilizes 193 features extracted from the cry audio data, achieving high accuracy with Random Forest and XGBoost algorithms. The repository includes a "features_extraction" folder for feature extraction code samples.

Classify your e-commerce products into categories of well-known e-commerce platforms. It uses OpenAI embeddings and LangChain.

This repository contains a project that focuses on evaluating the performance of different Language Models (LLMs) for multi-class news classification. The project aims to assess how well LLMs can classify news articles into five distinct categories: business, politics, sports, technology, and entertainment.

The Multimodal Sarcasm Detection System detects sarcasm in multimedia content using image-caption generation and NLP. It achieved 1st place in UITC2024 by classifying sarcasm into four categories: image, text, multi sarcasm, and not sarcasm.

Model Context Provider for Amazing Marvin productivity app - Access your tasks, projects, and categories in AI assistants