OpenAI Shap-E

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OpenAI Shap-E

Shap-E directly generates the parameters of implicit functions that can be rendered as both textured meshes and neural radiance fields

General
Relese date	May, 2023
Author	OpenAI
Research Paper	https://arxiv.org/abs/2305.02463
Repository	https://github.com/openai/shap-e
Type	conditional generative model for 3D assets

OpenAI Shap-E Tutorials

Shap-E Tutorial: how to set up and use Shap-E model

👉 Discover more Shap-E Tutorials on lablab.ai

Libraries

A curated list of libraries and technologies to help you play with OpenAI Shap-E.

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OpenAI Shap-E AI technology Hackathon projects

Discover innovative solutions crafted with OpenAI Shap-E AI technology, developed by our community members during our engaging hackathons.

Atlas AI

Atlas AI is an explainable artificial intelligence system designed for trading platforms operating in high-risk financial environments. Today, platforms face three major challenges: financial losses caused by fraud, poor user risk management, and increasing regulatory pressure requiring transparency in automated decisions. Existing solutions often rely on black-box models that lack trust and accountability. Atlas AI addresses this gap by combining real-time risk prediction with explainable AI. The system analyzes user behavior, trading patterns, and risk signals to detect anomalies, predict potential losses, and flag high-risk accounts. For every alert or decision, Atlas AI provides clear, human-readable explanations that can be understood by platform operators, users, and regulators. This approach improves trust, reduces fraud, strengthens compliance, and enables safer, more responsible platform growth. Atlas AI is scalable, API-driven, and designed to integrate seamlessly into platforms like Deriv.

HeimdallAI

HeimdallAI is an intelligent, autonomous penetration testing platform that leverages Large Language Models (LLMs), agentic AI, and explainable AI to continuously discover, assess, and report security vulnerabilities across an organization's entire attack surface. It is pentesting that never sleeps — a system that thinks like a seasoned security researcher, reasons through attack chains, and delivers actionable intelligence at machine speed. Traditional penetration testing is expensive, infrequent, and constrained by human availability. Organizations typically engage pentesters once or twice a year, leaving months-long blind spots where new vulnerabilities go undetected. HeimdallAI eliminates this gap by providing continuous, AI-driven security assessment that operates 24/7, scales effortlessly, and costs a fraction of manual testing.

NetConnect

Public Sector Network Connectivity Analyzer The Public Sector Network Connectivity Analyzer is a comprehensive solution designed to address the critical need for reliable network monitoring across public institutions. Our application serves as an essential tool for IT administrators managing connectivity infrastructure for schools, healthcare facilities, government offices, libraries, and other public service organizations. Core Capabilities Real-Time Network Visualization Interactive diagrams and topology maps provide clear visibility into how public institutions are connected, displaying network elements, connection points, and infrastructure components with intuitive visualization tools. Performance Monitoring System Our platform continuously tracks vital network metrics including uptime percentages, latency measurements, bandwidth utilization, and connection status across the entire public sector network, enabling proactive management. Advanced Simulation Engine IT professionals can run comprehensive simulations to test network resilience under various scenarios such as increased user loads, infrastructure failures, or cyber incidents, helping identify vulnerabilities before they impact critical services. Institution Management Portal Administrators can efficiently manage information about connected institutions, monitor their connection status in real-time, and access detailed performance metrics through a unified dashboard interface. Geographic Mapping Integration Our system incorporates geographic visualization capabilities to display the physical distribution of institutions and network infrastructure across regions, facilitating better resource allocation and planning. Technical Implementation This solution addresses the unique challenges faced by public sector organizations that require reliable connectivity for delivering essential services to communities, while providing the tools needed to ensure network resilience, performance, and security.

SupplyGenius Pro

Core Features 1. Document Processing & Analysis - Automated analysis of supply chain documents - Extraction of key information (parties, dates, terms) - Compliance status verification - Confidence scoring for extracted data 2. Demand Forecasting & Planning - AI-powered demand prediction - Time series analysis with confidence intervals - Seasonal pattern recognition - Multi-model ensemble forecasting (LSTM, Random Forest) 3.Inventory Optimization - Real-time inventory level monitoring - Dynamic reorder point calculation - Holding cost optimization - Stockout risk prevention 4. Risk Management - Supply chain disruption simulation - Real-time risk monitoring - Automated mitigation strategy generation - Risk score calculation 5. Supplier Management - Supplier performance tracking - Lead time optimization - Pricing analysis - Automated purchase order generation 6. Financial Analytics - ROI calculation - Cost optimization analysis - Financial impact assessment - Budget forecasting 7. Real-time Monitoring - Live metrics dashboard - WebSocket-based alerts - Performance monitoring - System health tracking 8. Security Features - JWT-based authentication - Role-based access control - Rate limiting - Secure API endpoints -- Technical Capabilities 1. AI Integration - IBM Granite 13B model integration - RAG (Retrieval Augmented Generation) - Custom AI toolchains - Machine learning pipelines 2. Data Processing - Real-time data processing - Time series analysis - Statistical modeling - Data visualization 3. Performance Optimization - Redis caching - Async operations - Rate limiting - Load balancing 4. Monitoring & Logging - Prometheus metrics - Detailed logging - Performance tracking - Error handling