Stability AI StableCode AI technology Top Builders

Explore the top contributors showcasing the highest number of Stability AI StableCode AI technology app submissions within our community.

'StableCode'

StableCode-Instruct-Alpha-3B is a decoder-only model with 3 billion parameters. Pre-trained on top programming languages from the StackOverflow developer survey, it's a product by Stability AI intended for coding.

General	https://huggingface.co/stabilityai/stablecode-instruct-alpha-3b
Relese date	August 8, 2023
Author	Stability AI
Repository	https://huggingface.co/stabilityai/stablecode-instruct-alpha-3b

StableCode: Features & Highlights

Trained on a diverse set of languages from the stack-dataset (v1.2) by BigCode, including Python, Go, Java, and more.
Fine-tuned with ~120,000 code instruction/response pairs for specific use cases.
Extended context window for precise autocomplete suggestions. It can handle 2-4X more code than earlier models.
Designed to assist both seasoned and novice developers.

StableCode Resources

A curated list of libraries and technologies to help you build great projects with StableCode.

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Stability AI StableCode AI technology Hackathon projects

Discover innovative solutions crafted with Stability AI StableCode AI technology, developed by our community members during our engaging hackathons.

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

Meme gif generation using stable diffusion

This project embodies the fusion of two technologies: image generation with DALL-E and video synthesis with Stable Diffusion XL Turbo. Our initiative is centered on producing meme GIFs, which have become an important part of digital expression. The process begins with the generation of static images using DALL-E, an AI model known for its ability to create detailed and diverse visuals from textual descriptions. These images serve as the foundation and context for the subsequent video synthesis. The Stable Diffusion XL ("SDXL") Turbo is deployed for transitioning from stillness to motion. This particular model, a specialized variant of the Stable Video Diffusion (SVD) Image-to-Video, is adept at generating short video clips using a still image as the conditioning frame. Trained to produce 25 frames at a resolution of 576x1024, the model ensures each sequence is not just fluid but also retains temporal consistency, thanks to its finetuning from the SVD Image-to-Video [14 frames] and the f8-decoder. The result of this process is a collection of meme GIFs that are not only humorous and relevant but also boast a high degree of originality and quality. With the support of Stability AI, this generative image-to-video model unlocks new potentials in content creation, offering meme enthusiasts (everyone!!!) and digital content creators a tool to engage and entertain their audiences.

Polisplexity 3DCity video realism simulator

Polisplexity, a trailblazer in urban technology, intertwines AI, VR/AR, and mathematical modeling to reimagine city planning and management. This platform transforms complex urban data into dynamic, interactive city models, allowing for intricate simulation and analysis of urban life. At the Stable-Video-24-Hours-Hackathon, Polisplexity's team elevated this vision, introducing a revolutionary feature: converting static city photos into animated videos within the app. This innovation adds a new dimension to urban simulation, infusing static images with life-like movement and realism. Buildings pulse with activity, parks sway with virtual winds, and streets buzz with the rhythm of a living city, providing an immersive experience for users. This feature enhances the platform's capability for urban storytelling, making it not just a planning tool, but a medium to visualize and experience the potential future of cities. It aids urban planners, city officials, and citizens in visualizing and understanding complex urban changes, making the planning process more intuitive and engaging. Polisplexity stands as a testament to technological innovation in urban planning, where cities are not just planned but brought to life through advanced simulations. It marks a new era in urban management, where technology empowers us to see, feel, and interact with the cities of tomorrow.

Polisplexity Gemini 3D Multimodal City Simulatior

Polisplexity is an all-encompassing platform for city creation, administration, evolution, and simulation, integrating AI, VR/AR, mathematical modeling, and Google Gemini's technology. It's designed for comprehensive urban management, going beyond traditional planning. Incorporating Google Gemini, Polisplexity harnesses advanced computing and AI capabilities for deep data analysis and predictive modeling. This is vital for understanding urban dynamics, aiding in strategic decision-making and policy formulation for city evolution and administration. VR/AR elements in Polisplexity, enhanced by Gemini's power, offer immersive, interactive experiences. Users can simulate and visualize urban developments, testing various scenarios and planning strategies with high accuracy. Mathematical modeling, supported by Gemini's sophisticated data handling, ensures effective city management. It facilitates efficient resource distribution, traffic optimization, and sustainable environmental planning, handling complex urban datasets with enhanced precision. Polisplexity's collaborative aspect, powered by Google Gemini, enables real-time data processing and community engagement. It brings together city officials, planners, citizens, and technologists, promoting inclusive and responsive city development. Ideal for hackathons and collaborative urban projects, Polisplexity encourages innovation and rapid prototyping. It's a key resource for exploring and implementing advanced city management solutions, fostering dynamic and sustainable urban living. Polisplexity, with its integration of Google Gemini, represents a cutting-edge platform for creating, administering, evolving, and simulating cities, offering comprehensive tools for modern, efficient, and inclusive urban management.

Tru Era Applied

Hackathon Submission: Enhanced Multimodal AI Performance Project Title: Optimizing Multimodal AI for Real-World Applications Overview: Our project focused on optimizing multimodal AI performance using the TruEra Machine Learning Ops platform. We evaluated 18 models across vision, audio, and text domains, employing innovative prompting strategies, performance metrics, and sequential configurations. Methodology: Prompting Strategies: Tailored prompts to maximize model response accuracy. Performance Metrics: Assessed models on accuracy, speed, and error rate. Sequential Configurations: Tested various model combinations for task-specific effectiveness. Key Models Evaluated: Vision: GPT4V, LLava-1.5, Qwen-VL, Clip (Google/Vertex), Fuyu-8B. Audio: Seamless 1.0 & 2.0, Qwen Audio, Whisper2 & Whisper3, Seamless on device, GoogleAUDIOMODEL. Text: StableMed, MistralMed, Qwen On Device, GPT, Mistral Endpoint, Intel Neural Chat, BERT (Google/Vertex). Results: Top Performers: Qwen-VL in vision, Seamless 2.0 in audio, and MistralMed in text. Insights: Balance between performance and cost is crucial. Some models like GPT and Intel Neural Chat underperformed or were cost-prohibitive. Future Directions: Focus on fine-tuning models like BERT using Vertex. Develop more connectors for TruLens for diverse endpoints. Submission Contents: GitHub Repository: [Link] Demo: [Link] Presentation: [Link] Our submission showcases the potential of multimodal AI evaluation using TruEra / TruLens in enhancing real-world application performance, marking a step forward in human-centered AI solutions.