Auto-scale AI models, GPU-accelerated computing, and easy deployment with an intuitive UI and comprehensive docs.
68 visits/mo-90.5%#1098 Coding & Development
Free AI Tools for AI Models & APIs
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MeetraAI: Automate tasks, gain insights, and leverage predictive analytics, ML, and NLP for a competitive edge.
1.7K visits/mo+21.5%
Accurately predict car lifespan, access data on 100M+ cars, and get insights like MOT history and fuel economy.
1.5K visits/mo+357.5%#945 Coding & Development
Generate language models, customize and deploy with ease, and optimize performance using different architectures.
1.5K visits/mo-39.6%#933 Coding & Development
LLM inference GPU sizing calculator with validated throughput predictions
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Train, deploy and optimize machine learning models quickly and easily with powerful analytics and seamless integration.
1.6K visits/mo+408%#926 Coding & Development
Independent product studio building software, AI products and privacy-first tools
1.4K visits/mo+9.1%
Build, train, and deploy models seamlessly with tools for data exploration, model training, and ML solutions.
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An advanced AI framework that integrates LLM capabilities into applications to automate data processing, detect patterns, and support decision-making.
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Provides structured e-commerce data for AI agents via a REST API, tracking over 500 million products across Amazon and TikTok Shop.
1.3K visits/moTrend shows from next month
Create custom AI models, deploy apps, access data tools & resources.
63 visits/mo-94.2%#1099 Coding & Development
Open-source CLI for natural-language server administration with reviewable execution
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Curated reviews and comparisons of AI and software tools for developers and creators
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Curated directory of open-source AI assets for developers
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Generates AI tool pipeline blueprints from natural-language descriptions
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Self-assessment tool to evaluate AI adoption level and readiness for teams or businesses
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Automate data-driven decisions, streamline ModelOps pipelines, and unlock the power of data science for actionable insights.
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Runtime security and governance tool for LLM applications and agents
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Create, deploy and access a host of AI development tools and features effortlessly.
266 visits/moTrend shows from next month
Automate sentiment analysis, extract keywords, and identify key entities in customer reviews, blog posts, and news articles.
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Extract insights, identify entities, detect sentiment, and analyze large volumes of text data in multiple languages.
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Create NLP models for information extraction, analyze sentiment in text data, and generate text with natural language processing.
492 visits/mo-84.6%#1039 Coding & Development
Faster sorting algorithms discovered, investigates assembly instructions for improvements, enables more efficient data sorting.
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Automate tasks, make better decisions, and monitor AI model performance with a user-friendly dashboard.
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AMA provides personalized recommendations, quick data analysis, and intuitive interface for finding answers in seconds.
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Create smarter applications with Amazon's suite of AI services.
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Automate customer sentiment analysis, create reports, and identify entities with pre-trained models and custom entity recognition.
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Build high-quality ML datasets with automated labeling, pre-built workflows, and accurate labeling jobs.
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Build custom models, automate processes, gain valuable insights from data with pre-trained models.
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Build, deploy, and scale AI apps with Ango Hub's comprehensive platform.
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Create accurate customer segments, automate customer support tasks, enhance predictive analytics with AI-driven insights.
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Create data processing applications, generate predictive models, and handle high-volume data collection and analytics.
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Leverage deep learning models, distributed training, and Python/R programming for custom model development and deployment.
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Efficiently tokenize text, extract named entities and sentiments, and uncover patterns for informed decision-making.
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Train, develop, deploy, and evaluate deep learning models with customizability.
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Build regression, classification, and anomaly detection models at scale using Apache Spark ML's scalable, distributed machine learning library.
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