AI Tools that transform your day
Find AI tools that enhance data scientists' workflows for data preparation, model building, visualization, and deploying machine learning solutions.
Apache Mahout is a scalable machine learning framework that enables data scientists to implement algorithms using a mathematically expressive Scala DSL.
Apache MXNet is a flexible, open-source deep learning framework that enables efficient research prototyping and scalable production deployment.
Apache Nutch is a highly extensible web crawler that efficiently handles large-scale data acquisition and processing using robust plugin support.
Apache OpenNLP is a machine learning toolkit designed for processing natural language text, supporting essential NLP tasks like tokenization and named entity extraction.
Apache Samza is a stream processing framework designed for building real-time data processing applications with ease and scalability.
Apache SINGA is a distributed deep learning library that simplifies model training with features like automatic gradient calculation and interoperability.
Apache Spark MLlib is a scalable machine learning library that integrates seamlessly with Spark, offering high-quality algorithms for fast, iterative computations.
Apache Tika is a versatile toolkit for detecting and extracting metadata and text from over a thousand file types, aiding in content analysis and indexing.
APIs.AI is a forum for discussing and sharing resources related to conversational AI APIs and their applications across various platforms.
Aporia delivers secure and reliable AI with advanced guardrails and observability, ensuring robust protection against prompt and data leakage.
Appium is an open-source tool that enables UI automation across multiple platforms, including mobile, web, and desktop applications.
Apple Core ML enables seamless integration of machine learning models into apps for on-device predictions, enhancing privacy and performance.