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Unified analytics engine for large-scale data processing
Free 9-week data engineering course with hands-on modules on pipelines, dbt, Kafka, and Spark
Data science Python notebooks covering deep learning, machine learning, big data, and more.
Redash enables data-driven decisions by connecting to data sources and creating visualizations and dashboards.
Distributed gradient boosting library for fast and accurate data science solutions
Docker & container tutorial and practice guide for DevOps
MLflow is an open-source platform for building, tracking, and deploying AI/ML models with end-to-end observability and evaluation tools.
A personal collection of books, including PDF downloads, Baidu Cloud, and e-book downloads.
End-to-end tutorials covering production-grade GenAI agents with reusable patterns and blueprints.
A comprehensive guide to big data technologies like Hadoop, Spark, Kafka, and more for developers.
A comprehensive collection of data science cheatsheets for developers and data scientists.
A GUI for ChatGPT API and many LLMs with a neat UI, supporting agents, file-based QA, GPT finetuning, and query with web search.
Apache Doris is a high-performance, unified analytics database for real-time data processing.
This is a comprehensive learning resource for the Flink stream processing framework, covering concepts, principles, and real-world use cases.
A comprehensive collection of Java-related resources for developers, including interview prep, architecture guides, and popular middleware.
Distributed training framework for deep learning models using popular ML libraries like TensorFlow, Keras, PyTorch, and MXNet.
Suite of tools for deploying and training deep learning models using the JVM
A Python library for fast, customizable, and interactive data profiling and exploratory data analysis.
Botkit is an open-source framework for building chatbots, apps, and custom integrations for popular messaging platforms.
Spark-TTS is an open-source Python library for high-quality text-to-speech inference.
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