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Top 10 Open Source Machine Learning Projects Every Developer Should Know (2025)

  • A powerful library for natural language processing (NLP), computer vision and multimodal tasks. Simplifies access to state-of-the-art models.
  • A classic ML library for everything from regression to clustering and pipelines. Perfect for beginners and essential for production workflows involving classical machine learning.
  • A deep learning optimization library developed by Microsoft. Powers training of trillion-parameter models and helps reduce memory usage.
  • A toolkit to build LLM-powered apps with external data sources using retrieval-augmented generation (RAG). LLM-agnostic and perfect for connecting your documents, databases, or APIs to LLMs.

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