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Awesome List
A curated list of awesome Machine Learning frameworks, libraries and software.
GitHub stars and default-branch commits for josephmisiti/awesome-machine-learning.
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
The Classical Language Toolkit