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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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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Apache Spark - A unified analytics engine for large-scale data processing
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Graph Neural Network Library for PyTorch
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
Rust bindings for the C++ api of PyTorch.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai
Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.
The Classical Language Toolkit