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-[Pandas](https://github.com/pandas-dev/pandas) | Python, Cython | - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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-[Polars](https://github.com/pola-rs/polars)| Rust, Python | - Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow Columnar Format as memory model.
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- Machine Learning
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-[Hugging Face](https://github.com/huggingface/) - The AI community building the future.
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-[LangChain](https://github.com/langchain-ai/langchain) - Building applications with LLMs through composability
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-[Sikit-learn](https://github.com/scikit-learn/scikit-learn) | Python, Cython | - Machine learning in Python
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-[JAX](https://github.com/google/jax) - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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-[Pytorch](https://github.com/pytorch/pytorch) | Python | - Tensors and Dynamic neural networks in Python with strong GPU acceleration
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-[Keras](https://github.com/keras-team/keras) | Python | - The most user friendly Deep Learning for humans in Python
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-[TensorFlow](https://github.com/tensorflow/tensorflow) | Python, C++ | - More low level Deep Learning framework
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-[Pytorch](https://github.com/pytorch/pytorch) | Python | - Tensors and Dynamic neural networks in Python with strong GPU acceleration
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-[Hugging Face](https://github.com/huggingface/) - The AI community building the future.
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-[LangChain](https://github.com/langchain-ai/langchain) - Building applications with LLMs through composability
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- DAG
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-[Rustworkx](https://github.com/Qiskit/rustworkx/tree/main) | Rust, Python | - A high performance Python graph library implemented in Rust.
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-[Networkx](https://github.com/networkx/networkx) | Python | - Network Analysis in Python
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