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Tensors and Dynamic neural networks in Python with strong GPU acceleration
The fundamental package for scientific computing with Python.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Parallel computing with task scheduling
NumPy & SciPy for GPU
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.