Matplotlib, Parallel algorithm, Matrox, Tensor, GPGPU, Graphics processing unit

On Jan 20, 2017
@changelog shared
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Dynamic Neural Networks: Tape-Based Autograd

Tensors and Dynamic neural networks in Python with strong GPU acceleration - pytorch/pytorch

On Jan 20, 2017
@changelog shared
Open

Dynamic Neural Networks: Tape-Based Autograd

Tensors and Dynamic neural networks in Python with strong GPU acceleration - pytorch/pytorch

10 hot data analytics trends — and 5 going cold

Big data, machine learning, data science — the data analytics revolution is evolving rapidly. Keep your BA/BI pros and data scientists ahead of the curve with the latest technologies and ...

What is CUDA? Parallel programming for GPUs

You can accelerate deep learning and other compute-intensive apps by taking advantage of CUDA and the parallel processing power of GPUs