pydlpack

NumPy & SciPy for GPU

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

A flexible framework of neural networks for deep learning

A simplified implemention of Faster R-CNN that replicate performance from origin paper

an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

ChainerCV: a Library for Deep Learning in Computer Vision

an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

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A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:

High-Performance Klong array language in Python.