There are currently 8 open-source projects built with ROCm, with a combined total of 157.0k GitHub stars. The most common language among these projects is C++.
Showing 8 open-source projects
A Python package for tensor computation with GPU acceleration and dynamic neural networks built on a tape-based autograd system.
An open-source, high-performance platform for developing, testing, and deploying autonomous vehicles.
A Rust-based deep learning framework and tensor library optimized for flexibility, efficiency, and cross-platform portability.
A NumPy/SciPy-compatible array library for GPU-accelerated computing with Python, supporting NVIDIA CUDA and AMD ROCm.
A Linux desktop app for offline note-taking, reading, and translation using speech-to-text, text-to-speech, and machine translation.
A PyTorch implementation of neural style transfer, combining the content of one image with the artistic style of another.
TensorFlow port for AMD GPUs via ROCm, enabling machine learning on Radeon hardware.
An exascale many-physics flow solver for compressible multi-phase simulations, scaling to 200 trillion grid points on 43K+ GPUs.
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