distro-cl
by hughperkins
OpenCL Torch
AI summary
GPU accelerator
A pre-configured environment for running PyTorch on OpenCL-enabled GPUs
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Similar projects
Found by comparing what the projects do, not just their names.
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QANet impl
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C++ extension library
Enables the creation of custom C++ extensions with CUDA support in PyTorch
Table layers
A collection of PyTorch implementations of Torch Table Layers to simplify the transition from old Torch architectures.
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Deep learning library
A JavaScript library that provides GPU-accelerated deep learning capabilities with automatic differentiation and neural network layers.
Graph clustering library
A PyTorch extension library providing optimized graph cluster algorithms
PyTorch C++ implementation
A C++ implementation of PyTorch tutorials
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Model registry
A centralized repository of pre-trained machine learning models for deep learning frameworks like PyTorch.
Model runner
Enables running PyTorch models on ROS2 using CUDA devices in a containerized environment.
Image translator
An implementation of an image-to-image translation algorithm using deep learning and PyTorch
Deep Learning Tutorial
This repository provides tutorials and demo code for accelerated deep learning with PyTorch using Jupyter Notebook.
sotrh/learn-wgpu1.5K
GPU access library
A tutorial and guide to using the WGPU library in Rust for access to GPU functions
Wavelet processor
PyTorch implementation of wavelet analysis for signal processing
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