GitHub topic

gpu-computing GitHub repositories

Explore 5 tracked GitHub repositories tagged gpu-computing. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 6 stars since the previous daily snapshot.

Tracked repositories: 5
Total stars: 13,886
Stars gained · 7 days: +63
Stars gained · 30 days: +190

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Star activity for gpu-computing repositories on this page
Repository	Total stars	Today	7 days	30 days
catboost/catboost	9.2K	+4	+25	+60
BindsNET/bindsnet	1.7K	+0	+1	+4
mratsim/Arraymancer	1.4K	+0	+0	+11
zszazi/Deep-learning-in-cloud	827	+1	+1	+0
warpfront/hipfire	758	+1	+36	+115

Explore repositories

Showing 1–5 of 5 tracked repositories.

catboost/catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

★ 9.2K+4 todayC++

machine-learning python

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BindsNET/bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

★ 1.7K+0 todayPython

machine-learning pytorch

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mratsim/Arraymancer

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends