Explore Projects
Discover 133 open source projects
Showing 81-100 of 133 projects
kevmo314/scuda
SCUDA is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.
OpenPPL/ppq
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
DTolm/VkFFT
A high-performance Fast Fourier Transform (FFT) library for Vulkan, CUDA, HIP, OpenCL, Level Zero, and Metal.
coderonion/awesome-yolo-object-detection
A curated collection of YOLO object detection projects and datasets for developers working with computer vision and AI.
m4rs-mt/ILGPU
ILGPU is a high-performance .NET GPU compiler that enables developers to write and run GPU programs in C#.
aphrodite-engine/aphrodite-engine
A large-scale LLM inference engine built in C++ with support for various AI hardware accelerators.
Xtra-Computing/thundersvm
A fast and scalable SVM library for classification and regression tasks on GPUs and CPUs.
wangzhaode/mnn-llm
A C++ project for deploying large language models (LLMs) like ChatGLM and Baichuan using the MNN framework.
koide3/fast_gicp
A fast, efficient open-source C++ library for point cloud registration using GICP algorithms.
beam-cloud/beta9
Ultrafast serverless GPU inference, sandboxes, and background jobs for AI-focused developers.
ELS-RD/kernl
Kernl is a library that lets you run PyTorch transformer models several times faster on GPU with a single line of code.
sniklaus/3d-ken-burns
An implementation of the 3D Ken Burns Effect from a single image using PyTorch.
godweiyang/NN-CUDA-Example
Example code for custom CUDA operators in PyTorch
Zaneham/BarraCUDA
Open-source CUDA compiler that targets AMD GPUs, compiling CUDA code to GFX11/12 machine code.
psalias2006/gpu-hot
A real-time dashboard for monitoring NVIDIA GPU usage and performance metrics.
beehive-lab/TornadoVM
TornadoVM is a heterogeneous programming framework that enables developers to leverage GPUs and other accelerators for improved performance in Java applications.
AlexiaJM/Deep-learning-with-cats
A Python repository for experimenting with deep learning and computer vision using images of cats.
vlfeat/matconvnet
MatConvNet: A deep learning framework for MATLAB, utilizing CUDA.
marian-nmt/marian
A high-performance C++ library for neural machine translation, with CUDA support for GPU acceleration.
FeiYull/TensorRT-Alpha
A C++ library for accelerating YOLO-based computer vision models using NVIDIA's TensorRT framework.
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