Pinned Repositories
dynolog
Dynolog is a telemetry daemon for performance monitoring and tracing. It exports metrics from different components in the system like the linux kernel, CPU, disks, Intel PT, GPUs etc. Dynolog also integrates with pytorch and can trigger traces for distributed training applications.
installer-framework
MobiMaliangSDK
MooER
MooER: Open-sourced LLM for audio understanding trained on 80,000 hours of data
Moore-AnimateAnyone
Character Animation (AnimateAnyone, Face Reenactment)
opencv
Open Source Computer Vision Library
qtbase
Qt Base (Core, Gui, Widgets, Network, ...)
RetinaGS
SimuMax
a static analytical model for LLM distributed training
torch_musa
torch_musa is an open source repository based on PyTorch, which can make full use of the super computing power of MooreThreads graphics cards.
MooreThreads's Repositories
MooreThreads/Moore-AnimateAnyone
Character Animation (AnimateAnyone, Face Reenactment)
MooreThreads/torch_musa
torch_musa is an open source repository based on PyTorch, which can make full use of the super computing power of MooreThreads graphics cards.
MooreThreads/MooER
MooER: Open-sourced LLM for audio understanding trained on 80,000 hours of data
MooreThreads/MobiMaliangSDK
MooreThreads/opencv
Open Source Computer Vision Library
MooreThreads/dynolog
Dynolog is a telemetry daemon for performance monitoring and tracing. It exports metrics from different components in the system like the linux kernel, CPU, disks, Intel PT, GPUs etc. Dynolog also integrates with pytorch and can trigger traces for distributed training applications.
MooreThreads/SimuMax
a static analytical model for LLM distributed training
MooreThreads/opencv_contrib
Repository for OpenCV's extra modules
MooreThreads/installer-framework
MooreThreads/kineto
MooreThreads/qtbase
Qt Base (Core, Gui, Widgets, Network, ...)
MooreThreads/RetinaGS
MooreThreads/muAlg
Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl
MooreThreads/muThrust
The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl