12 skills found
vipshop / Cache DitA PyTorch-native inference engine with hybrid cache acceleration and massive parallelism for DiTs.
hpcaitech / ColossalAI ExamplesExamples of training models with hybrid parallelism using ColossalAI
CGCL-codes / YiTuYiTu is an easy-to-use runtime to fully exploit the hybrid parallelism of different hardwares (e.g., GPU) to efficiently support the execution of various kinds of graph algorithms (e.g., GNNs).
DeepRec-AI / HybridBackendA high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster
AlibabaPAI / DAPPLEAn Efficient Pipelined Data Parallel Approach for Training Large Model
flatironinstitute / SkellySimHydrodynamic Cytoskeleton Simulator
DreamingRaven / NemesystGeneralised and highly customisable, hybrid-parallelism, database based, deep learning framework.
angerybob / HD MoEHD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing
Deeptanshu-sankhwar / HorizonmlA Hybrid Model Parallelism Framework for Distributed Training on Edge Devices. HorizonML enables efficient training of machine learning models across heterogeneous edge devices using distributed model parallelism, optimizing computation, communication, and resource allocation.
kaist-dmlab / Hybridiff[CVPR 2026] Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling
ngc436 / Deadline Constrained SchedulingCode of experiments in the paper "Efficient Deadline-Constrained Scheduling and Hybrid Parallelism Optimization of Distributed AutoML Pipelines"
jyssys / Hybridiff[CVPR 2026] Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling
