3 dépôts
Awesome GitHub RepositoriesFrameworks and Implementations
Codebases and frameworks for building deep learning systems from scratch.
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Awesome Frameworks and Implementations GitHub Repositories
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- hpcaitech/colossalai
hpcaitech/ColossalAI
41,395Voir sur GitHubColossalAI is a distributed deep learning framework designed for training and deploying massive artificial intelligence models across clusters of hardware accelerators. It functions as a parallel computing engine that partitions model workloads and data across multiple processors to maximize memory efficiency and throughput. The platform distinguishes itself through a comprehensive suite of parallelization strategies, including multi-dimensional tensor parallelism and pipeline-based model parallelism, which segment neural network layers and stages across devices. To support large-scale genera
Unified deep learning system for large-scale model training and inference.
Pythonaibig-modeldata-parallelism - tqchen/tinyflow
tqchen/tinyflow
2,016Voir sur GitHubTinyFlow is "example code" for NNVM.
Educational implementation of a deep learning system in minimal code.
C++ - haifeng-jin/readable-ml-framework
haifeng-jin/readable-ml-framework
A machine learning framework with readable source code.
A readable framework for understanding machine learning system internals.
