3 Repos
Awesome GitHub RepositoriesFrameworks and Implementations
Codebases and frameworks for building deep learning systems from scratch.
Explore 3 awesome GitHub repositories matching part of an awesome list · Frameworks and Implementations. Refine with filters or upvote what's useful.
Awesome Frameworks and Implementations GitHub Repositories
Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
- hpcaitech/colossalai
hpcaitech/ColossalAI
41,395Auf GitHub ansehenColossalAI 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
2,016Auf GitHub ansehenTinyFlow 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.
