Pinned Repositories
dlrm
An implementation of a deep learning recommendation model (DLRM)
recipes
Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifically, recipes aims to provide- Consistent access to pre-trained SOTA models ready for production- Reference implementations for SOTA research reproducibility, and infrastructure to guarantee correctness, efficiency, and interoperability.
dlrm
An implementation of a deep learning recommendation model (DLRM)
FBGEMM
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
recipes
Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifically, recipes aims to provide- Consistent access to pre-trained SOTA models ready for production- Reference implementations for SOTA research reproducibility, and infrastructure to guarantee correctness, efficiency, and interoperability.
torchrec
Pytorch domain library for recommendation systems
FBGEMM
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
torchrec
Pytorch domain library for recommendation systems
joshuadeng's Repositories
joshuadeng/dlrm
An implementation of a deep learning recommendation model (DLRM)
joshuadeng/FBGEMM
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
joshuadeng/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
joshuadeng/recipes
Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifically, recipes aims to provide- Consistent access to pre-trained SOTA models ready for production- Reference implementations for SOTA research reproducibility, and infrastructure to guarantee correctness, efficiency, and interoperability.
joshuadeng/torchrec
Pytorch domain library for recommendation systems