Boyuan Feng's repositories
algorithmic-efficiency
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
Language:PythonApache-2.0000
benchmark
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
Language:PythonBSD-3-Clause000
cramming
Cramming the training of a (BERT-type) language model into limited compute.
Language:PythonMIT000
executorch
End-to-end solution for enabling on-device AI across mobile and edge devices for PyTorch models
Language:C++NOASSERTION000
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Language:PythonNOASSERTION000
torchrec
Pytorch domain library for recommendation systems
Language:PythonBSD-3-Clause000