Beast code in Giters

Meghan Cowan's repositories

Artifact repository for paper Automatic Generation of High-Performance Quantized Machine Learning Kernels

Language:PythonBSD-3-Clause17 3 2

bring deep learning workloads to bare metal

Language:PythonApache-2.04 20

EECS 573 Project

Language:C++100

Language:Python010

Repository for MLCommons Chakra schema and tools

Language:PythonApache-2.0000

Personal website

Language:HTML000

A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")

Language:C++NOASSERTION000

Low-precision matrix multiplication

Language:C++Apache-2.0000

Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)

Language:JsonnetApache-2.0000

Bring deep learning to bare metal

Language:C++Apache-2.0000

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Language:PythonNOASSERTION000

Synthesizer for optimal collective communication algorithms

Language:PythonMIT000

TVM homepage repo

Language:Ruby000

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Apache-2.0000

Unified Collective Communication Library

Language:CBSD-3-Clause000

Enabling PyTorch on Google TPU

Language:C++NOASSERTION000