Stars
SparseTIR: Sparse Tensor Compiler for Deep Learning
neuralmagic / transformers
Forked from huggingface/transformers🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Paella: Low-latency Model Serving with Virtualized GPU Scheduling
BERT based pretrained model using SQuAD 2.0 Dataset for Question-Answering
A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
A retargetable MLIR-based machine learning compiler and runtime toolkit.
A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework. @月来客栈
In this repository, I will publish my notes for GaTech's Advanced Operating Systems course (CS6210).
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
A Kubernetes mutating webhook server that implements sidecar injection
elastic-gpu-scheduler is a Kubernetes scheduler extender for GPU resources scheduling.
heterogeneity-aware-lowering-and-optimization
elastic-gpu-agent is a Kubernetes device plugin for GPU resources allocation on node.
My resume
Run your deep learning workloads on Kubernetes more easily and efficiently.