Xiaoyu Zhai's repositories
android-programming-labs
📚 This is a project collection from Stevens CS522 Mobile Sys & App
dgl-operator
The DGL Operator makes it easy to run Deep Graph Library (DGL) graph neural network training on Kubernetes
azkaban-on-k8s
azkaban-on-k8s
determined
Determined: Deep Learning Training Platform
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
dgl-ke
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
intel-mkl-src
Redistribute Intel MKL as a crate
internal-acls
Repository used to main group ACLs used by Kubeflow developers
kuberay
A toolkit to run Ray applications on Kubernetes
metaflow
Build and manage real-life data science projects with ease.
mpi-operator
Kubernetes Operator for Allreduce-style Distributed Training
PERSIA
High performance distributed framework for training deep learning recommendation models based on PyTorch.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
SyntheticImagesAnalysis
Synthetic Images Analysis
tf-operator
Tools for ML/Tensorflow on Kubernetes.
torchrec
Pytorch domain library for recommendation systems
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
xgboost-operator
Incubating project for xgboost operator
xgboost_ray
Distributed XGBoost on Ray
zenml
ZenML: Bring Zen to your ML with reproducible pipelines