Pinned Repositories
dgl-operator
The DGL Operator makes it easy to run Deep Graph Library (DGL) graph neural network training on Kubernetes
Adversarial-Search
🤖 Adversarial Search with AI, from Udacity AI Nanodegree
android-programming-labs
📚 This is a project collection from Stevens CS522 Mobile Sys & App
Classical-Planning
🤖 Classical Planning with AI, from Udacity AI Nanodegree
community
Information about the Kubeflow community including proposals and governance information.
dgl-operator
The DGL Operator makes it easy to run Deep Graph Library (DGL) graph neural network training on Kubernetes
Movie-Recommendation-Web-App
:clapper: This site focuses on the information of movies, and helps people to find a movie by different key words and recommend some similar movies to users.
veloce
WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.
ryantd's Repositories
ryantd/veloce
WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.
ryantd/android-programming-labs
📚 This is a project collection from Stevens CS522 Mobile Sys & App
ryantd/community
Information about the Kubeflow community including proposals and governance information.
ryantd/dgl-operator
The DGL Operator makes it easy to run Deep Graph Library (DGL) graph neural network training on Kubernetes
ryantd/azkaban-on-k8s
azkaban-on-k8s
ryantd/determined
Determined: Deep Learning Training Platform
ryantd/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
ryantd/dgl-ke
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
ryantd/enscale
Renamed and moved to https://github.com/ryantd/veloce
ryantd/flink-ai-extended
ryantd/intel-mkl-src
Redistribute Intel MKL as a crate
ryantd/internal-acls
Repository used to main group ACLs used by Kubeflow developers
ryantd/kuberay
A toolkit to run Ray applications on Kubernetes
ryantd/metaflow
Build and manage real-life data science projects with ease.
ryantd/metaflow-docs
ryantd/mpi-operator
Kubernetes Operator for Allreduce-style Distributed Training
ryantd/PERSIA
High performance distributed framework for training deep learning recommendation models based on PyTorch.
ryantd/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ryantd/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.
ryantd/ray-community
ryantd/ryantd
ryantd/ryantd.github.io
ryantd/SyntheticImagesAnalysis
Synthetic Images Analysis
ryantd/tf-operator
Tools for ML/Tensorflow on Kubernetes.
ryantd/torchrec
Pytorch domain library for recommendation systems
ryantd/tutorials
ryantd/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
ryantd/xgboost-operator
Incubating project for xgboost operator
ryantd/xgboost_ray
Distributed XGBoost on Ray
ryantd/zenml
ZenML: Bring Zen to your ML with reproducible pipelines