tedhtchang
IBM Open Technology and Performance @ Silicon Valley Lab Performance and Software Engineer
IBMUnited States
Pinned Repositories
flink-kubernetes-operator
Apache Flink Kubernetes Operator
community-operators
The canonical source for Kubernetes Operators that are published on OperatorHub.io and part of the default catalog of the Operator Lifecycle Manager.
distributed-workloads
Artifacts for the Distributed Workloads stack as part of ODH
odh-manifests
A repository for Open Data Hub Kustomize manifests extending upstream Kubeflow manifests
codeflare-operator
Operator for installation and lifecycle management of CodeFlare distributed workload stack
community-operators-prod
community-operators metadata backing OpenShift OperatorHub
bert-sentiment-tfjs
Sentiment Analysis using BERT model and Tensorflowjs
bert-tokenizer
A simple tool to generate bert tokens and input features
JanusGraphBench
This repository has been moved. Please visit
populate_feast_online_store
tedhtchang's Repositories
tedhtchang/appwrapper
AppWrapper controller for Kueue
tedhtchang/codeflare-common
Common packages for use with CodeFlare Distributed Workload stack.
tedhtchang/codeflare-operator
Operator for installation and lifecycle management of CodeFlare distributed workload stack, starting with MCAD and InstaScale
tedhtchang/codeflare-sdk
An intuitive, easy-to-use python interface for batch resource requesting, access, job submission, and observation. Simplifying the developer's life while enabling access to high-performance compute resources, either in the cloud or on-prem.
tedhtchang/community-operators
The canonical source for Kubernetes Operators that are published on OperatorHub.io and part of the default catalog of the Operator Lifecycle Manager.
tedhtchang/community-operators-prod
community-operators metadata backing OpenShift OperatorHub
tedhtchang/distributed-workloads
Artifacts for installing the Distributed Workloads stack as part of ODH
tedhtchang/emptyrepo
tedhtchang/flink-kubernetes-operator
Apache Flink Kubernetes Operator
tedhtchang/fms-hf-tuning
🚀 Collection of tuning recipes with HuggingFace SFTTrainer and PyTorch FSDP.
tedhtchang/foundation-model-stack
🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
tedhtchang/go-train-conductor
tedhtchang/kfserving
Serverless Inferencing on Kubernetes
tedhtchang/kuberay
A toolkit to run Ray applications on Kubernetes
tedhtchang/kuberay-tls
tedhtchang/kueue
Kubernetes-native Job Queueing
tedhtchang/modelmesh-serving
Controller for ModelMesh
tedhtchang/monitor-custom-ml-engine-with-watson-openscale
Deploy a Custom Machine Learning engine and Monitor Payload Logging and Fairness using AI OpenScale
tedhtchang/multi-cluster-app-dispatcher
Holistic job manager on Kubernetes
tedhtchang/odh-contrib-manifests
Component manifests contributed by community members that integrate with Open Data Hub
tedhtchang/odh-manifests
A repository for Open Data Hub Kustomize manifests extending upstream Kubeflow manifests
tedhtchang/olm
tedhtchang/opendatahub-operator
Open Data Hub operator to manage ODH component integrations
tedhtchang/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.
tedhtchang/tedbuy
tedhtchang/torchx
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
tedhtchang/train-conductor
Training job management tool for foundation model service
tedhtchang/training-operator
Training operators on Kubernetes.
tedhtchang/trustyai-service-operator
Kubernetes operator for the TrustyAI service
tedhtchang/watsonx-chatbot-lab.github.io
A template to embed the watsonx assistant chatbot using GitHub pages