benjamintanweihao
I'm a Machine Learning Engineer at DKatalis and author of both The Little Elixir and OTP Guidebook and The Mastering Ruby Closures Book.
@DkatalisSingapore
Pinned Repositories
blitzy
A simple HTTP load tester in Elixir
code_rippa
Take your source code and convert them into a beautifully formatted PDF. Features include PDF bookmarks and a bunch of textmate themes to choose from.
distributed-systems-references
A collection of papers that was referenced at the end of Jonas Bonér's The Road to Akka Cluster and Beyond ... talk.
elixir-cheatsheets
elixir-sips-downloader
Download utility for Elixir Sips screencast
exile
EXILE – An EliXir Irc LoggEr
langlang
Learning how to build a language on the BEAM
the-little-elixir-otp-guidebook-code
Code examples for The Little Elixir & OTP Guidebook
YOLOv3
YOLOv3 Implementation in TensorFlow 1.1X
benjamintanweihao's Repositories
benjamintanweihao/kubeflow-mnist
benjamintanweihao/argoflow
Deploying Kubeflow with Argo CD
benjamintanweihao/alpr-with-kubeflow
benjamintanweihao/Flask-MongoDB-K3s-KNative-TodoApp
benjamintanweihao/mlopscommunitysummit
Building ML Blocks with Kubeflow Orchestration with Feature Store.
benjamintanweihao/ArgoFlow-2
benjamintanweihao/argoflow-test
benjamintanweihao/BentoML
Unified Model Serving Framework 🍱
benjamintanweihao/chainlit
Build Conversational AI in minutes ⚡️
benjamintanweihao/cli-experimental
Experimental Kubectl libraries and commands.
benjamintanweihao/demo-beam-summit-2018
Python Streaming Pipelines with Beam on Flink - Demo
benjamintanweihao/docs
User documentation for Knative components.
benjamintanweihao/examples-1
benjamintanweihao/feast
Feature Store for Machine Learning
benjamintanweihao/Flask-MongoDB-K3s-KNative-TodoApp-
benjamintanweihao/h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
benjamintanweihao/hinny
benjamintanweihao/kafka-streams-in-action
Source code for the Kafka Streams in Action Book
benjamintanweihao/katib
Repository for hyperparameter tuning
benjamintanweihao/kfserving
Serverless Inferencing on Kubernetes
benjamintanweihao/kubeflow
Machine Learning Toolkit for Kubernetes
benjamintanweihao/kustomize
Customization of kubernetes YAML configurations
benjamintanweihao/langchain
⚡ Building applications with LLMs through composability ⚡
benjamintanweihao/learn-istio
⛵️ Istio resources 🕸
benjamintanweihao/pipelines
Machine Learning Pipelines for Kubeflow
benjamintanweihao/ToDo-List-using-Flask-and-MongoDB
Simple implementation of ToDo List using Flask and MongoDB along with Dockerfile and Kubernetes yaml files
benjamintanweihao/website
Kubeflow's public website
benjamintanweihao/website-1
User documentation for KServe.
benjamintanweihao/Yatai
Model Deployment at scale on Kubernetes 🦄️
benjamintanweihao/yatai-deployment
🚀 Launching Bento in a Kubernetes cluster