Pinned Repositories
Analysing-Jokes-with-Natural-Language-Processing
Using a dataset of jokes, we will learn the concepts of natural language processing and start to train and evaluate different models
demo-scripts
Seldon Demo Scripts (using Demo Magic)
event-registration
simple event-registration page
food-classification
Food classification for images of restaurant dishes
kubecon-talk
End to End example integrating MLFlow and Seldon Core
mlops-radar
MLServer
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
mlserver-example
An example showing how to use multi model serving with MLServer
rtd-test
seldon-core
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
edshee's Repositories
edshee/event-registration
simple event-registration page
edshee/mlserver-example
An example showing how to use multi model serving with MLServer
edshee/Analysing-Jokes-with-Natural-Language-Processing
Using a dataset of jokes, we will learn the concepts of natural language processing and start to train and evaluate different models
edshee/demo-scripts
Seldon Demo Scripts (using Demo Magic)
edshee/food-classification
Food classification for images of restaurant dishes
edshee/kubecon-talk
End to End example integrating MLFlow and Seldon Core
edshee/mlops-radar
edshee/MLServer
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
edshee/rtd-test
edshee/seldon-core
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
edshee/text-generation-demo
A demo showing different methods of natural language generation in Seldon Deploy
edshee/v1-v2
edshee/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
edshee/zenml
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.