#ModelServing #Tools #Frameworks #CI #CD
Model serving tools:
https://www.kubeflow.org/
https://docs.bentoml.org/en/latest/
https://developer.nvidia.com/nvidia-triton-inference-server
https://mlflow.org/
https://www.cortex.dev/
Comparison https://www.datarevenue.com/en-blog/airflow-vs-luigi-vs-argo-vs-mlflow-vs-kubeflow
Model serving tools:
https://www.kubeflow.org/
https://docs.bentoml.org/en/latest/
https://developer.nvidia.com/nvidia-triton-inference-server
https://mlflow.org/
https://www.cortex.dev/
Comparison https://www.datarevenue.com/en-blog/airflow-vs-luigi-vs-argo-vs-mlflow-vs-kubeflow
Experiment management #ModelServing #Frameworks #CI #CD
https://losswise.com/
https://www.comet.ml/site
https://www.wandb.com/
https://www.mlflow.org/docs/latest/tracking.html#tracking
https://losswise.com/
https://www.comet.ml/site
https://www.wandb.com/
https://www.mlflow.org/docs/latest/tracking.html#tracking
Losswise
Losswise: Continuous Integration for Machine Learning
Turn your GPUs into monitored build servers from a git push with Losswise. Interactive visualization, logs, smart notifications, and more. Start free today.
Deep Learning pinned «#TOC — #Library — #Frameworks — #Tools — #ModelServing — #Paper — #CI #CD — #Models»
https://medium.com/swlh/fun-with-apache-lucene-and-bert-embeddings-c2c496baa559 #embeddings #searchengines #lucene
Medium
Fun With Apache Lucene and BERT Embeddings
After publishing the blog post on neural search with BERT and Solr (6.6.0), I got a few questions on how to run this with version 8.6.x of…