Geoweavera web system to allow users to automatically record history and manage complicated scientific workflows in web browsers involving the online spatial data facilities, high-performance computation platforms, and open-source libraries.
Stars: ✭ 32 (+68.42%)
MERlinMERlin is an extensible analysis pipeline applied to decoding MERFISH data
Stars: ✭ 19 (+0%)
datajoint-pythonRelational data pipelines for the science lab
Stars: ✭ 140 (+636.84%)
galleryBentoML Example Projects 🎨
Stars: ✭ 120 (+531.58%)
mediapipe plusThe purpose of this project is to apply mediapipe to more AI chips.
Stars: ✭ 38 (+100%)
chitraA multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Stars: ✭ 210 (+1005.26%)
MegFlowEfficient ML solution for long-tailed demands.
Stars: ✭ 372 (+1857.89%)
ventVent is a light-weight platform built to automate network collection and analysis pipelines using a flexible set of popular open source tools and technologies. Vent is python-based, extensible, leverages docker containers, and provides both an API and CLI.
Stars: ✭ 73 (+284.21%)
fdp-modelserverAn umbrella project for multiple implementations of model serving
Stars: ✭ 47 (+147.37%)
MediapipeCross-platform, customizable ML solutions for live and streaming media.
Stars: ✭ 15,338 (+80626.32%)
alphasqlAlphaSQL provides Integrated Type and Schema Check and Parallelization for SQL file set mainly for BigQuery
Stars: ✭ 35 (+84.21%)
richflowA Node.js and JavaScript synchronous data pipeline processing, data sharing and stream processing library. Actionable & Transformable Pipeline data processing.
Stars: ✭ 17 (-10.53%)
effepiFun functional programming with pipelinable functions
Stars: ✭ 13 (-31.58%)
lightflowA lightweight, distributed workflow system
Stars: ✭ 67 (+252.63%)
pipenpipen - A pipeline framework for python
Stars: ✭ 82 (+331.58%)
BentomlModel Serving Made Easy
Stars: ✭ 3,064 (+16026.32%)
Deep Learning In ProductionIn this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Stars: ✭ 3,104 (+16236.84%)
FATE-ServingA scalable, high-performance serving system for federated learning models
Stars: ✭ 107 (+463.16%)
kserveServerless Inferencing on Kubernetes
Stars: ✭ 1,621 (+8431.58%)