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Management Dashboard for Torchserve
Serving PyTorch models with TorchServe :fire:
Torchserve server using a YoloV5 model running on docker with GPU and static batch inference to perform production ready and real time inference.
Deploy DL/ ML inference pipelines with minimal extra code.
Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint
A minimalistic and pluggable machine learning platform for Kubernetes.
Deploy Swin Transformer using TorchServe
Slides and notebook for the workshop on serving bert models in production
Pushing Text To Speech models into production using torchserve, kubernetes and react web app :smile:
FastAPI middleware for comparing different ML model serving approaches
How to deploy TorchServe on an Amazon EKS cluster for inference.
Twin Neural Network Training with PyTorch and fast.ai and its Deployment with TorchServe on Amazon SageMaker
Deploy FastAI Trained PyTorch Model in TorchServe and Host in GCP's AI-Platform Prediciton.
Project to implement, test and evaluate different methods to deploy machine learning models for production.
Quick and easy tutorial to serve HuggingFace sentiment analysis model using torchserve
Predicting musical valence of Spotify songs using PyTorch.
DET is an end-to-end tool for extracting Key-Value pairs from a variety of documents, built entirely on PyTorch and served using TorchServe.
This repo implements a minimalistic pytorch_lightning + neptune + torchserve flow for (computer vision) model training and deployment
Multi video offline streaming and Yolov8 object detection with Kafka, torch serve, AWS EC2
Serving BERT embeddings via Torchserve
Simple example of using TorchServe to serve a PyTorch Object Detection model
Deploy App for MNIST Classification using TorchServe and Flask
Tutorial on how to run MNIST using Torch-Serve
ML Lifecycle project
🥏 My source code for MSRA-USTC Joint Innovation Project 2021 Track AI System: Deploying deep learning model on Docker to prepare for large-scale inference.
Blight detection in tomato 🍅 using convolutional neural networks
How to deploy the deefake detection model using torchserve
MNIST inference using torchserve, flask and docker
Template to serve, optimize and scale 🤗 pipeline in production with Torchserve & Docker
This repo contains a deployment of a super-resolution network in pytorch-lightning.
A logical, reasonably standardized, but flexible framework for training, evaluating, monitoring and deploying PyTorch models.
🚀 TorchServe playground includes step by step Kubernetes installation and inference stress tests using JMeter (most models from HuggingFace)
Simple NER Pipeline Using KoCharELECTRA
End to End MLOps Pipeline with CI/CD, AWS EC2 and Pytorch serve Series