model-deployment
There are 335 repositories under model-deployment topic.
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
microsoft/SynapseML
Simple and Distributed Machine Learning
FedML-AI/FedML
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
truefoundry/cognita
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
ShannonAI/service-streamer
Boosting your Web Services of Deep Learning Applications.
bentoml/Yatai
Model Deployment at Scale on Kubernetes 🦄️
nndeploy/nndeploy
nndeploy是一款模型端到端部署框架。以多端推理以及基于有向无环图模型部署为基础，致力为用户提供跨平台、简单易用、高性能的模型部署体验。
underneathall/pinferencia
Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
featurestoreorg/serverless-ml-course
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
aniketmaurya/chitra
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
render-examples/fastai-v3
Starter app for fastai v3 model deployment on Render
Michael-OvO/Yolov7-Flask
A Beautiful Flask Web API for Yolov7 (and custom) models
bentoml/bentoctl
Fast model deployment on any cloud 🚀
raptor-ml/raptor
Transform your pythonic research to an artifact that engineers can deploy easily.
jim-schwoebel/allie
🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.
bentoml/gallery
BentoML Example Projects 🎨
alvarobartt/serving-pytorch-models
Serving PyTorch models with TorchServe :fire:
notAI-tech/fastDeploy
Deploy DL/ ML inference pipelines with minimal extra code.
Project-MONAI/monai-deploy-app-sdk
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
NimbleBoxAI/nbox
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
Abhijit-2592/model-server
gRPC server for hosting ML models trained on any framework in python
openvinotoolkit/geti-sdk
Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.
balavenkatesh3322/model_deployment
A collection of model deployment library and technique.
ForestFlow/ForestFlow
ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.
elliebirbeck/model-deployment-flask
'Deploying machine learning models with a Flask API' tutorial, written for HyperionDev
RubixML/Server
A standalone inference server for trained Rubix ML estimators.
honghanhh/coursera-practical-data-science-specialization
Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)
wangxb96/Awesome-EdgeAI
Resources of our survey paper "A Comprehensive Survey on AI Integration at the Edge: Techniques, Applications, and Challenges"
bentoml/OCR-as-a-Service
Turn any OCR models into online inference API endpoint 🚀 🌖
alvarobartt/serving-tensorflow-models
Serving TensorFlow models with TensorFlow Serving :orange_book:
bentoml/transformers-nlp-service
Online Inference API for NLP Transformer models - summarization, text classification, sentiment analysis and more
JasonSloan/learning-notebook
深度学习, especially CV
data-umbrella/event-transcripts
transcripts from our recorded events
prabhuomkar/bitbeast
Experiments with Model Training, Deployment & Monitoring
SannketNikam/Emotion-Detection-in-Text
This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it.
nawaz-kmr/Data_Extraction_and_Text_Analysis_for_Blackcoffer_company.
The objective of this assignment is to extract textual data articles from the given URL and perform text analysis to compute variables that are explained