Alternatives and similar repositories for fastapi_with_celery_redis:

Users that are interested in fastapi_with_celery_redis are comparing it to the libraries listed below

• neural-maze / locust_example
  Running load tests on a FastAPI application using Locust
  ☆12Updated 3 months ago
• vaibhavsatpathy / psAI-clOps
  End to End MLOps
  ☆10Updated 4 years ago
• sayakpaul / deploy-hf-tf-vision-models
  This repository shows various ways of deploying a vision model (TensorFlow) from 🤗 Transformers.
  ☆29Updated 2 years ago
• kylegallatin / recsim
  A framework for simulating e-commerce data and interactions that can be used to build recommendation systems
  ☆10Updated last year
• ashishpatel26 / MLOps-Engineering-in-Action
  Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson
  ☆20Updated last year
• srivatsan88 / sector
  ☆17Updated 2 months ago
• Logisx / AI-Senior
  🤖 AI Assistant fine-tuned to provide support for coding and design questions based on the latest trends in the industry.
  ☆16Updated last year
• Paulescu / testing-llms-in-the-real-world
  Test LLMs automatically with Giskard and CI/CD
  ☆29Updated 6 months ago
• mrmaheshrajput / productionizing-llms
  Code Repository for Blog - How to Productionize Large Language Models (LLMs)
  ☆11Updated 10 months ago
• bishwarup307 / async-ml-medium
  Collection of python scripts to demonstrate asynchronous programming in python
  ☆11Updated 2 years ago
• vakyansh / gemma-experimentation
  Experimentation on google's gemma model
  ☆16Updated 11 months ago
• rafiqhasan / AI_DL_ML_Repo
  Deep Learning Projects on TensorFlow and Keras
  ☆20Updated 8 months ago
• aryan-jadon / Evaluation-Metrics-for-Recommendation-Systems
  This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…
  ☆16Updated last year
• mlops-labs-team1 / engineering.labs
  The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info
  ☆16Updated 3 years ago
• infocusp / llm_seminar_series
  Material for the series of seminars on Large Language Models
  ☆32Updated 9 months ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last month
• aniketmaurya / agents
  Build Agentic workflows with function calling using open LLMs
  ☆26Updated last week
• ishandutta0098 / zero-to-lightning
  zero-to-lightning
  ☆29Updated 9 months ago
• deep-diver / TFX-WandB
  ☆14Updated last year
• npatta01 / pytorch-serving-workshop
  Slides and notebook for the workshop on serving bert models in production
  ☆25Updated 2 years ago
• wjbmattingly / youtube-florence-table
  Table detection with Florence.
  ☆13Updated 7 months ago
• evidentlyai / community-examples
  Examples of using Evidently to evaluate, test and monitor ML models.
  ☆19Updated this week
• VishalKumar-S / Sales_Conversion_Optimization_MLOps_Project
  Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, d…
  ☆17Updated 11 months ago
• ngtranminhtuan / LLMOPS
  NLP/LLM Mlops Pipeline to dev/train/evaluation, scalable deploy and monitoring systems.
  ☆19Updated 11 months ago
• roboflow / deploy-models-with-grpc-pytorch-asyncio
  Article about deploying machine learning models using grpc, pytorch and asyncio
  ☆27Updated 2 years ago
• ayoub-berdeddouch / mlbookcamp-homeworks
  Homeworks, Midterm, & Capstone from ML BookCamp
  ☆15Updated 3 years ago
• npogeant / flight-delay
  A Machine Learning Pipeline built with MLflow, Prefect, BentoML, Streamlit and Evidently.
  ☆26Updated 2 years ago
• PacktPublishing / Machine-Learning-Model-Serving-Patterns-and-Best-Practices
  Machine Learning Model Serving Patterns and Best Practices
  ☆35Updated last year
• CVxTz / llm-serve-tutorial
  ☆20Updated 10 months ago