JINO-ROHIT / fastapi_with_celery_redisLinks
serving a torch model using Celery, Redis and RabbitMQ to serve users asynchronously
☆25Updated last year
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
Sorting:
- ☆18Updated last year
- Learn how to create reliable ML systems by testing code, data and models.☆89Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 11 months ago
- A repository that showcases how you can use ZenML with Git☆73Updated 4 months ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆92Updated 3 years ago
- Deep Learning Projects on TensorFlow and Keras☆20Updated last year
- Test LLMs automatically with Giskard and CI/CD☆31Updated last year
- zero-to-lightning☆31Updated last year
- Material for the series of seminars on Large Language Models☆34Updated last year
- Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson☆20Updated 2 years ago
- Create a local dashboard to visualize and filter your GitHub feed☆29Updated 3 years ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 3 years ago
- "1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data…☆51Updated last year
- meta_llama_2finetuned_text_generation_summarization☆21Updated 2 years ago
- Slides and notebook for the workshop on serving bert models in production☆25Updated 3 years ago
- Examples of using Evidently to evaluate, test and monitor ML models.☆43Updated 2 weeks ago
- A template to kick-start your Python project ✨🚀☆53Updated 4 months ago
- NLP/LLM Mlops Pipeline to dev/train/evaluation, scalable deploy and monitoring systems.☆22Updated last year
- This is code depository for my upcoming session. Will update details post the session☆40Updated 2 years ago
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last month
- ☆66Updated 7 months ago
- Fine-tune an LLM to perform batch inference and online serving.☆114Updated 6 months ago
- Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker☆105Updated 3 years ago
- Article about deploying machine learning models using grpc, pytorch and asyncio☆30Updated 3 years ago
- Collection of python scripts to demonstrate asynchronous programming in python☆11Updated 3 years ago
- Multimodal AI workloads: batch inference, model training and online serving.☆103Updated 3 months ago
- This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…☆27Updated 9 months ago
- Demo Computer Vision Project☆65Updated 2 years ago
- Production-Ready Applied Deep Learning☆92Updated last month
- 💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML☆139Updated 9 months ago