Alternatives and similar repositories for async-ml-medium

Users that are interested in async-ml-medium are comparing it to the libraries listed below

• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 3 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 11 months ago
• khuyentran1401 / analyze_github_feed
  Create a local dashboard to visualize and filter your GitHub feed
  ☆29Updated 3 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆89Updated 3 years ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆104Updated 2 years ago
• elleobrien / automatic_testing
  ☆21Updated 2 years ago
• npatta01 / pytorch-serving-workshop
  Slides and notebook for the workshop on serving bert models in production
  ☆25Updated 3 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆92Updated 3 years ago
• numfocus / YouTubeVideoTimestamps
  Adding timestamps to NumFOCUS and PyData YouTube videos!
  ☆104Updated 3 years ago
• thejat / mlops-notebooks
  ☆66Updated 7 months ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆73Updated 4 months ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• christy / AnyscaleDemos
  ☆23Updated 2 years ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 10 months ago
• daddydrac / Deep-Learning-Ultra
  Open source Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in PyTorch, OpenCV (compiled for G…
  ☆88Updated 2 years ago
• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆121Updated last year
• sayakpaul / CI-CD-for-Model-Training
  This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.
  ☆21Updated 4 years ago
• srivatsan88 / sector
  ☆18Updated last year
• noahgift / or
  Operations Research Algorithms
  ☆19Updated last year
• JINO-ROHIT / fastapi_with_celery_redis
  serving a torch model using Celery, Redis and RabbitMQ to serve users asynchronously
  ☆25Updated last year
• dm4ml / motion
  Framework for building and maintaining self-updating prompts for LLMs
  ☆65Updated last year
• memgraph / memgraph-academy
  ☆32Updated 3 years ago
• Paulescu / testing-llms-in-the-real-world
  Test LLMs automatically with Giskard and CI/CD
  ☆31Updated last year
• AI-Maker-Space / Chainlit-Event-AIM
  A Chainlit App Used to Showcase: Async, Caching, Additional Chainlit Methods, and more!
  ☆11Updated last year
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• infocusp / llm_seminar_series
  Material for the series of seminars on Large Language Models
  ☆34Updated last year
• ben-arnao / StoRM
  A neural network hyper parameter tuner
  ☆30Updated last year
• iterative / workshop-uncool-mlops
  Accompanies the uncool MLOps workshop
  ☆26Updated 3 years ago