Alternatives and similar repositories for metaflow-transformers-tutorials

Users that are interested in metaflow-transformers-tutorials are comparing it to the libraries listed below

• jacopotagliabue / FREE_7773
  Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).
  ☆97Updated 3 years ago
• backpropagation64 / mle-interview-questions
  Interview Questions and Answers for Machine Learning Engineer role
  ☆116Updated 7 months ago
• DanielhCarranza / ml-production-template
  This codebase is a starting point to get your Machine Learning project into Production.
  ☆43Updated 5 years ago
• shaz13 / katana
  Katana project is a FastAPI template for ASAP 🚀 ML API deployment
  ☆113Updated last year
• charlesfrye / panndas
  Neural networks in pandas
  ☆51Updated 3 years ago
• abhishekkrthakur / ml_dev_env
  Machine Learning / Deep Learning Environment. Everywhere. Anywhere.
  ☆51Updated 5 years ago
• bespoke-inc / bespoke-public-talks
  Code samples and other materials for presentations by Bespoke tech team members
  ☆82Updated 3 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• fastai / fastai3
  Research repo for code that may or may not end up in fastai3
  ☆50Updated 4 years ago
• SohamPathak / modellogger.github.io
  Model-Logger is a Python library for storing model's profile and rapid inter model comparison.
  ☆61Updated 3 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆95Updated 3 years ago
• dimitreOliveira / bert-as-a-service_TFX
  End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.
  ☆43Updated 2 years ago
• januverma / transformers-stuff
  Codes, scripts, and notebooks on various aspects of transformer models.
  ☆27Updated 2 years ago
• alvarobartt / serving-pytorch-models
  Serving PyTorch models with TorchServe
  ☆103Updated 2 years ago
• amitness / fns
  Collection of simple functions reusable across ML projects.
  ☆20Updated 4 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• bhavsarpratik / serverless-transformers-on-aws-lambda
  Deploy transformers serverless on AWS Lambda
  ☆122Updated 4 years ago
• okanlv / fsdl-full-stack-stable-diffusion-2022
  ☆16Updated 3 years ago
• mlcontests / mlcontests.github.io
  A list of public machine learning/data science/AI contests.
  ☆205Updated this week
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆91Updated 3 years ago
• alvarobartt / serving-tensorflow-models
  Serving TensorFlow models with TensorFlow Serving
  ☆43Updated 3 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆17Updated 2 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last year
• aniketmaurya / chitra
  A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
  ☆231Updated last week
• karndeb / Arxiv-Neural-Search
  Neural Search System on Arxiv AI/ML Papers
  ☆54Updated 4 years ago
• ivan-bilan / The-Microservices-Pandect
  A comprehensive reference for all topics related to building and maintaining microservices
  ☆67Updated 3 years ago
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆57Updated 3 years ago
• cceyda / torchserve-dashboard
  Management Dashboard for Torchserve
  ☆125Updated 2 years ago