loglabs / mltrace-demoLinks
Python ML pipeline that showcases mltrace functionality.
โ28Updated 3 years ago
Alternatives and similar repositories for mltrace-demo
Users that are interested in mltrace-demo are comparing it to the libraries listed below
Sorting:
- ๐ Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projectsโ82Updated 3 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.โ209Updated 3 years ago
- Code accompanying the "Debugging machine learning in production" talkโ30Updated 3 years ago
- Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpointโ73Updated 4 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).โ96Updated 2 years ago
- ๐ Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.โ148Updated last year
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.โ37Updated 4 years ago
- Neural networks in pandasโ51Updated 3 years ago
- ๐งช Simple data science experimentation & tracking with jupyter, papermill, and mlflow.โ182Updated last year
- NLP Examples using the ๐ค librariesโ41Updated 4 years ago
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.โ116Updated last year
- The fast.ai data ethics courseโ17Updated 2 years ago
- โ30Updated 3 years ago
- An open-source AutoML Library based on PyTorchโ306Updated last month
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.โ89Updated 2 years ago
- Course for Interpreting ML Modelsโ52Updated 2 years ago
- SPEAR: Programmatically label and build training data quickly.โ108Updated last year
- Research repo for code that may or may not end up in fastai3โ50Updated 4 years ago
- A comprehensive reference for all topics related to building and maintaining microservicesโ67Updated 2 years ago
- Quick demo of setting up a deep learning Python environment using conda and pip-tools.โ39Updated 4 years ago
- Practical ideas on securing machine learning modelsโ36Updated 4 years ago
- A repository that showcases how you can use ZenML with Gitโ69Updated 2 weeks ago
- The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning woโฆโ171Updated 2 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projectsโ106Updated 2 years ago
- Build fast gradio demos of fastai learnersโ35Updated 3 years ago
- A few baselines with a standard tabular modelโ38Updated 5 years ago
- Code samples for the Effective Data Science Infrastructure bookโ115Updated 2 years ago
- This codebase is a starting point to get your Machine Learning project into Production.โ43Updated 4 years ago
- A collection of inference modules for fastai2โ90Updated 2 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API ๐โ53Updated 3 years ago