the-full-stack / conda-piptools
Quick demo of setting up a deep learning Python environment using conda and pip-tools.
☆38Updated 4 years ago
Alternatives and similar repositories for conda-piptools:
Users that are interested in conda-piptools are comparing it to the libraries listed below
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- GitHub Action That Retrieves Model Runs From Weights & Biases☆60Updated 3 years ago
- The fast.ai data ethics course☆16Updated 2 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆86Updated 2 years ago
- Code accompanying the "Debugging machine learning in production" talk☆29Updated 3 years ago
- Metaflow tutorials for ODSC West 2021☆64Updated 3 years ago
- Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.☆30Updated 3 years ago
- The fastai book, 2nd edition (in progress)☆52Updated 10 months ago
- Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs☆80Updated last year
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆146Updated last year
- Research repo for code that may or may not end up in fastai3☆50Updated 3 years ago
- ☆27Updated 2 years ago
- Stuff I find (see issues)☆39Updated 4 years ago
- Interview Questions and Answers for Machine Learning Engineer role☆119Updated 2 years ago
- A proof of concept library for generating and running machine learning model tests☆13Updated 4 years ago
- Professional visualizations of COVID-19, emulating NYT, The Guardian, Washington Post, The Economist & others, using only Python & Altair…☆23Updated 2 years ago
- ☆20Updated 2 years ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated last year
- ☆43Updated 2 years ago
- A repository that showcases how you can use ZenML with Git☆69Updated 9 months ago
- ☆17Updated last year
- An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.☆30Updated 2 years ago
- ☆16Updated last year
- Kaggling for fast kagglers!☆52Updated last year
- A collection of machine learning model cards and datasheets.☆75Updated 10 months ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆263Updated 2 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆208Updated 3 years ago
- Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint☆73Updated 3 years ago