dimtr / PyDataEHV_workshop
☆10Updated 5 years ago
Alternatives and similar repositories for PyDataEHV_workshop:
Users that are interested in PyDataEHV_workshop are comparing it to the libraries listed below
- Tutorial for a new versioning Machine Learning pipeline☆81Updated 3 years ago
- Katana project is a FastAPI template for ASAP 🚀 ML API deployment☆111Updated last year
- This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Be…☆39Updated last year
- fastai V2 implementation of Timeseries classification papers.☆241Updated 2 years ago
- Guide on creating an API for serving your ML model☆65Updated 2 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 6 years ago
- A list of extensions for the fastai library.☆160Updated 4 years ago
- Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019☆82Updated 5 years ago
- Managing machine learning life-cycle with MLflow tutorial☆23Updated last year
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆67Updated last year
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- General Interpretability Package☆58Updated 2 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 6 months ago
- Real data science interview assignments☆94Updated 4 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆145Updated 10 months ago
- Machine Learning begins with Human Learning☆108Updated 3 years ago
- Jupyter notebooks of fastai v3 part 2 with links to Youtube video of corresponding lesson☆16Updated 5 years ago
- 🍦 Deployment tool for online machine learning models☆97Updated 2 years ago
- Embed categorical variables via neural networks.☆59Updated last year
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆102Updated 3 years ago
- ML model serving app based on APIs☆71Updated 3 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆179Updated 7 months ago
- A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data…☆242Updated 9 months ago
- Material for my run of Fast.AI☆53Updated 4 years ago
- Codes used for the hack session in DHS 2019☆53Updated 5 years ago
- The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and produc…☆128Updated 4 years ago
- ☆38Updated 5 years ago
- fastai tabular and text combination model☆29Updated 5 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆260Updated 2 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated last year