AMDonati / ODSC2019-DL-models-NLPLinks
materials for my workshop "Latest Deep Learning Models for NLP" @ the European Open Data Science Conference 2019
☆10Updated 5 years ago
Alternatives and similar repositories for ODSC2019-DL-models-NLP
Users that are interested in ODSC2019-DL-models-NLP are comparing it to the libraries listed below
Sorting:
- Python implementation of R package breakDown☆43Updated last year
- Repo for the ML_Insights python package☆152Updated 2 months ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 10 months ago
- Notebooks configured to be run with Binder, usually found on my blog.☆42Updated 2 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆97Updated 9 months ago
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 3 years ago
- Practical ideas on securing machine learning models☆36Updated 4 years ago
- this repo might get accepted☆28Updated 4 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 3 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- 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
- Clinical NLP workshop for ODSC☆39Updated 5 years ago
- Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)☆37Updated 5 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- ☆30Updated 4 years ago
- Deploy a scikit model using heroku and Flask☆15Updated 2 years ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 5 years ago
- WIP predicted survival functions☆37Updated 5 years ago
- scikit-learn gradient-boosting-model interactions☆25Updated 2 years ago
- Materials for the Neural Network tutorial at PyData NYC 2019☆15Updated 2 years ago
- Public home of pycorels, the python binding to CORELS☆80Updated 5 years ago
- Code accompanying the "Debugging machine learning in production" talk☆29Updated 3 years ago
- Weak supervision methods for extracting real world evidence from EHRs☆34Updated 5 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- Python library for Ceteris Paribus Plots (What-if plots)☆24Updated 4 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- Paper and talk from KDD 2019 XAI Workshop☆20Updated 5 years ago
- General Interpretability Package☆58Updated 2 years ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆71Updated 3 years ago