AMDonati / ODSC2019-DL-models-NLPLinks
materials for my workshop "Latest Deep Learning Models for NLP" @ the European Open Data Science Conference 2019
☆11Updated 6 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:
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated last year
- Data Analysis Baseline Library☆133Updated last year
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 4 years ago
- Practical active learning in python☆191Updated 3 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆99Updated last year
- Repo for the ML_Insights python package☆153Updated 9 months ago
- 🧬 A JupyterLab extension for annotating data with Prodigy☆189Updated 2 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
- Practical ideas on securing machine learning models☆37Updated 4 years ago
- Bag of, not words, but tricks!☆68Updated 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.☆104Updated 2 weeks ago
- this repo might get accepted☆28Updated 5 years ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆164Updated 5 years ago
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆164Updated 7 months ago
- fastai V2 implementation of Timeseries classification papers.☆242Updated 3 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆86Updated 2 years ago
- TabNet for fastai☆124Updated 4 months ago
- 🐦 Quickly annotate data from the comfort of your Jupyter notebook☆281Updated 2 years ago
- ☆44Updated 3 years ago
- Materials for the Neural Network tutorial at PyData NYC 2019☆15Updated 2 years ago
- General Interpretability Package☆58Updated 3 years ago
- An easy to use waterfall chart function for Python☆164Updated 5 years ago
- Lightweight, Python library for fast and reproducible experimentation☆136Updated 7 years ago
- The ntentional blog - a machine learning journey☆23Updated 3 years ago
- Doubt your data, find bad labels.☆516Updated last year
- Applied Machine Learning with Python☆80Updated last year
- a python grammar for evolutionary algorithms and heuristics☆192Updated 3 years ago
- 🍦 Deployment tool for online machine learning models☆98Updated 3 years ago
- ☄️ Parallel and distributed training with spaCy and Ray☆56Updated 2 years ago