MI2DataLab / WildNLP
☆76Updated last year
Alternatives and similar repositories for WildNLP:
Users that are interested in WildNLP are comparing it to the libraries listed below
- Materiały z seminariów prowadzonych w MI^2 DataLabie.☆32Updated last week
- Flexible tool for bias detection, visualization, and mitigation☆87Updated 2 months ago
- Strona przedmiotu Techniki Wizualizacji Danych na wydziale MiNI PW☆7Updated last year
- Monitoring of AI Regulations☆19Updated 3 years ago
- ☆31Updated 3 months ago
- Python implementation of R package breakDown☆42Updated last year
- Notebooks configured to be run with Binder, usually found on my blog.☆42Updated 2 years ago
- ☆54Updated 3 years ago
- Training Temporal Word Embeddings with a Compass☆64Updated 2 years ago
- Find text features that are most related to an outcome, controlling for confounds.☆60Updated 9 months ago
- Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"☆46Updated last year
- TopicScan: Visualization and validation interface for NMF Topic Modeling☆23Updated 4 years ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆84Updated last year
- A set of tools for topical text classification and scaling☆20Updated 2 years ago
- Package for computing causal effects of text (as treatment)☆70Updated 2 years ago
- ☆104Updated 6 years ago
- ☆53Updated 5 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- ☆50Updated 2 years ago
- ☆39Updated 3 years ago
- Lecture notes for 'Interpretable Machine Learning' at WUT and UoW. Summer semester 2019/2020☆28Updated 4 years ago
- Code and data for the WSDM '19 paper "Crosslingual Document Embedding as Reduced-Rank Ridge Regression (Cr5)"☆30Updated 5 years ago
- A rolling version of the Latent Dirichlet Allocation.☆12Updated last year
- A tool for Semantic Scaling of Political Text (branch of Topfish, a suite of tools for Political Text Analysis)☆27Updated last year
- Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"☆199Updated 4 years ago
- ☆75Updated 3 years ago
- Code and data for "Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words"☆16Updated 3 years ago
- Create interactive textual heat maps for Jupiter notebooks☆196Updated 10 months ago
- python tools to check recourse in linear classification☆76Updated 4 years ago
- Polish BERT☆70Updated 4 years ago