sibyl-dev / pyreal
An easier approach to using and understanding ML models
☆20Updated 3 months ago
Alternatives and similar repositories for pyreal:
Users that are interested in pyreal are comparing it to the libraries listed below
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆39Updated 9 months ago
- RATransformers 🐭- Make your transformer (like BERT, RoBERTa, GPT-2 and T5) Relation Aware!☆41Updated 2 years ago
- ☆35Updated 3 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition☆31Updated 3 years ago
- Pipeline components that support partial_fit.☆45Updated 6 months ago
- Scripts for paper "Encoding high-cardinality string categorical variables"☆24Updated 5 years ago
- ☆18Updated 2 years ago
- Pre-train Static Word Embeddings☆42Updated this week
- Ranking of fine-tuned HF models as base models.☆35Updated last year
- ☆30Updated 3 years ago
- A Natural Language Interface to Explainable Boosting Machines☆63Updated 6 months ago
- Learning clinical-decision rules with interpretable models.☆20Updated last year
- code for the paper "Cluster & Tune: Boost Cold Start Performance in Text Classification" for ACL2022☆28Updated 2 years ago
- Finding semantically meaningful and accurate prompts.☆46Updated last year
- Vectorizers for a range of different data types☆99Updated 2 months ago
- this repo might get accepted☆29Updated 3 years ago
- Python package for deduplication/entity resolution using active learning☆78Updated 5 months ago
- Source code and data for Like a Good Nearest Neighbor☆28Updated 2 weeks ago
- ☆21Updated last year
- Feature engineering tool to efficiently create effective, arbitrarily complex arithmetic combinations of numeric features☆10Updated 3 months ago
- Starbucks: Improved Training for 2D Matryoshka Embeddings☆17Updated 3 months ago
- scikit-learn gradient-boosting-model interactions☆25Updated last year
- LEMON: Explainable Entity Matching☆18Updated 2 years ago
- Train Gradient Boosting models that are both high-performance *and* Fair!☆102Updated 7 months ago
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 3 years ago
- ☆20Updated last year
- A set of methods for finding an appropriate number of topics in a text collection☆15Updated 5 months ago
- Clustering for mixed-type data☆97Updated 6 months ago
- ☆21Updated 3 years ago