ml-jku / hopularLinks
Hopular: Modern Hopfield Networks for Tabular Data
☆313Updated 3 years ago
Alternatives and similar repositories for hopular
Users that are interested in hopular are comparing it to the libraries listed below
Sorting:
- Drift Detection for your PyTorch Models☆324Updated 3 years ago
- ☆203Updated 3 months ago
- Lightweight Hyperparameter Optimization 🚂☆149Updated last year
- An open-source AutoML Library based on PyTorch☆309Updated 3 weeks ago
- FasterAI: Prune and Distill your models with FastAI and PyTorch☆252Updated 2 weeks ago
- The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX☆423Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- Boosted neural network for tabular data☆217Updated last year
- Parallel Hyperparameter Tuning in Python☆417Updated 11 months ago
- An alternative to convolution in neural networks☆259Updated last year
- Implementation of ETSformer, state of the art time-series Transformer, in Pytorch☆156Updated 2 years ago
- Check if you have training samples in your test set☆64Updated 3 years ago
- PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.☆85Updated 2 years ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆460Updated 4 years ago
- CORAL and CORN implementations for ordinal regression with deep neural networks.☆266Updated 4 months ago
- Experiments on Tabular Data Models☆281Updated 2 years ago
- Distributed skorch on Ray Train☆58Updated 3 years ago
- A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.☆101Updated 2 years ago
- Functional deep learning☆108Updated 3 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆92Updated 2 years ago
- Convert scikit-learn models to PyTorch modules☆168Updated last year
- Cyclemoid implementation for PyTorch☆90Updated 3 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- Train Gradient Boosting models that are both high-performance *and* Fair!☆106Updated last month
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆368Updated last week
- Batch shap calculations.☆31Updated 3 years ago
- The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends☆77Updated last year
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆42Updated 2 years ago
- Kaggle Pipeline for tabular data competitions☆205Updated last year
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆737Updated last week