Yura52 / delu
Deep Learning Utilities for PyTorch users (old name: Zero)
☆35Updated 2 months ago
Alternatives and similar repositories for delu:
Users that are interested in delu are comparing it to the libraries listed below
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆330Updated last month
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆63Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆81Updated last year
- ☆197Updated 3 years ago
- TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆61Updated 2 months ago
- Convert scikit-learn models to PyTorch modules☆159Updated 8 months ago
- ☆134Updated 9 months ago
- A repo for transfer learning with deep tabular models☆100Updated last year
- ☆42Updated 5 months ago
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆484Updated 3 years ago
- TabDPT: Scaling Tabular Foundation Models☆21Updated this week
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆145Updated 5 months ago
- Batch shap calculations.☆31Updated 2 years ago
- Easy Custom Losses for Tree Boosters using Pytorch☆31Updated 3 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆102Updated 9 months ago
- Noise-Contrastive Visualization☆55Updated last year
- The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"☆276Updated 2 months ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆411Updated 3 years ago
- Tabular In-Context Learning☆38Updated last month
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆143Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 8 months ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆115Updated 3 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆77Updated 10 months ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 2 years ago
- ☆26Updated 5 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆75Updated last year
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 4 years ago
- Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!☆51Updated 5 years ago
- A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.☆97Updated last year