somaonishi / MTR
The official implementation of the paper "Rethinking Data Augmentation for Tabular Data in Deep Learning"
☆14Updated last year
Alternatives and similar repositories for MTR:
Users that are interested in MTR are comparing it to the libraries listed below
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆231Updated 2 months ago
- Experiments on Tabular Data Models☆271Updated last year
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆169Updated last month
- ☆134Updated 9 months ago
- ☆49Updated 2 years ago
- (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles☆88Updated 4 months ago
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆330Updated last month
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆143Updated 2 years ago
- A repo for transfer learning with deep tabular models☆100Updated last year
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆150Updated 4 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
- A list of (post-hoc) XAI for time series☆100Updated 4 months ago
- Repository for the feature selection with tabular models☆62Updated last year
- [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model"…☆120Updated last month
- This repository contains the source code for time series regression.☆97Updated last year
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆75Updated 10 months ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆81Updated last year
- ☆21Updated 9 months ago
- [official] PyTorch implementation of TimeVQVAE-AD, a time series anomaly detection model.☆62Updated 5 months ago
- The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.☆54Updated 7 months ago
- A framework for prototyping and benchmarking imputation methods☆170Updated last year
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆221Updated last year
- [SDM 2022] Towards Similarity-Aware Time-Series Classification☆73Updated last year
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…☆101Updated last year
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆63Updated 2 years ago
- TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling☆154Updated 2 months ago
- TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆61Updated 2 months ago
- ☆465Updated 4 months ago
- GluonTS - Probabilistic Time Series Modeling in Python☆15Updated 2 years ago
- A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.☆97Updated last year