Raschka-research-group / coral-pytorch
CORAL and CORN implementations for ordinal regression with deep neural networks.
☆228Updated last year
Alternatives and similar repositories for coral-pytorch:
Users that are interested in coral-pytorch are comparing it to the libraries listed below
- Drift Detection for your PyTorch Models☆312Updated 2 years ago
- Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)☆80Updated 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
- Domain adaptation made easy. Fully featured, modular, and customizable.☆361Updated last year
- Loss function which directly targets ROC-AUC☆245Updated last year
- Ranger deep learning optimizer rewrite to use newest components☆325Updated 11 months ago
- Ordinal regression models in PyTorch☆142Updated 2 years ago
- Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"☆24Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆158Updated last year
- Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks☆168Updated 2 years ago
- Experiments on Tabular Data Models☆271Updated last year
- Provides everything needed for high performance data loading and augmentation in pytorch.☆317Updated last year
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆352Updated 5 months ago
- An active learning library for Pytorch based on Lightning-Fabric.☆79Updated 8 months ago
- Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.☆318Updated last year
- A Pytorch-Lightning implementation of self-supervised algorithms☆536Updated 2 years ago
- Metrics for model evaluation in pytorch☆110Updated 3 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆144Updated 2 years ago
- A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.☆97Updated last year
- TabNet for fastai☆123Updated 9 months ago
- Self-Supervised Learning in PyTorch☆132Updated 10 months ago
- ☆60Updated last year
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆81Updated last year
- ☆465Updated 4 months ago
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆484Updated 3 years ago
- ☆343Updated 3 years ago
- A library to inspect and extract intermediate layers of PyTorch models.☆470Updated 2 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆143Updated 2 years ago
- Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch☆250Updated 2 years ago
- PyTorch implementations of `BatchSampler` that under/over sample according to a chosen parameter alpha, in order to create a balanced tra…☆84Updated 5 years ago