iridiumblue / roc-star
Loss function which directly targets ROC-AUC
☆246Updated 2 years ago
Alternatives and similar repositories for roc-star:
Users that are interested in roc-star are comparing it to the libraries listed below
- Experimenting with different regression losses. Implemented in Pytorch.☆147Updated 6 years ago
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆486Updated 4 years ago
- CORAL and CORN implementations for ordinal regression with deep neural networks.☆233Updated last year
- Over9000 optimizer☆426Updated 2 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆214Updated 4 years ago
- Ranger deep learning optimizer rewrite to use newest components☆329Updated last year
- ☆202Updated 3 years ago
- ☆347Updated 4 years ago
- DANets (a family of neural networks) for tabular data classification/ regression.☆42Updated 3 years ago
- Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.☆118Updated 3 years ago
- Scikit-learn compatible implementation of the Gauss Rank scaling method☆73Updated last year
- A Tensorflow 2.0 implementation of TabNet.☆242Updated 2 years ago
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆356Updated 2 weeks ago
- ☆167Updated 4 years ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Updated last year
- Research on Tabular Deep Learning: Papers & Packages☆977Updated 5 months ago
- 🎲 Iterable dataset resampling in PyTorch☆91Updated 3 years ago
- Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks☆168Updated 2 years ago
- Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers☆168Updated 3 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆345Updated last year
- Tiny PyTorch library for maintaining a moving average of a collection of parameters.☆428Updated 7 months ago
- Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"☆62Updated 2 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆321Updated last year
- Liverpool Ion Switching kaggle competition 2nd place winning solution☆16Updated 2 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆295Updated last year
- Tool box for PyTorch☆188Updated 3 weeks ago
- Learning Rate Warmup in PyTorch☆410Updated last month
- Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.☆167Updated last month
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆135Updated 4 years ago
- A pytorch dataset sampler for always sampling balanced batches.☆114Updated 4 years ago