TorchEnsemble-Community / Ensemble-PytorchLinks
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
☆1,033Updated last year
Alternatives and similar repositories for Ensemble-Pytorch
Users that are interested in Ensemble-Pytorch are comparing it to the libraries listed below
Sorting:
- [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression☆880Updated 3 years ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆967Updated last year
- Research on Tabular Deep Learning: Papers & Packages☆1,014Updated 8 months ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆363Updated 11 months ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆628Updated 2 years ago
- Loss function which directly targets ROC-AUC☆247Updated 2 years ago
- Awesome Domain Adaptation Python Toolbox☆342Updated 8 months ago
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆371Updated 3 months ago
- [ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for …☆1,351Updated last year
- Bayesian active learning library for research and industrial usecases.☆900Updated 3 weeks ago
- Deep Active Learning☆837Updated 2 years ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆437Updated 3 years ago
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆966Updated 2 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆478Updated last year
- Pytorch Lightning code guideline for conferences☆1,273Updated last year
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,517Updated last month
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆272Updated 8 months ago
- Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab☆2,634Updated 3 weeks ago
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆948Updated 4 months ago
- Domain adaptation made easy. Fully featured, modular, and customizable.☆379Updated 2 years ago
- 🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库☆374Updated 2 months ago
- A simple way to calibrate your neural network.☆1,154Updated 3 years ago
- A learning rate range test implementation in PyTorch☆971Updated 3 weeks ago
- PyTorch implementation of bayesian neural network [torchbnn]☆536Updated 11 months ago
- A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results☆456Updated 3 years ago
- A Survey☆564Updated 2 years ago
- LibAUC: A Deep Learning Library for X-Risk Optimization☆306Updated 10 months ago
- ☆483Updated 10 months ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆484Updated 3 years ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆194Updated 5 months ago