TorchEnsemble-Community / Ensemble-Pytorch
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
☆1,012Updated 8 months ago
Alternatives and similar repositories for Ensemble-Pytorch:
Users that are interested in Ensemble-Pytorch are comparing it to the libraries listed below
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆865Updated last month
- A curated (most recent) list of resources for Learning with Noisy Labels☆664Updated 4 months ago
- Research on Tabular Deep Learning: Papers & Packages☆945Updated 3 months ago
- [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression☆854Updated 2 years ago
- A standard framework for modelling Deep Learning Models for tabular data☆1,454Updated this week
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆617Updated 2 years ago
- 🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库☆352Updated 8 months ago
- Bayesian active learning library for research and industrial usecases.☆886Updated 7 months ago
- Deep Active Learning☆820Updated 2 years ago
- CORAL and CORN implementations for ordinal regression with deep neural networks.☆231Updated last year
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆353Updated 6 months ago
- A learning rate range test implementation in PyTorch☆945Updated 2 months ago
- [ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for …☆1,323Updated last year
- PyTorch implementation of bayesian neural network [torchbnn]☆510Updated 6 months ago
- Learning Rate Warmup in PyTorch☆403Updated 2 weeks ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆414Updated 3 years ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆943Updated last year
- Unofficial PyTorch implementation of "Meta Pseudo Labels"☆387Updated last year
- A simple way to calibrate your neural network.☆1,127Updated 3 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,481Updated last week
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,246Updated 5 months ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆756Updated 3 years ago
- A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results☆458Updated 3 years ago
- CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark☆636Updated 3 months ago
- Ranger deep learning optimizer rewrite to use newest components☆327Updated last year
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆790Updated last year
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,283Updated last month
- 😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库☆1,410Updated 9 months ago
- Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab☆2,568Updated this week
- Pytorch Lightning code guideline for conferences☆1,253Updated last year