TorchEnsemble-Community / Ensemble-PytorchLinks
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
☆1,039Updated 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:
- A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).☆1,000Updated 2 weeks ago
- [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression☆902Updated 3 years ago
- A curated (most recent) list of resources for Learning with Noisy Labels☆717Updated last year
- Research on Tabular Deep Learning: Papers & Packages☆1,084Updated last year
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,549Updated last month
- 🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库☆404Updated 7 months ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆979Updated 2 years ago
- PyTorch implementation of bayesian neural network [torchbnn]☆552Updated last year
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆503Updated last year
- A simple way to calibrate your neural network.☆1,168Updated 4 months ago
- Awesome Domain Adaptation Python Toolbox☆358Updated last week
- [ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for …☆1,359Updated last year
- OpenFE: automated feature generation with expert-level performance☆832Updated last year
- A standard framework for modelling Deep Learning Models for tabular data☆1,606Updated last month
- Deep Active Learning☆841Updated 3 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆499Updated 4 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆633Updated 3 years ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆369Updated last year
- Domain adaptation made easy. Fully featured, modular, and customizable.☆391Updated 2 years ago
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆640Updated 7 months ago
- Bayesian active learning library for research and industrial usecases.☆913Updated last week
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆459Updated 4 years ago
- ☆349Updated 4 years ago
- A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quan…☆650Updated 2 years ago
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆1,040Updated 9 months ago
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆308Updated last year
- A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results☆460Updated 3 years ago
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆979Updated 3 years ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆205Updated last month
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆387Updated 7 months ago