TorchEnsemble-Community / Ensemble-Pytorch
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
☆1,091Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for Ensemble-Pytorch
- A curated (most recent) list of resources for Learning with Noisy Labels☆686Updated last month
- [ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for …☆1,457Updated 10 months ago
- CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark☆629Updated 3 weeks ago
- Awesome Neural Architecture Search Papers☆422Updated 9 months ago
- Deep Active Learning☆810Updated 2 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,042Updated 8 months ago
- 😎 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☆1,389Updated 6 months ago
- A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quan…☆609Updated last year
- A Survey☆543Updated last year
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆677Updated 3 weeks ago
- Learning Rate Warmup in PyTorch☆392Updated this week
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆288Updated last year
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆780Updated 2 years ago
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,194Updated 11 months ago
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆813Updated 11 months ago
- Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab☆3,294Updated 3 weeks ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆543Updated 4 years ago
- [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression☆826Updated 2 years ago
- Pytorch implementation of various Knowledge Distillation (KD) methods.☆1,620Updated 3 years ago
- A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results☆579Updated 2 years ago
- A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, I…☆1,395Updated last month
- Unofficial PyTorch implementation of "Meta Pseudo Labels"☆383Updated 10 months ago
- Pytorch Lightning code guideline for conferences☆1,240Updated last year
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,780Updated 9 months ago
- A simple method to perform semi-supervised learning with limited data.☆1,106Updated 3 months ago
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,798Updated 6 months ago
- Domain adaptation made easy. Fully featured, modular, and customizable.☆359Updated last year
- NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several …☆528Updated 2 weeks ago
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,125Updated 10 months ago
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,766Updated 4 months ago