noisystudent
Learning booster
A semi-supervised learning method to improve the accuracy of machine learning models by using noisy teacher models and student models.
Code for Noisy Student Training. https://arxiv.org/abs/1911.04252
755 stars
29 watching
100 forks
Language: Python
last commit: almost 4 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
ermongroup/bgm | Provides an implementation of boosted generative models using Python | 20 |
stanfordmlgroup/ngboost | A Python library implementing a machine learning boosting framework with probabilistic prediction capabilities | 1,663 |
gbm-developers/gbm | An R package providing extensions to AdaBoost and gradient boosting machine algorithms for regression and other tasks. | 52 |
nust-machine-intelligence-laboratory/jo-src | An implementation of a contrastive learning approach to address noisy labels in machine learning models | 5 |
charliermarsh/online_boosting | A suite of algorithms and weak learners for the online learning setting in machine learning | 65 |
layneh/self-adaptive-training | Improves deep network generalization under noise and enhances self-supervised representation learning | 127 |
google/objax | An open-source machine learning framework designed to simplify and accelerate research | 772 |
jordanash/boostresnet | An implementation of a deep neural network architecture using boosting theory to improve its performance | 5 |
jay15summer/two-stage-tradaboost.r2 | An implementation of a boosting-based transfer learning algorithm for regression tasks. | 44 |
jinlow/forust | A package implementing a lightweight gradient boosted decision tree algorithm | 68 |
gorkemalgan/deep_learning_with_noisy_labels_literature | A collection of papers and repos on deep learning with noisy labels. | 235 |
uber-research/learning-to-reweight-examples | Project implementing a method to improve deep learning model robustness by re-weighting examples with noisy labels | 269 |
google-deepmind/meltingpot | Assesses generalization of multi-agent reinforcement learning algorithms to novel social situations | 637 |
google-research/flan | A repository providing tools and datasets to fine-tune language models for specific tasks | 1,484 |
sjsingh91/ib-cnn | A library implementing a learning algorithm for improving classification accuracy with incremental updates and ensemble methods using neural networks | 2 |