semisup-learn
Semi-supervised trainer
A framework for training semi-supervised machine learning models using various techniques
Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
502 stars
25 watching
154 forks
Language: Python
last commit: about 3 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
lijunnan1992/dividemix | A PyTorch implementation of a semi-supervised learning framework for training deep neural networks with noisy labels by dynamically dividing the data into clean and noisy sets. | 543 |
wohlert/semi-supervised-pytorch | A collection of semi-supervised learning and generative models implemented in PyTorch | 707 |
tmadl/sklearn-expertsys | A scikit-learn wrapper for interpretable classifiers based on decision rules | 489 |
wyy-123-xyy/ra-fed | A Python implementation of a distributed machine learning framework for training neural networks on multiple GPUs | 6 |
diaoenmao/semifl-semi-supervised-federated-learning-for-unlabeled-clients-with-alternate-training | An implementation of semi-supervised federated learning for improving the performance of a server using distributed clients with unlabeled data | 34 |
ardanlabs/training-ai | Provides training materials and tools for building machine learning applications | 72 |
intelligent-machine-learning/dlrover | An automatic distributed deep learning system that simplifies the training of large AI models | 1,270 |
scikit-learn-contrib/metric-learn | A Python library providing efficient implementations of various supervised and weakly-supervised metric learning algorithms. | 1,399 |
open-mmlab/mmengine | Provides a flexible and configurable framework for training deep learning models with PyTorch. | 1,179 |
krayush07/learn-by-weak-supervision | An implementation of meta-learning from unlabeled data to improve task accuracy using a technique called 'weak supervision' | 4 |
scikit-learn/scikit-learn | A comprehensive Python module for machine learning built on top of SciPy | 60,210 |
amueller/scipy_2015_sklearn_tutorial | Tutorials and materials for learning machine learning with Python using popular libraries like scikit-learn. | 576 |
tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 827 |
gaelvaroquaux/scikit-learn-tutorial | A tutorial on applying machine learning to practical situations using the scikit-learn library | 129 |
sihengli99/textbind | Enables larger language models to generate multi-turn multimodal instruction-response conversations from image-caption pairs with minimal annotations. | 48 |