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

GitHub

502 stars
25 watching
154 forks
Language: Python
last commit: about 3 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

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