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Jun 6, 2021 - Python
#
semi-supervised-learning
Here are 431 public repositories matching this topic...
The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and models.
machine-learning
machine-learning-algorithms
weak-supervision
semi-supervised-learning
unsupervised-learning
data-cleaning
clean-data
learning-with-confident-examples
noisy-data
data-centric
confident-learning
latent-estimation
robust-machine-learning
learning-with-noisy-labels
Unsupervised Data Augmentation (UDA)
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Apr 22, 2020 - Python
A state-of-the-art semi-supervised method for image recognition
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Oct 8, 2020 - Python
Federated Learning Library: https://fedml.ai
machine-learning
privacy
computer-vision
semi-supervised-learning
transfer-learning
wireless-communication
distributed-optimization
interpretability
neural-architecture-search
federated-learning
continual-learning
vertical-federated-learning
non-iid
decentralized-federated-learning
hierarchical-federated-learning
adversarial-attack-and-defense
communication-efficiency
straggler-problem
computation-efficiency
incentive-mechanism
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Jul 20, 2021
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
deep-neural-networks
ai
deep-learning
artificial-intelligence
generative-adversarial-network
gan
dcgan
semi-supervised-learning
gans
artificial-intelligence-algorithms
cycle-gan
conditional-gan
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Sep 24, 2020 - Jupyter Notebook
machine-learning
natural-language-processing
computer-vision
deep-learning
generative-model
semi-supervised-learning
graph-neural-networks
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Jun 22, 2021
Implementations of various VAE-based semi-supervised and generative models in PyTorch
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Mar 2, 2020 - Python
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
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Jun 2, 2021 - Python
A full pipeline AutoML tool for tabular data
tabular-data
xgboost
semi-supervised-learning
gbm
lightgbm
ensemble-learning
dask
preprocessing
automl
distributed-training
datacleaning
catboost
pseudo-labeling
fullpipeline
adversarial-validation
automl-pipeline-selection
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Jul 16, 2021 - Jupyter Notebook
Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"
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Apr 26, 2019 - Python
A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
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Mar 5, 2019 - Python
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
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Jul 22, 2021 - Python
Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
deep-learning
mxnet
end-to-end
text-recognition
semi-supervised-learning
convolutional-neural-networks
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Jan 2, 2018 - Python
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
semi-supervised-learning
class-imbalance
imbalanced-data
imbalanced-learning
long-tail
unlabeled-data
self-supervised-learning
neurips
imbalanced-classification
neurips-2020
long-tailed-recognition
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Apr 3, 2021 - Python
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
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Apr 15, 2021 - Python
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
computer-vision
deep-learning
pytorch
semi-supervised-learning
semantic-segmentation
adversarial-learning
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Apr 21, 2021 - Python
A PyTorch toolbox for domain adaptation and semi-supervised learning.
machine-learning
deep-neural-networks
computer-vision
deep-learning
pytorch
artificial-intelligence
semi-supervised-learning
domain-adaptation
benchmark-datasets
domain-generalization
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Jul 24, 2021 - Python
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
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Jun 29, 2021 - Python
ptynecki
commented
May 16, 2020
Hey,
I would propose extend list of available models by SeqVec (ELMo-based implementation) which was presented in the Modeling aspects of the language of life through transfer-learning protein sequences paper.
SeqVec model trained on UniRef50 is available at: [SeqVec-model](
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
tensorflow
semi-supervised-learning
convolutional-neural-networks
image-segmentation
gans
brain-mri
3d-gan
semi-supervised-gan
medical-image-analysis
few-shot-learning
unet-3d
unet-tensorflow
multi-modal-imaging
iseg-challenge
weightnorm-3d
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Oct 27, 2020 - Python
PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch
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Apr 13, 2020 - Python
Learning to Cluster. A deep clustering strategy.
deep-neural-networks
deep-learning
clustering
artificial-intelligence
supervised-learning
semi-supervised-learning
artificial-neural-networks
transfer-learning
unsupervised-learning
loss-functions
similarity-metric
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Jan 8, 2020 - Python
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
machine-learning
natural-language-processing
computer-vision
deep-learning
neural-network
semi-supervised-learning
convolutional-networks
neural-machine-translation
representation-learning
gaussian-processes
variational-inference
kernel-learning
variational-autoencoders
deep-kernel-learning
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Jun 5, 2019
Semi-supervised GAN in "Improved Techniques for Training GANs"
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Nov 27, 2019 - Python
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Jan 4, 2021 - Python
A curated collection of adversarial attack and defense on graph data.
machine-learning
awesome
resources
survey
semi-supervised-learning
graph-data
defense
adversarial-attack
graph-adversarial-learning
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Jul 12, 2021
Tensorflow implementation of Adversarial Autoencoders
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Jan 10, 2019 - Python
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
deep-learning
semi-supervised-learning
autoencoders
link-prediction
graph-representation
node-classification
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Jul 18, 2019 - Python
See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
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Sep 3, 2020 - Python
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tf.keras.Sequential
is an instance oftf.keras.Model
so could be left out across types in alibi-detect.