good first issue
Good for newcomers
code improvement
Codebase improvements to address tech debt / inefficiency / redundancy
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semi-supervised-learning
Here are 528 public repositories matching this topic...
Unsupervised Data Augmentation (UDA)
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Aug 28, 2021 - 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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Mar 8, 2022
gunja8
commented
Nov 24, 2021
Is there a way to stabilise the results of the algorithm spot the diff drift detection?
In each run with same configuration and data the results of diff and p values are different.
machine-learning
natural-language-processing
computer-vision
deep-learning
generative-model
semi-supervised-learning
graph-neural-networks
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Mar 29, 2022
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
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
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Mar 29, 2022 - Python
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
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Feb 6, 2022 - Python
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
machine-learning
computer-vision
deep-learning
toolkit
pytorch
semi-supervised-learning
codebase
self-supervised-learning
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Feb 25, 2022 - Python
Implementations of various VAE-based semi-supervised and generative models in PyTorch
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Mar 2, 2020 - Python
Semi-Supervised Learning, Object Detection, ICCV2021
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Nov 29, 2021 - 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 the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"
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Apr 26, 2019 - 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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Mar 23, 2022 - 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
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
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Oct 5, 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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Updated
Jan 2, 2018 - Python
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
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Jun 29, 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
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](
enhancement
New feature or request
good first issue
Good for newcomers
help wanted
Extra attention is needed
wontfix
This will not be worked on
PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch
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Apr 13, 2020 - Python
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
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Mar 19, 2022 - 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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Mar 23, 2022 - 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
Semi-supervised GAN in "Improved Techniques for Training GANs"
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Nov 27, 2019 - Python
[CVPR 2021] Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
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Mar 10, 2022 - 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
VOSK Speech Recognition Toolkit
multilingual
python
voice-recognition
speech-recognition
semi-supervised-learning
speech-to-text
lifelong-learning
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Feb 1, 2022 - C
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sklearn.utils are meant to be used internally within the scikit-learn package. They are not guaranteed to be stable between versions of scikit-learn. So depending on this submodule may limit cleanlab compatibility across sklearn versions.
Would not be too much work to replace the few cleanlab functions currently being