179 Open source projects that are alternatives of or similar to Semi-Supervised-Learning-GAN

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

A high-level framework for advanced deep learning with TensorFlow

图像配准算法。包括 SIFT、ORB、SURF、AKAZE、BRIEF、matchTemplate

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Generator loss to reduce mode-collapse and to improve the generated samples quality.

Reproduce some methods in semi-supervised papers.

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

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

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory

Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

Benchmarks for semi-supervised domain generalization.

A PyTorch implementation of alpha-GAN

Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

JCLAL is a general purpose framework developed in Java for Active Learning.

Active learning for deep object detection using YOLO

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Semi-supervised GAN in "Improved Techniques for Training GANs"

Pose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces (ICCV 2021)

A curated collection of adversarial attack and defense on graph data.

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

Invariant representation learning from imaging and spectral data

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

tensorflow2.x implementations of Generative Adversarial Networks.

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

Semisupervided LDA for theory-driven text analysis

Keras implementation of temporal ensembling(semi-supervised learning)

Feature Detection and Matching with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK through the Brute Force and FLANN algorithms using Python and OpenCV

Deep Metric Transfer for Label Propagation with Limited Annotated Data

TensorFlow implementation for "Guided Optical Flow Learning"

Python codes for weakly-supervised learning

[CVPR 2022] StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

Tensorflow implementation of Adversarial Autoencoders

Joint Semi-supervised Learning of Image Registration and Segmentation

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

VOSK Speech Recognition Toolkit

PyProphet: Semi-supervised learning and scoring of OpenSWATH results.

Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/1807.11407)

CFG-GAN: Composite functional gradient learning of generative adversarial models

Source code and data for ACL 2019 Long Paper ``Semantic Parsing with Dual Learning".

Guided Conditional Wasserstein GAN for De Novo Protein Design

GAN model using PyTorch

supervised and semi-supervised image classification with self-supervision (Keras)