CIKM2020-S3RecCode for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"
Stars: ✭ 150 (+368.75%)
info-nce-pytorchPyTorch implementation of the InfoNCE loss for self-supervised learning.
Stars: ✭ 160 (+400%)
Context-Aware-ConsistencySemi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)
Stars: ✭ 121 (+278.13%)
mmselfsupOpenMMLab Self-Supervised Learning Toolbox and Benchmark
Stars: ✭ 2,315 (+7134.38%)
simclr-pytorchPyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
Stars: ✭ 89 (+178.13%)
TCEThis repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
Stars: ✭ 51 (+59.38%)
G-SimCLRThis is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.
Stars: ✭ 69 (+115.63%)
self6dppSelf6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.
Stars: ✭ 45 (+40.63%)
ProSelfLC-2021noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.
Stars: ✭ 45 (+40.63%)
deviation-networkSource code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection
Stars: ✭ 94 (+193.75%)
ganbertEnhancing the BERT training with Semi-supervised Generative Adversarial Networks
Stars: ✭ 205 (+540.63%)
CsiGANAn implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.
Stars: ✭ 23 (-28.12%)
emotion-recognition-GANThis project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN
Stars: ✭ 20 (-37.5%)
BYOLBootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Stars: ✭ 102 (+218.75%)
Patch-GCNContext-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
Stars: ✭ 63 (+96.88%)
AdCoAdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
Stars: ✭ 148 (+362.5%)
lossylessGeneric image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".
Stars: ✭ 81 (+153.13%)
FAST-Pathology⚡ Open-source software for deep learning-based digital pathology
Stars: ✭ 54 (+68.75%)
DisContCode for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".
Stars: ✭ 13 (-59.37%)
DIGA library for graph deep learning research
Stars: ✭ 1,078 (+3268.75%)
HybridNetPytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/1807.11407)
Stars: ✭ 16 (-50%)
semantic-parsing-dualSource code and data for ACL 2019 Long Paper ``Semantic Parsing with Dual Learning".
Stars: ✭ 17 (-46.87%)
ST-PlusPlus[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
Stars: ✭ 168 (+425%)
SimCLR-in-TensorFlow-2(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.
Stars: ✭ 75 (+134.38%)
FocusLiteNNOfficial PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"
Stars: ✭ 28 (-12.5%)
DeepAtlasJoint Semi-supervised Learning of Image Registration and Segmentation
Stars: ✭ 38 (+18.75%)
self-supervisedWhitening for Self-Supervised Representation Learning | Official repository
Stars: ✭ 83 (+159.38%)
semi-supervised-NFsCode for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning
Stars: ✭ 23 (-28.12%)
CVPR21 PASSPyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
Stars: ✭ 55 (+71.88%)
Self-Supervised-GANsTensorflow Implementation for paper "self-supervised generative adversarial networks"
Stars: ✭ 34 (+6.25%)
sinkhorn-label-allocationSinkhorn 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.
Stars: ✭ 49 (+53.13%)
BossNAS(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
Stars: ✭ 125 (+290.63%)
ccglTKDE 22. CCCL: Contrastive Cascade Graph Learning.
Stars: ✭ 20 (-37.5%)
newtNatural World Tasks
Stars: ✭ 24 (-25%)
metric-transfer.pytorchDeep Metric Transfer for Label Propagation with Limited Annotated Data
Stars: ✭ 49 (+53.13%)
S2-BNNS2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)
Stars: ✭ 53 (+65.63%)
C2CImplementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
Stars: ✭ 30 (-6.25%)
Pro-GNNImplementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Stars: ✭ 202 (+531.25%)
al-fk-self-supervisionOfficial PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"
Stars: ✭ 28 (-12.5%)
SelfGNNA PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).
Stars: ✭ 24 (-25%)
GCLList of Publications in Graph Contrastive Learning
Stars: ✭ 25 (-21.87%)
cucimNo description or website provided.
Stars: ✭ 218 (+581.25%)
spearSPEAR: Programmatically label and build training data quickly.
Stars: ✭ 81 (+153.13%)
naruNeural Relation Understanding: neural cardinality estimators for tabular data
Stars: ✭ 76 (+137.5%)
DualStudentCode for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]
Stars: ✭ 106 (+231.25%)
CLSAofficial implemntation for "Contrastive Learning with Stronger Augmentations"
Stars: ✭ 48 (+50%)
fixmatch-pytorch90%+ with 40 labels. please see the readme for details.
Stars: ✭ 27 (-15.62%)
pillar-motionSelf-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)
Stars: ✭ 98 (+206.25%)
esvitEsViT: Efficient self-supervised Vision Transformers
Stars: ✭ 323 (+909.38%)
IFMCode for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.
Stars: ✭ 33 (+3.13%)
Co-miningCo-mining: Self-Supervised Learning for Sparsely Annotated Object Detection, AAAI 2021.
Stars: ✭ 16 (-50%)
paquoPAthological QUpath Obsession - QuPath and Python conversations
Stars: ✭ 42 (+31.25%)
PASSLPASSL包含 SimCLR,MoCo v1/v2,BYOL,CLIP,PixPro,BEiT,MAE等图像自监督算法以及 Vision Transformer,DEiT,Swin Transformer,CvT,T2T-ViT,MLP-Mixer,XCiT,ConvNeXt,PVTv2 等基础视觉算法
Stars: ✭ 134 (+318.75%)
FKDA Fast Knowledge Distillation Framework for Visual Recognition
Stars: ✭ 49 (+53.13%)