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representation-learning x

323 search results found

Transferlearning ⭐ 12,494

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Awesome Network Embedding ⭐ 2,218

A curated list of network embedding techniques.

Codesearchnet ⭐ 2,054

Datasets, tools, and benchmarks for representation learning of code.

Ampligraph ⭐ 1,963

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Deberta ⭐ 1,673

The implementation of DeBERTa

EVA Series: Visual Representation Fantasies from BAAI

Unsupervised Classification ⭐ 1,217

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

Paddlehelix ⭐ 729

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Bigscity Libcity ⭐ 721

LibCity: An Open Library for Urban Spatial-temporal Data Mining

One Peace ⭐ 714

A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

Disentangling Vae ⭐ 668

Experiments for understanding disentanglement in VAE latent representations

Awesome Deep Graph Clustering ⭐ 626

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Fair_self_supervision_benchmark ⭐ 557

Scaling and Benchmarking Self-Supervised Visual Representation Learning

Self Label ⭐ 507

Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

Featurelearningrotnet ⭐ 496

Simsiam ⭐ 475

A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

Lemniscate.pytorch ⭐ 467

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Robotics Rl Srl ⭐ 455

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Declutr ⭐ 349

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

Pykg2vec ⭐ 294

Python library for knowledge graph embedding and representation learning.

Unsupervised Semantic Segmentation ⭐ 291

Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]

Pointllm ⭐ 276

[arXiv 2023] PointLLM: Empowering Large Language Models to Understand Point Clouds

Revisiting Self Supervised ⭐ 272

Contrastive Predictive Coding ⭐ 269

Keras implementation of Representation Learning with Contrastive Predictive Coding

The Tensorflow code for this ACL 2018 paper: "Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms"

The PASS dataset: pretrained models and how to get the data

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

[NeurIPS'20] Self-supervised Co-Training for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.

Batchformer ⭐ 210

CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522

Semantic Embeddings ⭐ 206

Hierarchy-based Image Embeddings for Semantic Image Retrieval

Official PyTorch implementation of PDAE (NeurIPS 2022)

Mixstyle Release ⭐ 190

Domain Generalization with MixStyle (ICLR'21)

HuBERT content encoders for: A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

Awesome Mim ⭐ 178

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

Role2vec ⭐ 157

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022

Vae_vampprior ⭐ 151

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

Multi_object_datasets ⭐ 151

Multi-object image datasets with ground-truth segmentation masks and generative factors.

Tensorflow Infogan ⭐ 148

🎎 InfoGAN: Interpretable Representation Learning

Codeslam ⭐ 146

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

Featdepth ⭐ 143

This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".

Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.

[ECCV'20 Spotlight] Memory-augmented Dense Predictive Coding for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.

Attribute Aware Attention ⭐ 124

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

Official implementation of SaProt.

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

Sapbert ⭐ 117

[NAACL'21 & ACL'21] SapBERT: Self-alignment pretraining for BERT & XL-BEL: Cross-Lingual Biomedical Entity Linking.

Efficient Vdvae ⭐ 115

Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

Gnn Lspe ⭐ 114

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

Contrastive Predictive Coding Pytorch ⭐ 109

Contrastive Predictive Coding for Automatic Speaker Verification

QML: Quantum Machine Learning

Align and Prompt: Video-and-Language Pre-training with Entity Prompts

Social Nce ⭐ 108

[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.

ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction

A package for Multiple Kernel Learning in Python

Self Supervised ⭐ 106

Whitening for Self-Supervised Representation Learning | Official repository

EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding

Unsupervisedgeometryawarerepresentationlearning ⭐ 102

Unsupervised Geometry-Aware Representation Learning for 3D Human Pose Estimation (ECCV 2018)

Conditional Motion Propagation ⭐ 99

Code for our CVPR 2019 work.

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

Entity Embed ⭐ 98

PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.

Rethinking Self-Supervised Correspondence Learning: A Video Frame-level Similarity Perspective, in ICCV 2021 (Oral)

Pytorch Agnn ⭐ 94

Pytorch implementation of the Attention-based Graph Neural Network(AGNN)

Deepcontext ⭐ 93

Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'

Edge-aware Graph Representation Learning and Reasoning for Face Parsing (ECCV 2020)

Trajectory2vec ⭐ 92

code for "Trajectory clustering via deep representation learning"

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

Autoregressive Predictive Coding ⭐ 87

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

Acoustic Model ⭐ 86

Acoustic models for: A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

[BMVC 2021] ''Self-Supervised Monocular Depth Estimation with Internal Feature Fusion''

Semantic Entity Retrieval Toolkit

The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"

🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

Maskdistill ⭐ 82

Discovering Object Masks for Unsupervised Semantic Segmentation [2022]

The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"

Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"

This project is the official implementation of 'Knowledge Distillation based Degradation Estimation for Blind Super-Resolution', ICLR2023

Video Pace ⭐ 78

code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction

tensorflow-as-gcn

ConMask model described in paper Open-world Knowledge Graph Completion.

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

[ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Self-supervised Product Quantization for Deep Unsupervised Image Retrieval - ICCV2021

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

Representation Learning For Information Extraction ⭐ 72

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

[NeurIPS 2022] The official implementation of "Learning to Discover and Detect Objects".

Patchmix ⭐ 68

The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

Game Feature Learning ⭐ 65

Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery, CVPR'18

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

Dogtorch ⭐ 64

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

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