#Representation-learning
Showing 60 of 67 repositories tagged #representation-learning, ranked by stars
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-θΏη§»ε¦δΉ
Reading list for research topics in multimodal machine learning
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Datasets, tools, and benchmarks for representation learning of code.
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Cambrian-1 is a family of multimodal LLMs with a vision-centric design.
Unified Training of Universal Time Series Forecasting Transformers
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and π video, up to 5x faster than OpenAI CLIP and LLaVA πΌοΈ & ποΈ
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Metric learning and retrieval pipelines, models and zoo.
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Experiments for understanding disentanglement in VAE latent representations
A powerful baseline for image classification, face recognition and image retrieval with Pytorch
Unsupervised Feature Learning via Non-parametric Instance Discrimination
Must-read papers and resources related to causal inference and machine (deep) learning
This repo contains the code for "VLM2Vec" [ICLR 2025], "VLM2Vec-V2 [TMLR 2026]", and "MMEB-V3"
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
Paper List for Contrastive Learning for Natural Language Processing
Keras implementation of Representation Learning with Contrastive Predictive Coding
Self-supervised contrastive learning for time series via time-frequency consistency
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application
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
Awesome Transformers (self-attention) in Computer Vision
The PASS dataset: pretrained models and how to get the data
Hierarchy-based Image Embeddings for Semantic Image Retrieval
[ACM CSUR] A curated list of papers on universal representation learning for time series.
A curated list of awesome self-supervised learning methods in videos
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
Internet Explorer explores the web in a self-supervised manner to progressively find relevant examples that improve performance on a desired target dataset.
LRRNet (IEEE TPAMI 2023, Highly Cited Paper), Python 3.7, Pytorch >=1.8
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
Semantic Entity Retrieval Toolkit
:globe_with_meridians: Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
computer vision models for single-cell phenotyping
Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.
Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)
FlatNCE: A Novel Contrastive Representation Learning Objective
ICE: Item Concept Embedding
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
Proto-RL: Reinforcement Learning with Prototypical Representations
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval - ICCV2021
Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)
This repository contains code to download data for the preprint "MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning"
Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
A library for evaluating representations.
A paper list of pre-trained language models (PLMs).
Compressing Representations for Self-Supervised Learning
Awesome Deep Multi-View Clustering is a collection of SOTA, novel deep multi-view clustering methods (papers and codes).
Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
Profiling and Deanonymizing Ethereum Users
[ICLR 2026] The implementation of the paper Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors
Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18