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323 search results found

Gmu Mmimdb ⭐ 62

Source code for training Gated Multimodal Units on MM-IMDb dataset

This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .

Object Centric Library ⭐ 60

Library for the training and evaluation of object-centric models (ICML 2022)

μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications, ISWC 2022

Pointglr ⭐ 60

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

Reprieve ⭐ 59

A library for evaluating representations.

Transforming Autoencoder Tf ⭐ 59

Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)

Graph_2d_cnn ⭐ 59

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks'

Raindrop ⭐ 58

Graph Neural Networks for Irregular Time Series

FlatNCE: A Novel Contrastive Representation Learning Objective

[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

[CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification

t2vec: Deep Representation Learning for Trajectory Similarity Computation

Morpho Mnist ⭐ 55

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)

Featuredecoupling ⭐ 55

Self-Supervised Representation Learning by Rotation Feature Decoupling

Pcc Pytorch ⭐ 55

A pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"

representation learning on attributed graphs

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

Learning trajectory representations using self-supervision and programmatic supervision.

Production-oriented Computer Vision models training pipeline for common tasks: classification, segmentation, detection and representation🥤

Vae_householder_flow ⭐ 53

Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)

Pair2vec ⭐ 53

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)

[CoRL 2020] Learning 3D Dynamic Scene Representations for Robot Manipulation

Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

Revisiting Contrastive Ssl ⭐ 51

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

Patient2vec ⭐ 51

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

Plan2vec ⭐ 49

Public Release of Plan2vec Implementation in pyTorch

PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022

Pytorch Simsiam ⭐ 48

A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet.

[NeurIPS 2019] Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition

Unsupervised Face Representation ⭐ 47

Implementation for Pre-training strategies and datasets for facial representation learning, ECCV 2022

[ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Pathology Gan ⭐ 47

Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings of The 3rd International Conference on Medical Imaging with Deep Learning (MIDL) 2020'

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

Exploring Target Representations for Masked Autoencoders (ICLR2024)

Stacked Denoising AutoEncoder

Self Supervised Temporal Discriminative Representation Learning For Video Action Recognition ⭐ 41

The code for our paper 《Self-Supervised Temporal-Discriminative Representation Learning for Video Action Recognition》 https://arxiv.org/abs/2008.02129

The official implementation of "Asymmetric Patch Sampling for Contrastive Learning"

Imagefusion Lrrnet ⭐ 40

LRRNet (IEEE TPAMI 2023), Python 3.7, Pytorch >=1.8

A Tensorflow Implementation of VQ-VAE Speaker Conversion

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Usss_iccv19 ⭐ 39

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment

MoPro: Webly Supervised Learning

Holoprot ⭐ 37

Multi-Scale Representation Learning on Proteins (NeurIPS 2021)

Wavencoder ⭐ 36

WavEncoder is a Python library for encoding audio signals, transforms for audio augmentation, and training audio classification models with PyTorch backend.

Representation Learning for the Automatic Indexing of Sound Effects Libraries (ISMIR 2022): Deep audio embeddings pre-trained on UCS & Non-UCS-compliant datasets.

Official code of our work, AVATAR: A Parallel Corpus for Java-Python Program Translation.

[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.

An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21

Proto-RL: Reinforcement Learning with Prototypical Representations

DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

Event Vae Rl ⭐ 34

Visuomotor policies from event-based cameras through representation learning and reinforcement learning. Accompanies our paper: https://arxiv.org/abs/2103.00806

Pytorch implimentation of《2017CVPR-Representation Learning by Rotating Your Faces》

Information Dropout ⭐ 34

Implementation of Information Dropout

Invariance Equivariance ⭐ 33

"Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (CVPR 2021)

Representationlearning ⭐ 33

Code base for representation learning of very short texts, such as tweets. By Cedric De Boom, IBCN, Ghent University, Belgium.

Multi View Ae ⭐ 32

Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.

Tailcalibx ⭐ 32

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

Maskedfacerepresentation ⭐ 31

Masked face recognition focuses on identifying people using their facial features while they are wearing masks. We introduce benchmarks on face verification based on masked face images for the development of COVID-safe protocols in airports.

Ladder Vae Pytorch ⭐ 31

Ladder Variational Autoencoders (LVAE) in PyTorch

PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023

[Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation

Demog Text Removal ⭐ 29

PyTorch Implementation of iCaRL

Simstock Representation Model For Stock Similarities ⭐ 29

Official Implementation of SimStock : Representation Model for Stock Similarities

DeepLabCut based data analysis package including pose estimation and representation learning mediated behavior recognition

[NeurIPS 2021] ORL: Unsupervised Object-Level Representation Learning from Scene Images

PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

Ethereum Privacy ⭐ 28

Profiling and Deanonymizing Ethereum Users

Malnet Graph ⭐ 27

A large-scale database for graph representation learning

Poincare_embedding ⭐ 26

Poincaré Embedding

Official code for "Mean Shift for Self-Supervised Learning"

[Findings of ACL2023] Improving Contrastive Learning of Sentence Embeddings from AI Feedback

Morphosymm ⭐ 26

Tools for exploiting Discrete Morphological Symmetries (DMS) in rigid body dynamics using Equivariant Neural Networks

Object Aware Contrastive ⭐ 24

Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)

Eicu Gnn Lstm ⭐ 24

This repository contains the code used for Predicting Patient Outcomes with Graph Representation Learning (https://arxiv.org/abs/2101.03940).

Joie Kdd19 ⭐ 24

Code and dataset for paper "Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts" published in KDD'2019.

A pytorch reimplement of paper "Momentum Contrast for Unsupervised Visual Representation Learning"

Variational Graph Recurrent Neural Networks - PyTorch

Av Superb ⭐ 23

A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models (ICASSP 2024)

Bgrl_pytorch ⭐ 23

Pytorch implementation of "Bootstrapped Representation Learning on Graphs"

Cldr_clner_models ⭐ 23

Though language model text embeddings have revolutionized NLP research, their ability to capture high-level semantic information, such as relations between entities in text, is limited. In this paper, we propose a novel contrastive learning framework that trains sentence embeddings to encode the relations in a graph structure. Given a sentence (unstructured text) and its graph, we use contrastive learning to impose relation-related structure on the token level representations of the sentence obt

Sub Character Cws ⭐ 23

Sub-Character Representation Learning

Modelzoodataset ⭐ 23

Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Models"

Subg Con ⭐ 23

Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"

Rank N Contrast ⭐ 22

[NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression

Self Supervised_learning_sketch ⭐ 22

self-supervised learning, deep learning, representation learning, RotNet, temporal convolutional network(TCN), deformation transformation, sketch pre-train, sketch classification, sketch retrieval, free-hand sketch, official code of paper "Deep Self-Supervised Representation Learning for Free-Hand Sketch"

the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）

Official PyTorch Implementation of Peripheral Vision Transformer, NeurIPS 2022

Couscous ⭐ 21

Siamese neural networks for representation learning using Theano.

Meta Emb ⭐ 20

Hierarchical Multilingual Meta-Embeddings (EMNLP)

Deep Hash Distillation ⭐ 20

Deep Hash Distillation for Image Retrieval - ECCV 2022

Snerl_official ⭐ 20

Official code for "SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning" (ICML 2023)

Official adversarial mixup resynthesis repository

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