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.

✭ 17

python benchmark computer-vision dataset face-recognition representation-learning

srVAE

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

✭ 56

python pytorch generative-model vae representation-learning unsupervised-learning super-resolution cifar10 variational-autoencoder unsupervised-machine-learning cifar-10 vae-pytorch

dropclass speaker

DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020

✭ 20

python shell machine-learning dropout kaldi representation-learning speaker-recognition speaker-verification meta-learning speaker-identification metalearning speaker-embedding speaker-adaptation

disent

🧶 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

✭ 41

python metrics pytorch vae metric-learning datasets representation-learning configurable autoencoders disentanglement disentangled-representations pytorch-lightning

RG-Flow

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

✭ 58

python computer-vision generative-model representation-learning sparse-coding hierarchical-models renormalization-group normalizing-flow

self-supervised

Whitening for Self-Supervised Representation Learning | Official repository

✭ 83

python Dockerfile representation-learning self-supervised-learning

ladder-vae-pytorch

Ladder Variational Autoencoders (LVAE) in PyTorch

✭ 59

python pytorch vae representation-learning unsupervised-learning variational-inference generative-models variational-autoencoders ladder-vae ladder-variational-autoencoders

entity-embed

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

✭ 96

Jupyter Notebook python deep-learning record-linkage entity-resolution pytorch embeddings representation-learning deduplication entity-matching data-matching approximate-nearest-neighbors

factorized

[ICLR 2019] Learning Factorized Multimodal Representations

✭ 49

python machine-learning representation-learning multimodal-learning

simclr-pytorch

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

✭ 89

Jupyter Notebook python deep-learning pytorch representation-learning self-supervised-learning pytorch-implementation contrastive-learning

EgoNet

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

✭ 111

python C++deep-learning representation-learning vehicles autonomous-driving pose-estimation 3d-vision kitti projective-geometry 3d-pose-estimation self-supervised-learning 3d-object-detection orientation-estimation kitti-3d robot-perception cvpr2021

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

✭ 3,125

machine-learning natural-language-processing reinforcement-learning computer-vision deep-learning robotics healthcare reading-list representation-learning speech-processing multimodal-learning

awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

✭ 748

deep-learning transfer-learning representation-learning unsupervised-learning self-supervised-learning hacktoberfest-accepted

batter-pitcher-2vec

A model for learning distributed representations of MLB players.

✭ 75

Jupyter Notebook TeX r keras neural-networks baseball representation-learning

gan tensorflow

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

✭ 48

Jupyter Notebook machine-learning deep-learning tensorflow keras feature-extraction generative-adversarial-network representation-learning feature-engineering

cpnet

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

✭ 93

python C++shell Cuda Makefile neural-network tensorflow point-cloud representation-learning action-recognition video-classification

visual syntactic embedding video captioning

Source code of the paper titled *Improving Video Captioning with Temporal Composition of a Visual-Syntactic Embedding*

✭ 23

python deep-learning representation-learning pos-tagging encoder-decoder video-captioning video-to-text msvd video-description msr-vtt wacv2021 syntactic-representations

ethereum-privacy

Profiling and Deanonymizing Ethereum Users

✭ 37

python Jupyter Notebook shell privacy research ethereum cryptocurrency representation-learning network-embedding graph-analysis deanonymization node-embeddings

Patient2Vec

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

✭ 85

python deep-learning personalization healthcare lstm ehr representation-learning attention-mechanism electronic-health-records deep-feature-extraction gated-recurrent-unit hospitalization

CodeT5

Code for CodeT5: a new code-aware pre-trained encoder-decoder model.

✭ 390

python shell nlp representation-learning language-model code-intelligence

poincare embedding

Poincaré Embedding

✭ 36

python machine-learning representation-learning hyperbolic-geometry

game-feature-learning

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

✭ 68

python matlab C++computer-vision deep-learning representation-learning domain-adaptation synthetic-data self-supervised

autoencoders tensorflow

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

✭ 66

python machine-learning deep-learning tensorflow keras feature-extraction autoencoder bayesian-inference representation-learning feature-engineering autoencoders

SimCLR

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

✭ 65

python pytorch representation-learning unsupervised-learning simclr contrastive-learning

proto

Proto-RL: Reinforcement Learning with Prototypical Representations

✭ 67

python control reinforcement-learning deep-learning pixel pytorch gym rl representation-learning unsupervised-learning proto sac mujoco dm-control soft-actor-critic drq proto-rl unsupervised-rl

ExCon

ExCon: Explanation-driven Supervised Contrastive Learning

✭ 17

python shell deep-learning machine-learning-algorithms artificial-intelligence representation-learning

information-dropout

Implementation of Information Dropout

✭ 36

python machine-learning deep-learning information-theory representation-learning

MSF

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

✭ 42

python shell machine-learning computer-vision convolutional-neural-networks representation-learning knn mean-shift self-supervised-learning

State-Representation-Learning-An-Overview

Simplified version of "State Representation Learning for Control: An Overview" bibliography

✭ 32

reinforcement-learning deep-learning representation-learning unsupervised-learning state-representation-learning

FEATHER

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

gnn-lspe

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

✭ 165

python Jupyter Notebook shell graphs transformers attention representation-learning molecules message-passing lspe geometric-deep-learning graph-neural-networks graph-representation-learning gnn graph-deep-learning positional-encoding graph-transformer transformer-networks gnn-lspe

rl singing voice

Unsupervised Representation Learning for Singing Voice Separation

✭ 18

python representation-learning unsupervised-learning denoising-autoencoders source-separation music-signal-processing interpretable-deep-learning differential-dsp

ShapeFormer

Official repository for the ShapeFormer Project

✭ 97

python shell Jupyter Notebook Dockerfile generative-model representation-learning 3d-reconstruction shape-completion 3dvision

meta-embeddings

Meta-embeddings are a probabilistic generalization of embeddings in machine learning.

✭ 22

matlab TeX python machine-learning representation-learning speaker-recognition

TailCalibX

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

Pose2vec

A Repository for maintaining various human skeleton preprocessing steps in numpy and tensorflow along with tensorflow model to learn pose embeddings.

✭ 25

python tensorflow representation-learning gans action-recognition wacv19 aaai19 engan pose-gan

FLIP

A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design

✭ 35

Jupyter Notebook python protein protein-sequences representation-learning protein-design protein-function-prediction protein-fitness-prediction

graphml-tutorials

Tutorials for Machine Learning on Graphs

✭ 125

Jupyter Notebook python shell deep-learning tutorials embeddings networks representation-learning graph-convolutional-networks graph-neural-networks graph-ml network-embeddings

pair2vec

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

✭ 62

python shell natural-language-processing word-embeddings question-answering representation-learning natural-language-inference

amr

Official adversarial mixup resynthesis repository

✭ 31

python shell mnist-dataset representation-learning unsupervised-learning autoencoders acai celeba-dataset mixup kmnist svhn-dataset adversarial-mixup-resynthesis

ParametricUMAP paper

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

✭ 132

Jupyter Notebook python machine-learning dimensionality-reduction representation-learning umap semisupervised-learning

TCE

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

✭ 51