A curated list of network embedding techniques.
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Updated
Jul 21, 2020
#
representation-learning
Here are 272 public repositories matching this topic...
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
machine-learning
knowledge-graph
representation-learning
relational-learning
graph-embeddings
knowledge-graph-embeddings
graph-representation-learning
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Aug 19, 2020 - Python
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
computer-vision
representation-learning
unsupervised-learning
self-supervised-learning
simclr
contrastive-learning
simclrv2
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Aug 20, 2020 - Jupyter Notebook
Datasets, tools, and benchmarks for representation learning of code.
python
nlp
data-science
data
machine-learning
natural-language-processing
deep-learning
tensorflow
ml
cnn
open-data
neural-networks
rnn
datasets
representation-learning
nlp-machine-learning
bert
programming-language-theory
self-attention
machine-learning-on-source-code
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Aug 12, 2020 - Jupyter Notebook
GraphVite: A General and High-performance Graph Embedding System
machine-learning
gpu
cuda
data-visualization
knowledge-graph
representation-learning
network-embedding
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Mar 18, 2020 - C++
A collection of research on knowledge graphs
natural-language-processing
information-retrieval
paper
survey
knowledge-graph
question-answering
representation-learning
cross-modal
knowledge-graph-completion
ner
dialogue-systems
reasoning
relation-extraction
commonsense
temporal-knowledge-graph
recommendation-systems
meta-relational-learning
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Updated
Aug 6, 2020 - JavaScript
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
machine-learning
deep-learning
pytorch
representation-learning
unsupervised-learning
contrastive-loss
torchvision
pytorch-implementation
simclr
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Jul 3, 2020 - Jupyter Notebook
Unsupervised Feature Learning via Non-parametric Instance Discrimination
computer-vision
deep-learning
pytorch
imagenet
representation-learning
unsupervised-learning
nce
cvpr2018
self-supervised-learning
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Sep 3, 2018 - Python
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
arm
reinforcement-learning
robotics
state
pytorch
kuka
gym
representation-learning
baxter-robot
pybullet
baselines
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Aug 5, 2019 - Python
SCAN: Learning to Classify Images without Labels (ECCV 2020)
clustering
image-classification
representation-learning
unsupervised-learning
self-supervised-learning
eccv2020
eccv-2020
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Jul 22, 2020 - Python
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
pytorch
representation-learning
bert
vision-and-language
self-supervised-learning
pre-training
iclr2020
vl-bert
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Jul 6, 2020 - Jupyter Notebook
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
machine-learning
research
deep-learning
tensorflow
sklearn
pytorch
deepwalk
convolutional-neural-networks
representation-learning
gcn
iclr
graph-representation
node2vec
graph-convolutional-network
graphsage
graph-neural-networks
graph-wavelet
graph-convolution
gwnn
pygsp
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May 31, 2020 - Python
Keras implementation of Representation Learning with Contrastive Predictive Coding
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Updated
Jun 19, 2019 - Python
Experiments for understanding disentanglement in VAE latent representations
deep-learning
reproducible-research
pytorch
mnist
chairs-dataset
vae
representation-learning
unsupervised-learning
beta-vae
celeba
variational-autoencoder
disentanglement
dsprites
fashion-mnist
disentangled-representations
factor-vae
beta-tcvae
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Nov 29, 2019 - Python
Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
transfer-learning
representation-learning
3d-model
fine-tuning
self-supervised-learning
pre-trained-model
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Jul 20, 2020 - MATLAB
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
heterogeneous-network
representation-learning
multiplex-networks
network-embedding
attributed-networks
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Dec 30, 2019 - Python
SMORe: Modularize Graph Embedding for Recommendation
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Updated
Feb 9, 2020 - C++
The Tensorflow code for this ACL 2018 paper: "Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms"
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Jun 29, 2018 - Python
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
deep-learning
generative-model
vae
awesome-list
representation-learning
unsupervised-learning
variational-inference
variational-autoencoder
variational-bayes
disentanglement
variational-auto-encoder
disentangled-representations
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Updated
Jul 14, 2020
Graph convolutional neural network for multirelational link prediction
deep-learning
pharmacology
embeddings
representation-learning
graph-convolutional-networks
graph-neural-networks
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Updated
Aug 6, 2020 - Jupyter Notebook
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
machine-learning
natural-language-processing
computer-vision
deep-learning
neural-network
semi-supervised-learning
convolutional-networks
neural-machine-translation
representation-learning
gaussian-processes
variational-inference
kernel-learning
variational-autoencoders
deep-kernel-learning
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Updated
Jun 5, 2019
Representation learning for link prediction within social networks
graph-algorithms
social-network
networkx
autoencoder
representation-learning
link-prediction
node2vec
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Sep 4, 2018 - Jupyter Notebook
Code for the paper "VirTex: Learning Visual Representations from Textual Annotations"
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Updated
Aug 9, 2020 - Python
Poincaré Embedding (unofficial)
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Updated
May 7, 2019 - C++
Representation-Learning-on-Heterogeneous-Graph
machine-learning
deep-learning
representation-learning
network-embedding
graph-embedding
heterogeneous-information-networks
network-representation-learning
graph-neural-network
heterogeneous-graph
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Updated
Mar 13, 2020
Python library for knowledge graph embedding and representation learning.
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Updated
Aug 6, 2020 - Python
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
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Jul 24, 2020 - Python
Implementation of VLAE
feature-extraction
generative-model
representation-learning
unsupervised-learning
variational-inference
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Updated
Dec 21, 2017 - Python
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
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Updated
Jul 25, 2020 - Python
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I am a newcomer to the audio field. I have some questions when use this project to generate the audio embedding for my multimodality model (text and audio)
I want to use Mockingjay, and run `python preprocess_any.py --feature_type=mel' but get 80 dim features, I just simply change num_mel in utility/audio.py from 80 to 160(I see this model need 160dim mel features in README), is it right?
Th