A curated list of network embedding techniques.

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

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

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

GraphVite: A General and High-performance Graph Embedding System

A collection of research on knowledge graphs

Unsupervised Feature Learning via Non-parametric Instance Discrimination

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

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

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Keras implementation of Representation Learning with Contrastive Predictive Coding

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

Experiments for understanding disentanglement in VAE latent representations

SMORe: Modularize Graph Embedding for Recommendation

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

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

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

Graph convolutional neural network for multirelational link prediction

Representation learning for link prediction within social networks

Poincaré Embedding (unofficial)

Code for the paper "VirTex: Learning Visual Representations from Textual Annotations"

Representation-Learning-on-Heterogeneous-Graph

Python library for knowledge graph embedding and representation learning.

Implementation of VLAE

Hierarchy-based Image Embeddings for Semantic Image Retrieval

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

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

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition