A curated list of network embedding techniques.

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

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

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

GraphVite: A General and High-performance Graph Embedding System

A collection of research on knowledge graphs

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

Unsupervised Feature Learning via Non-parametric Instance Discrimination

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

SCAN: Learning to Classify Images without Labels (ECCV 2020)

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

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

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

Keras implementation of Representation Learning with Contrastive Predictive Coding

Experiments for understanding disentanglement in VAE latent representations

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

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

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"

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

Graph convolutional neural network for multirelational link prediction

The S3PRL speech toolkit: self-supervised pre-training and representation learning of Mockingjay, TERA, A-ALBERT, APC, and more to come. With easy-to-use standard downstream evaluation scripts including phone classification, speaker recognition, and ASR. (All in Pytorch!)

Representation-Learning-on-Heterogeneous-Graph

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

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

Representation learning for link prediction within social networks

Python library for knowledge graph embedding and representation learning.

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

Poincaré Embedding (unofficial)

Implementation of VLAE