Top 137 representation-learning open source projects

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

Representation learning for link prediction within social networks

Contrastive Predictive Coding for Automatic Speaker Verification

Poincaré Embedding (unofficial)

Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

A curated list of network embedding techniques.

Hierarchy-based Image Embeddings for Semantic Image Retrieval

Implementation of VLAE

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

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

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

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

Awesome Transformers (self-attention) in Computer Vision

Deforming kernels to adapt towards object deformation. In ICLR 2020.

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

Multi-object image datasets with ground-truth segmentation masks and generative factors.

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

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

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

Semantic Entity Retrieval Toolkit

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

ConMask model described in paper Open-world Knowledge Graph Completion.

ICE: Item Concept Embedding

A package for Multiple Kernel Learning in Python

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

📜 Self-Supervised Learning from Images: Up-to-date reading list.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

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

representation learning on attributed graphs

Compressing Representations for Self-Supervised Learning

A word2vec port for Windows.

Gradients as Features for Deep Representation Learning

Multilingual Meta-Embeddings for Named Entity Recognition (RepL4NLP & EMNLP 2019)

GraphVite: A General and High-performance Graph Embedding System

A collection of research on knowledge graphs

Python implementation of bag-of-concepts

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

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

The implementation of DeBERTa

Unsupervised Feature Learning via Non-parametric Instance Discrimination

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

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

Self-Supervised Speech Pre-training and Representation Learning Toolkit.

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

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

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

Experiments for understanding disentanglement in VAE latent representations

Keras implementation of Representation Learning with Contrastive Predictive Coding