136 Open source projects that are alternatives of or similar to Poincare Embedding

A word2vec port for Windows.

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

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

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

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

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

A collection of research on knowledge graphs

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

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

ICE: Item Concept Embedding

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

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

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

representation learning on attributed graphs

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

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

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

Python implementation of bag-of-concepts

Implementation of VLAE

Unsupervised Feature Learning via Non-parametric Instance Discrimination

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

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

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

Keras implementation of Representation Learning with Contrastive Predictive Coding

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

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

SMORe: Modularize Graph Embedding for Recommendation

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

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

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

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

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

Compressing Representations for Self-Supervised Learning

Hierarchy-based Image Embeddings for Semantic Image Retrieval

Gradients as Features for Deep Representation Learning

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!

GraphVite: A General and High-performance Graph Embedding System

Awesome Transformers (self-attention) in Computer Vision

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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

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

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

The implementation of DeBERTa

Semantic Entity Retrieval Toolkit

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

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

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

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

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

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

Experiments for understanding disentanglement in VAE latent representations

A package for Multiple Kernel Learning in Python

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

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

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

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

A curated list of network embedding techniques.

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

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

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