representation-learning

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

Reading list for research topics in multimodal machine learning

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

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.

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

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

A collection of research on knowledge graphs

The implementation of DeBERTa

GraphVite: A General and High-performance Graph Embedding System

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

A comprehensive list of awesome contrastive self-supervised learning papers.

Awesome Graph Self-Supervised Learning

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

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

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Code for ALBEF: a new vision-language pre-training method

Experiments for understanding disentanglement in VAE latent representations

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

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

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

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

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

Keras implementation of Representation Learning with Contrastive Predictive Coding

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

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

Python library for knowledge graph embedding and representation learning.

Code for CodeT5: a new code-aware pre-trained encoder-decoder model.

Graph convolutional neural network for multirelational link prediction