There are 28 repositories under representation-learning topic.
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.
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Self-Supervised Speech Pre-training and Representation Learning Toolkit.
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
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Unsupervised Feature Learning via Non-parametric Instance Discrimination
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
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
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
Python library for knowledge graph embedding and representation learning.
Keras implementation of Representation Learning with Contrastive Predictive Coding
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
Code for CodeT5: a new code-aware pre-trained encoder-decoder model.
Graph convolutional neural network for multirelational link prediction
LibCity: An Open Library for Urban Spatio-temporal Data Mining
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Contrastive Predictive Coding for Automatic Speaker Verification
SMORe: Modularize Graph Embedding for Recommendation