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The Wayback Machine - https://web.archive.org/web/20200812013347/https://github.com/topics/representation-learning
#
representation-learning
Here are
267 public repositories
matching this topic...
A curated list of network embedding techniques.
Updated
Aug 11, 2020
Python
Datasets, tools, and benchmarks for representation learning of code.
Updated
Aug 11, 2020
Jupyter Notebook
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Updated
Jul 27, 2020
Jupyter Notebook
GraphVite: A General and High-performance Graph Embedding System
A collection of research on knowledge graphs
Updated
Aug 6, 2020
JavaScript
Unsupervised Feature Learning via Non-parametric Instance Discrimination
Updated
Sep 3, 2018
Python
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Updated
Jul 3, 2020
Jupyter Notebook
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Updated
Aug 5, 2019
Python
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Updated
Jul 6, 2020
Jupyter Notebook
SCAN: Learning to Classify Images without Labels (ECCV 2020)
Updated
Jul 22, 2020
Python
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Updated
May 31, 2020
Python
Keras implementation of Representation Learning with Contrastive Predictive Coding
Updated
Jun 19, 2019
Python
Experiments for understanding disentanglement in VAE latent representations
Updated
Nov 29, 2019
Python
Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
Updated
Jul 20, 2020
MATLAB
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"
Updated
Jun 29, 2018
Python
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
Updated
Dec 30, 2019
Python
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Graph convolutional neural network for multirelational link prediction
Updated
Aug 6, 2020
Jupyter Notebook
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
Updated
Sep 4, 2018
Jupyter Notebook
Code for the paper "VirTex: Learning Visual Representations from Textual Annotations"
Updated
Aug 9, 2020
Python
Poincaré Embedding (unofficial)
Representation-Learning-on-Heterogeneous-Graph
Python library for knowledge graph embedding and representation learning.
Updated
Aug 6, 2020
Python
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
Updated
Jul 24, 2020
Python
Updated
Dec 21, 2017
Python
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
Updated
Jul 25, 2020
Python
Hierarchy-based Image Embeddings for Semantic Image Retrieval
Updated
Apr 14, 2020
Python
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