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The Top 352 Representation Learning Open Source Projects on Github

Categories > Machine Learning > Representation Learning
Transferlearning ⭐ 8,356
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Simclr ⭐ 2,671
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Awesome Multimodal Ml ⭐ 2,557
Reading list for research topics in multimodal machine learning
Awesome Network Embedding ⭐ 2,218
A curated list of network embedding techniques.
Ampligraph ⭐ 1,594
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Codesearchnet ⭐ 1,446
Datasets, tools, and benchmarks for representation learning of code.
Knowledge Graphs ⭐ 1,000
A collection of research on knowledge graphs
S3prl ⭐ 929
Self-Supervised Speech Pre-training and Representation Learning Toolkit.
Graphvite ⭐ 831
GraphVite: A General and High-performance Graph Embedding System
Unsupervised Classification ⭐ 799
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Deberta ⭐ 782
The implementation of DeBERTa
Simclr ⭐ 749
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Awesome Contrastive Self Supervised Learning ⭐ 590
A comprehensive list of awesome contrastive self-supervised learning papers.
Modelsgenesis ⭐ 505
Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
Lemniscate.pytorch ⭐ 467
Unsupervised Feature Learning via Non-parametric Instance Discrimination
Robotics Rl Srl ⭐ 455
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Awesome Vaes ⭐ 448
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Disentangling Vae ⭐ 407
Experiments for understanding disentanglement in VAE latent representations
Simclr ⭐ 393
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
Vl Bert ⭐ 371
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Self Label ⭐ 350
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
Paddlehelix ⭐ 336
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Smore ⭐ 323
SMORe: Modularize Graph Embedding for Recommendation
Gatne ⭐ 322
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
Pykg2vec ⭐ 294
Python library for knowledge graph embedding and representation learning.
Decagon ⭐ 277
Graph convolutional neural network for multirelational link prediction
Contrastive Predictive Coding ⭐ 269
Keras implementation of Representation Learning with Contrastive Predictive Coding
Swem ⭐ 261
The Tensorflow code for this ACL 2018 paper: "Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms"
Bigscity Libcity ⭐ 247
LibCity: An Open Library for Traffic Prediction
Codet5 ⭐ 246
Code for CodeT5: a new code-aware pre-trained encoder-decoder model.
Declutr ⭐ 245
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!
Ast ⭐ 235
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
Pcl ⭐ 235
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
Good Papers ⭐ 231
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
Link Prediction ⭐ 216
Representation learning for link prediction within social networks
Poincare Embedding ⭐ 212
Poincaré Embedding (unofficial)
Awesome Visual Representation Learning With Transformers ⭐ 209
Awesome Transformers (self-attention) in Computer Vision
Semantic Embeddings ⭐ 206
Hierarchy-based Image Embeddings for Semantic Image Retrieval
Pass ⭐ 202
The PASS dataset: pretrained models and how to get the data
Albef ⭐ 201
Code for ALBEF: a new vision-language pre-training method
Variational Ladder Autoencoder ⭐ 198
Implementation of VLAE
Unsupervised Semantic Segmentation ⭐ 181
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
Representation Learning On Heterogeneous Graph ⭐ 178
Representation-Learning-on-Heterogeneous-Graph
Stylealign ⭐ 173
[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition
Causal Ml ⭐ 151
Must-read papers and resources related to causal inference and machine (deep) learning
Vae_vampprior ⭐ 151
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
Sigir2020_peterrec ⭐ 144
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
Featdepth ⭐ 143
This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".
Role2vec ⭐ 143
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Mixstyle Release ⭐ 131
Domain Generalization with MixStyle. ICLR'21.
Kate ⭐ 130
Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
Jodie ⭐ 128
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
Attribute Aware Attention ⭐ 124
[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
Multibench ⭐ 114
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
Parametricumap_paper ⭐ 112
Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).
Contrastive Predictive Coding Pytorch ⭐ 109
Contrastive Predictive Coding for Automatic Speaker Verification
M Nmf ⭐ 109
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
Hyte ⭐ 103
EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
Sigver_wiwd ⭐ 100
Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.
Conditional Motion Propagation ⭐ 99
Code for our CVPR 2019 work.
Srl Zoo ⭐ 98
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
Codeslam ⭐ 97
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
Deformable Kernels ⭐ 95
Deforming kernels to adapt towards object deformation. To appear in ICLR 2020.
Pytorch Byol ⭐ 94
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Pytorch Agnn ⭐ 94
Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
Multi_object_datasets ⭐ 93
Multi-object image datasets with ground-truth segmentation masks and generative factors.
Autoregressive Predictive Coding ⭐ 87
Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning
Sert ⭐ 85
Semantic Entity Retrieval Toolkit
Vfs ⭐ 84
Rethinking Self-Supervised Correspondence Learning: A Video Frame-level Similarity Perspective, in ICCV 2021 (Oral)
Ice ⭐ 81
ICE: Item Concept Embedding
Self Supervised Learning Overview ⭐ 77
📜 Self-Supervised Learning from Images: Up-to-date reading list.
Conmask ⭐ 77
ConMask model described in paper Open-world Knowledge Graph Completion.
Cpnet ⭐ 73
Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)
Asne ⭐ 73
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
Entity Embed ⭐ 70
PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
Mklpy ⭐ 69
A package for Multiple Kernel Learning in Python
Evalne ⭐ 69
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
Batter Pitcher 2vec ⭐ 67
A model for learning distributed representations of MLB players.
Egonet ⭐ 65
Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"
Game Feature Learning ⭐ 65
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery, CVPR'18
Autoencoders_tensorflow ⭐ 65
Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.
Dna Gan ⭐ 64
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
Gib ⭐ 64
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
Dogtorch ⭐ 64
Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf
Graphml Tutorials ⭐ 63
Tutorials for Machine Learning on Graphs
Deep Learning For Clustering In Bioinformatics ⭐ 62
Deep Learning-based Clustering Approaches for Bioinformatics
Mgbdt ⭐ 62
This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
Social Nce ⭐ 61
[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.
Simclr Pytorch ⭐ 61
PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
Pointglr ⭐ 60
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)
Transforming Autoencoder Tf ⭐ 59
Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)
Reprieve ⭐ 59
A library for evaluating representations.
Graph_2d_cnn ⭐ 59
Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks'
Flatclr ⭐ 58
FlatNCE: A Novel Contrastive Representation Learning Objective
Hicmd ⭐ 56
[CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
T2vec ⭐ 55
t2vec: Deep Representation Learning for Trajectory Similarity Computation
Pcc Pytorch ⭐ 55
A pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"
Regal ⭐ 54
Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings
Pair2vec ⭐ 53
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
Vae_householder_flow ⭐ 53
Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
1-100 of 352 projects

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Advertising 📦 9
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Applications 📦 181
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Code Quality 📦 28
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Command Line Interface 📦 48
Community 📦 81
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Compilers 📦 60
Computer Science 📦 74
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Content Management 📦 167
Control Flow 📦 197
Data Formats 📦 77
Data Processing 📦 266
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Economics 📦 60
Frameworks 📦 198
Games 📦 122
Graphics 📦 103
Hardware 📦 148
Integrated Development Environments 📦 47
Learning Resources 📦 147
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Libraries 📦 119
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Mapping 📦 61
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Messaging 📦 97
Networking 📦 304
Operating Systems 📦 84
Operations 📦 120
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Science 📦 42
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Software Quality 📦 127
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User Interface Components 📦 465
Version Control 📦 29
Virtualization 📦 68
Web Browsers 📦 38
Web Servers 📦 25
Web User Interface 📦 194
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