151 Open source projects that are alternatives of or similar to PC3-pytorch

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

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

Implementation of VLAE

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

representation learning on attributed graphs

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

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

Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning

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

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

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

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

Contrastive Predictive Coding for Automatic Speaker Verification

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

Solve optimal control problems for musculoskeletal models using OpenSim and direct collocation.

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

A curated list of network embedding techniques.

ICE: Item Concept Embedding

Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)

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

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

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

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

A word2vec port for Windows.

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

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

GraphVite: A General and High-performance Graph Embedding System

Representation learning for link prediction within social networks

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

An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

Poincaré Embedding (unofficial)

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!

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

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

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

Semantic Entity Retrieval Toolkit

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

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

Hierarchy-based Image Embeddings for Semantic Image Retrieval

A package for Multiple Kernel Learning in Python

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

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

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

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

🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

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

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

Compressing Representations for Self-Supervised Learning

Awesome Transformers (self-attention) in Computer Vision

Gradients as Features for Deep Representation Learning

Official code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].

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

Open Source Optimization of Dynamic Multidisciplinary Systems

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

A library for using direct collocation in the optimization of dynamic systems.

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

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