224 Open source projects that are alternatives of or similar to object-aware-contrastive

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

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

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

Official code for "Mean Shift for Self-Supervised Learning"

Generalized Deep Metric Learning.

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

Code for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".

Awesome Graph Self-Supervised Learning

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

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

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

PyTorch implementation of the InfoNCE loss for self-supervised learning.

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Official PyTorch implementation of Contrastive Learning of Musical Representations

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

A curated list of awesome graph & self-supervised-learning-based recommendation.

List of Publications in Graph Contrastive Learning

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

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

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

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

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Whitening for Self-Supervised Representation Learning | Official repository

official implemntation for "Contrastive Learning with Stronger Augmentations"

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

Representation learning for link prediction within social networks

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

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

[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

Contrastive Predictive Coding for Automatic Speaker Verification

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

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

Poincaré Embedding (unofficial)

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

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!

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

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

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

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

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

Semantic Entity Retrieval Toolkit

[ICRA 2020] Train generalizable policies for kit assembly with self-supervised dense correspondence learning.

A curated list of network embedding techniques.

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

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

Hierarchy-based Image Embeddings for Semantic Image Retrieval

ICE: Item Concept Embedding

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

A package for Multiple Kernel Learning in Python

Implementation of VLAE

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

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