106 Open source projects that are alternatives of or similar to info-nce-pytorch

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

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

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

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

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

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

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

Official implementation for "Image Quality Assessment using Contrastive Learning"

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

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

List of Publications in Graph Contrastive Learning

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

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

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

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

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.

Official PyTorch implementation of Contrastive Learning of Musical Representations

official implemntation for "Contrastive Learning with Stronger Augmentations"

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

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

Generalized Deep Metric Learning.

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

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

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

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

Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.

PyTorch Implementation on Paper [CVPR2021]Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

Code for EMNLP 2021 paper "Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization"

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

CLIP (Contrastive Language–Image Pre-training) for Italian

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

Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".

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

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Siamese and triplet networks with online pair/triplet mining in PyTorch

Writer independent offline signature verification using convolutional siamese networks

An open source implementation of CLIP.

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Awesome Graph Self-Supervised Learning

Code and resources on scalable and efficient Graph Neural Networks

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

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

One Person, One Model, One World: Learning Continual User Representation without Forgetting

supervised and semi-supervised image classification with self-supervision (Keras)

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

Official codes: Self-Supervised Learning by Estimating Twin Class Distribution

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

Detect (classify and localize) people, pets and objects using millimeter-wave radar.

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

Implementation of Barlow Twins paper

Neural Relation Understanding: neural cardinality estimators for tabular data

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.

Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482