344 Open source projects that are alternatives of or similar to PIC

official implemntation for "Contrastive Learning with Stronger Augmentations"

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

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

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

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

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

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

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

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

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

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

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

Generalized Deep Metric Learning.

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

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

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

Awesome Graph Self-Supervised Learning

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

Neural Relation Understanding: neural cardinality estimators for tabular data

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

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

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

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

Official PyTorch implementation of Contrastive Learning of Musical Representations

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

List of Publications in Graph Contrastive Learning

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

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.

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

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

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

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

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Machine Learning Course @ Santa Clara University

Chainer implementation of deep-INFOMAX

PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，BEiT，MAE等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

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

Model for learning document embeddings along with their uncertainties

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

Official implementation for "Image Quality Assessment using Contrastive Learning"

Whitening for Self-Supervised Representation Learning | Official repository

Tensorflow Implementation on Paper [BMVC2018]Deep Association Learning for Unsupervised Video Person Re-identification

The codebase for "Group-wise Contrastive Learning for Neural Dialogue Generation" (Cai et al., Findings of EMNLP 2020)

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

Model-Contrastive Federated Learning (CVPR 2021)

Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection, AAAI 2021.

Self-supervised Spatiotemporal Learning via Video Clip Order Prediction

Code for the paper "Contrastive Learning Inverts the Data Generating Process".

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

A library for graph deep learning research

Pytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.

FisheyeDistanceNet

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

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

Ladder Variational Autoencoders (LVAE) in PyTorch