121 Open source projects that are alternatives of or similar to DisCont

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

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

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

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

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

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

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

official implemntation for "Contrastive Learning with Stronger Augmentations"

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

Official implementation for "Image Quality Assessment using Contrastive Learning"

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

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.

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

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

Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch

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

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

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

List of Publications in Graph Contrastive Learning

Generalized Deep Metric Learning.

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

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

[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

[CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification

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

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 pytorch implementation of "Scaling-up Disentanglement for Image Translation", ICCV 2021.

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*

Simple Keras implementation of Triplet-Center Loss on the MNIST dataset

Neural Relation Understanding: neural cardinality estimators for tabular data

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

Open Set Recognition

Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)

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

PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video

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

Deep active inference agents using Monte-Carlo methods

Code for our EACL-2021 paper "Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs".

Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021

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

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

Parametric Contrastive Learning (ICCV2021)

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

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

Writer independent offline signature verification using convolutional siamese networks

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

An open source implementation of CLIP.

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

[ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

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

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

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

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

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

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

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