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Search results for python self supervised learning

self-supervised-learning x

440 search results found

Transferlearning ⭐ 12,494

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

Lightly ⭐ 2,665

A python library for self-supervised learning on images.

Solider ⭐ 1,791

A Semantic Controllable Self-Supervised Learning Framework to learn general human representations from massive unlabeled human images, which can benefit downstream human-centric tasks to the maximum extent

A library for graph deep learning research

Byol Pytorch ⭐ 1,630

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

Easycv ⭐ 1,614

An all-in-one toolkit for computer vision

Awesome Self Supervised Gnn ⭐ 1,356

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

Spark ⭐ 1,355

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

Solo Learn ⭐ 1,318

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

Unsupervised Classification ⭐ 1,217

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

Vitpose ⭐ 950

The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [Arxiv'22] "ViTPose+: Vision Transformer Foundation Model for Generic Body Pose Estimation"

Videomae ⭐ 864

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Paddlehelix ⭐ 729

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

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

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

Awesome Deep Graph Clustering ⭐ 626

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

All-in-one Toolbox for Computer Vision Research.

Openmixup ⭐ 538

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

Densecl ⭐ 530

Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.

Self Label ⭐ 507

Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

Lemniscate.pytorch ⭐ 467

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Pytorch Dense Correspondence ⭐ 460

Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"

Openstl ⭐ 450

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

Manydepth ⭐ 440

[CVPR 2021] Self-supervised depth estimation from short sequences

Depth and Flow for Visual Odometry

Self Supervised Depth Completion ⭐ 418

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

Graphcl ⭐ 417

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

Imbalanced Semi Self ⭐ 393

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

EsViT: Efficient self-supervised Vision Transformers

Selflow ⭐ 371

SelFlow: Self-Supervised Learning of Optical Flow

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

Declutr ⭐ 349

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 code for "Prototypical Contrastive Learning of Unsupervised Representations"

Info Nce Pytorch ⭐ 335

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

Remote Sensing Rvsa ⭐ 331

The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"

Sc_depth_pl ⭐ 325

SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation Webpage:https://jiawangbian.github.io/sc_depth_pl/

Voice Conversion With Just Nearest Neighbors

Unsupervised Semantic Segmentation ⭐ 291

Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]

Accel Brain Code ⭐ 289

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language proces

Scenerf ⭐ 284

[ICCV 2023] Official implementation of "SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields"

Point Mae ⭐ 280

[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning

Problem Agnostic Speech Encoder

LibAUC: A Deep Learning Library for X-Risk Optimization

Graphmae ⭐ 253

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

Freesolo ⭐ 253

FreeSOLO for unsupervised instance segmentation, CVPR 2022

Official PyTorch implementation of Contrastive Learning of Musical Representations

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

The PASS dataset: pretrained models and how to get the data

Dsmil Wsi ⭐ 224

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

Paddlescience ⭐ 218

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

Contentvec ⭐ 214

speech self-supervised representations

Self Supervised Speech Recognition ⭐ 210

speech to text with self-supervised learning based on wav2vec 2.0 framework

Contrastivecrop ⭐ 202

[CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning

Sound Of Pixels ⭐ 200

Codebase for ECCV18 "The Sound of Pixels"

Cvpr 2023 Papers ⭐ 185

CVPR 2023 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. A star in the development of visual intelligence!

Self-Supervised Learning for OOD Detection (NeurIPS 2019)

Crosspoint ⭐ 179

Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

Awesome Mim ⭐ 178

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

Tadaconv ⭐ 177

[ICLR 2022] TAda! Temporally-Adaptive Convolutions for Video Understanding. This codebase provides solutions for video classification, video representation learning and temporal detection.

[ECCV 2018] DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency

Unsupervised Depth Completion Visual Inertial Odometry ⭐ 168

Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

Behindthescenes ⭐ 168

Official implementation of the paper: Behind the Scenes: Density Fields for Single View Reconstruction (CVPR 2023)

Official code for our ECCV'22 paper "A Fast Knowledge Distillation Framework for Visual Recognition"

Sentence Embedding Is All You Need ⭐ 165

Korean Sentence Embedding Repository

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

Hyperfuture ⭐ 152

Code for the paper Learning the Predictability of the Future (CVPR 2021)

Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)

Latent Pose Reenactment ⭐ 145

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

Featdepth ⭐ 143

This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".

Code for the AAAI 2022 paper "SSAST: Self-Supervised Audio Spectrogram Transformer".

Videomaev2 ⭐ 134

[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Point Cloud Prediction ⭐ 134

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

PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)

Lamda Ssl ⭐ 130

30 Semi-Supervised Learning Algorithms

This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

Greenmim ⭐ 129

[NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.

Data2vec Pytorch ⭐ 126

PyTorch implementation of "data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language" from Meta AI

[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.

This is the official repository for ICRA-2023 paper "STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation"

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

Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.

Make_it_dense ⭐ 119

Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments

Vts Drloc ⭐ 116

NeurIPS 2021, Official codes for "Efficient Training of Visual Transformers with Small Datasets".

Dsm Decoupling Scene Motion ⭐ 113

[AAAI2021] The source code for our paper 《Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion》.

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

Pillar Motion ⭐ 110

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction

Transmef ⭐ 106

Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework via Self-Supervised Multi-Task Learning.

Self Supervised ⭐ 106

Whitening for Self-Supervised Representation Learning | Official repository

Official repository for "Speaking Style Conversion With Discrete Self-Supervised Units" (EMNLP 2023). https://arxiv.org/abs/2212.09730

Bossnas ⭐ 104

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

Iccv_maet ⭐ 104

[ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.

[ICML2022] Contrastive Learning with Boosted Memorization

[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"

Self-Supervised Learning in PyTorch

Conditional Motion Propagation ⭐ 99

Code for our CVPR 2019 work.

Pixel Level Contrastive Learning ⭐ 95

Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

[ICLR 2023] Pytorch implementation of PPGeo, a fully self-supervised driving policy pre-training framework to learn from unlabeled driving videos.

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

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