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Search results for python contrastive learning

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226 search results found

Lightly ⭐ 2,665

A python library for self-supervised learning on images.

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]

Similarity ⭐ 979

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

Min_max_similarity ⭐ 949

A contrastive learning based semi-supervised segmentation network for medical image segmentation

Coca Pytorch ⭐ 900

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

(CVPR 2021 Oral) Open World Object Detection

Recsyspapers ⭐ 801

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

Internvideo ⭐ 736

InternVideo: General Video Foundation Models via Generative and Discriminative Learning (https://arxiv.org/abs/2212.03191)

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR23).

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

A concise but complete implementation of CLIP with various experimental improvements from recent papers

Quaterion ⭐ 580

Blazing fast framework for fine-tuning similarity learning models

Openmixup ⭐ 538

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

Efficient Gnns ⭐ 490

Code and resources on scalable and efficient Graph Neural Networks

Contrastiveseg ⭐ 487

ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Graphcl ⭐ 417

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

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.

Unsupervised Semantic Segmentation ⭐ 291

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

[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

LibAUC: A Deep Learning Library for X-Risk Optimization

Gradcache ⭐ 254

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint

Official PyTorch implementation of Contrastive Learning of Musical Representations

[NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021

Batchformer ⭐ 210

CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522

Contrastivecrop ⭐ 202

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

Contrastive Clustering ⭐ 181

Code for the paper "Contrastive Clustering" (AAAI 2021)

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

This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach' (In Proc. of NAACL-HLT 2021).

code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022

C2AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation (CVPR 2022)

Contrad ⭐ 142

Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)

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

Promcse ⭐ 126

Code for "Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning (EMNLP 2022)"

Sapbert ⭐ 117

[NAACL'21 & ACL'21] SapBERT: Self-alignment pretraining for BERT & XL-BEL: Cross-Lingual Biomedical Entity Linking.

Language_modeling_via_stochastic_processes ⭐ 116

Language modeling via stochastic processes. Oral @ ICLR 2022.

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

Social Nce ⭐ 108

[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.

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

Self-Supervised Learning in PyTorch

Official Pytorch implementation of CCPL and SCTNet (ECCV2022, Oral)

Model-Contrastive Federated Learning (CVPR 2021)

Pixel Level Contrastive Learning ⭐ 95

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

Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

Re Context Or Names ⭐ 88

Bert-based models(BERT, MTB, CP) for relation extraction.

The official code of CornerTransformer (ECCV 2022, Oral) on top of MMOCR.

Mammut Pytorch ⭐ 85

Implementation of MaMMUT, a simple vision-encoder text-decoder architecture for multimodal tasks from Google, in Pytorch

The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"

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

Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

Contrique ⭐ 79

Official implementation for "Image Quality Assessment using Contrastive Learning"

The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast" [ICLR 2022].

Code for the paper Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language

(NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping

Patchmix ⭐ 68

The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"

Semimtr Text Recognition ⭐ 68

Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)

Two Stage Knowledge For Multiple Adverse Weather Removal ⭐ 65

[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model

Driver Anomaly Detection ⭐ 64

PyTorch Implementation of "Driver Anomaly Detection: A Dataset and Contrastive Learning Approach", codes and pretrained models.

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning (NAACL 2022)

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

FlatNCE: A Novel Contrastive Representation Learning Objective

[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

Mirror Bert ⭐ 56

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

Official Implementation of PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation

Heaputil ⭐ 53

Code for the RA-L (IROS) 2021 paper "A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition"

Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

Query Selected Attention ⭐ 51

Official implementation for "QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation" (CVPR 2022)

Revisiting Contrastive Ssl ⭐ 51

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

Unicon Noisy Label ⭐ 50

Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"

Clcc Cvpr21 ⭐ 50

An official TensorFlow implementation of “CLCC: Contrastive Learning for Color Constancy” accepted at CVPR 2021.

PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022

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

Official implementation for CVPR2023 Paper "Re-IQA : Unsupervised Learning for Image Quality Assessment in the Wild"

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

CVC: Contrastive Learning for Non-parallel Voice Conversion (INTERSPEECH 2021, in PyTorch)

Modulated Contrast for Versatile Image Synthesis [CVPR 2022]

The official implementation of "Asymmetric Patch Sampling for Contrastive Learning"

Latentclr ⭐ 40

Repository for LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions, ICCV 2021

Collections of self-supervised methods, based on cvpods.

Seqmatchnet ⭐ 40

Code for the CoRL 2021 paper "SeqMatchNet: Contrastive Learning with Sequence Matching for Place Recognition \& Relocalization"

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

[EMNLP 2022] This is the code repo for our EMNLP‘22 paper "COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning".

Protoclip ⭐ 38

📍 Official pytorch implementation of ProtoCLIP in paper Prototypical Contrastive Language Image Pretraining (IEEE TNNLS)

An easy-to-use tool for phrase encoding and topic mining (unsupervised aspect extraction); Code base for ACL 2022 paper, UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining.

Contrast Phys ⭐ 36

[ECCV 2022] Contrast-Phys/Contrast-Phys+

Cvpr2022 Ftcl ⭐ 36

[CVPR 2022] Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization

PyTorch implementation of ICML 2023 paper "SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation"

Condigsum ⭐ 35

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

[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.

Coarse3d ⭐ 35

COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)

Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

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

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