Topic: contrastive-learning Goto Github
Some thing interesting about contrastive-learning
Some thing interesting about contrastive-learning
contrastive-learning,Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
Organization: adaptivemotorcontrollab
Home Page: https://cebra.ai
contrastive-learning,CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
Organization: alinlab
Home Page: https://arxiv.org/abs/2007.08176
contrastive-learning,A contrastive learning based semi-supervised segmentation network for medical image segmentation
User: angeloucn
contrastive-learning,Code and resources on scalable and efficient Graph Neural Networks
User: chaitjo
Home Page: https://www.chaitjo.com/post/efficient-gnns/
contrastive-learning,A list of contrastive Learning papers
Organization: contrastivesr
contrastive-learning,[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
Organization: cripac-dig
contrastive-learning,This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR23).
User: dailenson
contrastive-learning,[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
User: emadeldeen24
contrastive-learning,SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Organization: google-research
Home Page: https://arxiv.org/abs/2006.10029
contrastive-learning,[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
User: haochen-wang409
contrastive-learning,[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
User: hkuds
Home Page: https://arxiv.org/abs/2308.05697
contrastive-learning,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!
User: johngiorgi
Home Page: https://aclanthology.org/2021.acl-long.72/
contrastive-learning,(CVPR 2021 Oral) Open World Object Detection
User: josephkj
Home Page: https://josephkj.in
contrastive-learning,The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
User: kevinmusgrave
Home Page: https://kevinmusgrave.github.io/pytorch-metric-learning/
contrastive-learning,A python library for self-supervised learning on images.
Organization: lightly-ai
Home Page: https://docs.lightly.ai/self-supervised-learning/
contrastive-learning,Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
User: lucidrains
contrastive-learning,A concise but complete implementation of CLIP with various experimental improvements from recent papers
User: lucidrains
contrastive-learning,Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint
User: luyug
contrastive-learning,Self-supervised contrastive learning for time series via time-frequency consistency
Organization: mims-harvard
Home Page: https://zitniklab.hms.harvard.edu/projects/TF-C/
contrastive-learning,CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
User: mishalaskin
contrastive-learning,Train Models Contrastively in Pytorch
Organization: nomic-ai
contrastive-learning,[ECCV2024] Video Foundation Models & Data for Multimodal Understanding
Organization: opengvlab
contrastive-learning,LibAUC: A Deep Learning Library for X-Risk Optimization
Organization: optimization-ai
Home Page: https://libauc.org/
contrastive-learning,PyGCL: A PyTorch Library for Graph Contrastive Learning
Organization: pygcl
Home Page: https://PyGCL.readthedocs.io
contrastive-learning,Blazing fast framework for fine-tuning similarity learning models
Organization: qdrant
Home Page: https://quaterion.qdrant.tech/
contrastive-learning,PyTorch implementation of the InfoNCE loss for self-supervised learning.
User: relbers
contrastive-learning,Paper List for Contrastive Learning for Natural Language Processing
User: ryanzhumich
contrastive-learning,Code for ALBEF: a new vision-language pre-training method
Organization: salesforce
contrastive-learning,PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
Organization: salesforce
contrastive-learning,[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
User: shen-lab
contrastive-learning,Official PyTorch implementation of Contrastive Learning of Musical Representations
User: spijkervet
Home Page: https://arxiv.org/abs/2103.09410
contrastive-learning,PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
User: spijkervet
contrastive-learning,A curated list for awesome self-supervised learning for graphs.
User: sxkdz
contrastive-learning,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.
User: tangxyw
Home Page: https://tangxyw.github.io/
contrastive-learning,TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Organization: tensorflow
contrastive-learning,ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
User: tfzhou
contrastive-learning,GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
Organization: thudm
contrastive-learning,[NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"
Organization: ucsc-vlaa
contrastive-learning,Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️
Organization: unum-cloud
Home Page: https://unum-cloud.github.io/uform/
contrastive-learning,code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022
Organization: uta-smile
contrastive-learning,Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"
User: voidism
Home Page: https://arxiv.org/abs/2204.10298
contrastive-learning,solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
User: vturrisi
contrastive-learning,CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
Organization: westlake-ai
Home Page: https://openmixup.readthedocs.io
contrastive-learning,SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
User: wvangansbeke
Home Page: https://arxiv.org/abs/2005.12320
contrastive-learning,Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
User: wvangansbeke
contrastive-learning,[CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning
User: xyupeng
contrastive-learning,Code for the paper "Contrastive Clustering" (AAAI 2021)
User: yunfan-li
contrastive-learning,[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
User: yxuansu
Home Page: https://arxiv.org/abs/2202.06417
contrastive-learning,Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
User: yzhuoning
contrastive-learning,Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021
User: zdaxie
Home Page: https://arxiv.org/abs/2011.10043
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.