The Wayback Machine - https://web.archive.org/web/20220629075036/https://github.com/topics/contrastive-learning
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267 public repositories
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The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Updated
Jun 9, 2022
Python
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
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May 26, 2022
Jupyter Notebook
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
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Jun 18, 2022
Python
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
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Jun 28, 2022
Python
(CVPR 2021 Oral) Open World Object Detection
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Dec 22, 2021
Python
Code for ALBEF: a new vision-language pre-training method
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Apr 25, 2022
Python
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
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Feb 9, 2022
Python
PyGCL: A PyTorch Library for Graph Contrastive Learning
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Apr 27, 2022
Python
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
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Oct 28, 2020
Python
ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
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Mar 31, 2022
Python
A concise but complete implementation of CLIP with various experimental improvements from recent papers
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Jun 23, 2022
Python
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
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May 27, 2022
Python
Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
Updated
Jun 14, 2022
Python
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!
Updated
Jun 9, 2022
Python
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
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Apr 26, 2022
Python
A curated list for awesome self-supervised learning for graphs.
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021
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Oct 24, 2021
Python
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
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Jun 22, 2022
Python
Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
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Jun 8, 2022
Python
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
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Feb 24, 2021
Python
[CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning
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Jun 27, 2022
Python
A list of contrastive Learning papers
Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch
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Feb 2, 2021
Python
A Contrastive Framework for Neural Text Generation
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Jun 25, 2022
Python
Code for the paper "Contrastive Clustering" (AAAI 2021)
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Jul 13, 2021
Python
Official PyTorch implementation of Contrastive Learning of Musical Representations
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Nov 12, 2021
Python
Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)
Updated
Oct 26, 2021
Python
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Add default parameters for all projection heads
It's helpful to know what the default parameters were in the papers to get started. We should add the default projection head parameters which were used for pre-training on Imagenet to all projection and prediction heads in
lightly/models/modules/heads.py.