Spijkervet/SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
PythonMIT
Issues
- 0
- 1
Code explanation in gather.py
#33 opened by littleredxh - 10
- 7
Multi GPU support is ... ornamental?
#37 opened by mbabadi - 0
- 0
No upscale in image augmentation?
#44 opened by vedantroy - 1
Issue about the NT_Xent loss
#43 opened by 980202006 - 1
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Some questions about the projection head.
#40 opened by ToaTao - 0
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Question about multi-gpu training
#38 opened by Allfu - 1
Hi spijkervet, when youreproduce the experiment on CIFAR, what is the image size and batch size you set?
#24 opened by LanXiaoPang613 - 1
normalize is not used in data augmentation
#25 opened by steermomo - 1
- 0
Features computed in def inference(loader, simclr_model, device) in linear_evaluation.py are changing everytime if we run the script again
#36 opened by yang-ruixin - 2
query regarding usage of TPU
#11 opened by ambekarsameer96 - 4
train on Imagenet
#14 opened by beyondpzk - 1
Is simclr's package model trained on cifar-10?
#32 opened by MiladInk - 0
Mistakes in linear_evaluation.py
#35 opened by q642936448 - 2
I got some problems when I was testing
#28 opened by dmndxld - 0
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CIFAR10 accuracy
#12 opened by MrChenFeng - 2
What is world_size in this case? NT_Xent seems to ask this as a default argument but it hasn't been provided in the code?
#22 opened by ajaykrishnan23 - 2
- 1
Logistic Regression Issue without "eval()"
#19 opened by jaeohwoo - 5
Why L2 norm then CosSim?
#15 opened by BoPang1996 - 2
inter-gpu communication
#13 opened by ShijianXu - 1
- 2
torch version
#10 opened by fourk-ty - 1
Issue loading mask_correlated_samples
#7 opened by Kabongosalomon - 1
Error when loading the datasets
#6 opened by Kabongosalomon - 3
About the Cifar-10 accuracy
#4 opened by jimmy-dq - 1
Small refactoring of your loss
#5 opened by lescientifik - 1