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from fixmatch-pytorch.
Thank you very much!
from fixmatch-pytorch.
Related Issues (20)
- set_epoch with DistributedSampler HOT 1
- total numer of iterations HOT 2
- Purpose of Interleave HOT 3
- Invalid syntax in train.py HOT 1
- Performance not reproduced
- The RandAugment Implementation Is Wrong HOT 3
- Wrong use of AverageMeter HOT 1
- Lack of seed during random labeled image selection may be leading to better performance on training resumption HOT 5
- train failed when EMA mode is off HOT 5
- No Validation Set HOT 1
- v divided by 2 problem in Cutout HOT 1
- Training time without distributed training? HOT 2
- Why the batch_size of CIFAR-100 set to 64 (total number over 4 GPU) ?
- FixMatch for Multi-class Classification
- All labeled examples are as part of unlabeled data without using their labels HOT 1
- Can't reproduce the result with single GPU
- why add a interleave before the input? HOT 3
- Poor Results on CIFAR-100 with Smaller Models (e.g., ResNet34, ResNet18)
- RuntimeError: "nll_loss_forward_reduce_cuda_kernel_2d_index" not implemented for 'Int'
- 每次加载训练好的模型,结果都不一样
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