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Hi!
In the original paper implementation they are using dims `[1:]` : `x = x_padded[1:].view_as(x)` [their code](https://github.com/kimiyoung/transformer-xl/blob/master/pytorch/mem_transformer.py#L20…
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At the moment, scipy is used in eeyore to sample from a truncated normal proposal. Add a native PyTorch implementation of sampling from a truncated normal based on
- section 2.2 of [this paper](htt…
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Thank for your code.
I want to train this model with my dataset, and could i use this model for my image, I have a dataset with pairs of original image and noisy image, noisy images have some kind of…
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Hi, i am interested in your non-differentiable objectives experiments using MeZO, but i don't find the dataset class and prompt template of SST-5, SNLI, TREC datasets. Can you share the dataset cla…
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Can you implement the paper API?
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Hi @zjwang21, Thanks for the implementation, but I curious to know what is the accuracy of your model implementation, in MP-BERT paper author mentioned to get 70 % accuracy of phoneme and sub-phoneme …
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In the original paper (https://arxiv.org/abs/1506.02640) the authors are using two fully connected layers for the "neck" layer, but I can’t find them in this implementation.
Instead the neck in th…
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Hi! I read your paper and I'm wondering to test your proposed method. Is it possible for you to share the implementation codes? Thanks!
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Your paper is quite interesting, and thank you very much for providing the source code.
Can you perfect the README part with more implementation details? This will be of great help to those of us who…
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Hello! At first, I want to say thank you for such a wonderful paper!
After implementation things from the paper I still have a number of questions related to realisation.
Are you going to open-sour…