torch-light
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ne7ermore
Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.
https://github.com/ne7ermore/torch-light/blob/master/vae-nlg/train.py#L20 the data parameter seems is the directory of a model, but there is only two corpus and a w2v Thx
Game - 104 | data length - 21 kl - nan | lr_multiplier - 2.25 | loss - nan ---------------------------------------------------------------------------------------------------- Traceback (most recent call last): File "train.py", line 125, in...
报错
 您好，LSTM-CNNS-CRF中，运行train.py，报错RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long; but got torch.IntTensor instead (while checking arguments for embedding)。显示是model（word，char，label）的问题
Hi, I was going through your Deep SRL code which is the implementation of the paper Deep Semantic Role Labeling: What Works and What’s Next and i couldn't locate the...
https://github.com/ne7ermore/torch-light/tree/master/Image-Cap Hi @ne7ermore, I found this code very educational. Thank you. But, I do not have a GPU. When I run train.py on a CPU, the estimated time of training...
wait- your deep-srl model is for NER task? and I didnt see the viterbi hard constraint part?
Hi ne7ermore, Thank you a lot for your code sharing. I was running your retrieval chatbot code train.py and encountered the following error: Traceback (most recent call last): File "train.py",...
Hi, I'm reading this code for study and it helps me a lot. I'm confused by this line: https://github.com/ne7ermore/torch-light/blob/254c1333eef5ee35a1b5e036f267b81ddad17f96/BERT/model.py#L74 from the source paper of BERT, I've not found any description...
