kuhanw

Sometimes failing to detect multiple columns

2

----------------------- ### Environment v5.0.0 alpha Windows 10-64 bit ### Current Behavior: I have two very similar documents seen here and here: In the former, Tesseract with psm=1 parses out two...

mini-batch loss, how low is low enough?

2

Hi all, I have been trying to duplicate the level of quality seen on the example page for the Cornell Movie dialogue and I am wondering how low have you...

Hi, Thank you for the code, I read the paper and I am interested in applying this model to a large scale bipartite graph with side features for each node....

generating P(T) for Anti-LM

2

Hi all, I am trying to understand the implementation of the anti-LM model, in particular the meaning of this line: line 128: all_prob_t = model_step(dummy_encoder_inputs, cand['dec_inp'], dptr, target_weights, bucket_id) where...

AAPL dividend data is sometimes missing when using download or historical function?

3

I have noticed today that the dividends are not always correctly retrieved. What is frustrating is I can't reproduce it consistently. Right now when I try to retrieve AAPL's historical...

getting embeddings in unsupervised mode

1

Hello, I noticed that the process of getting embeddings in unsupervised mode essentially involves feeding self-loops to the model, i.e. inputs1==inputs2 as seen in incremental_embed_feed_dict. How then does one generalize...

pygpu.gpuarray.GpuArrayException: out of memory on small corpus

1

Dear experts, I have encountered a memory issue while attempting to train a 1 million sentence corpus using the skip thought model. In the paper, the model was trained on...

Are sentence vectors accessible from the trained model?

1

Dear experts, I recently stumbled upon the Skip-Thought paper and found it extremely interesting. I have managed to train a small model using some 2.7 million sentences for testing purposes....

Increasing max sequence length and vocab size

1

Dear experts, Thank you for this excellent tutorial. This is one of the first seq2seq tutorials I have read that has really helped me to internalize some of the concepts...