seqence | Story-Skill Editor | Game Engine library

I need to use encoder-decoder structure to predict 2D trajectories. As almost all available tutorials are related to NLP -with sparse vectors-, I couldn't be sure about how to adapt the solutions to a continuous data.

In addition to my ignorance in seqence-to-sequence models, embedding process for words confused me more. I have a dataset that consists of 3,000,000 samples each having x-y coordinates (-1, 1) with 125 observations, which means the shape of each sample is (125, 2). I thought I could think of this as 125 words with 2 dimensional already embedded words, but the encoder and the decoder in this Keras Tutorial expect 3D arrays as (num_pairs, max_english_sentence_length, num_english_characters).

I doubt I need to train each sample (125, 2) separately with this model, as the way Google's search bar does with only one word written.

As far as I understood, an encoder is many-to-one type model and a decoder is one-to-many type model. I need to get a memory state c and a hiddenstate h as vectors(?). Then I should use those vectors as input to decoder and extract predictions in the shape of (x,y) as many as I determine as encoder output.

I'd be so thankful if someone could give an example of an encoder-decoder LSTM architecture over the shape of my dataset, especially in terms of dimensions required for encoder-decoder inputs and outputs, particulary on Keras model if possible.

I am trying to calculate big primes (for fun) on my computer. So far, I have got to a point where it can calculate the primes. However, I am wondering how I can store them and make it so that when the code restarts it continues where it left off. Here is my code:

Is there any problem when creating partitions of a table which has got seqence (nextval) as one of its field in postgresql 12?

Regards, Seenu.

I am currently writing a simple program in C as a learning exrcise. Unfortunately, I get segmentation error when I try to write out measured times to file. I have no idea what can cause that. I tried debugging it with gdb, but it made me even more confused as it show 'strtok' as the source of error. Below is code that I am using. I would be extremely grateful for any help.

main.c

I want to use GPT-2 to make a text classifier model. I am not really sure what head should I add after I extracted features through the GPT-2. for eample I have a sequence.

I'm trying to do some word-level text generation and stuck with the foloowing problem:

My input looks like this:

In python, it is possible to define a function taking an arbitrary number of positional arguments like so:

I need to use a certain program, to validate some of my results. I am relatively new in Python. The output is so different for each entry, see a snippit below:

I am doing a university project in Bioinformatics and have come across a really strange situation which I just don't understand.

To optimize CPU performance of a function which calculates the hash value of a sub-sequence in a bio-sequnce I replaced the following: