NSP | Social Network that brings engineer | Machine Learning library

Trying to find any Tensorflow/Keras implementation of the original BERT model trained using MLM/NSP. The official google and HuggingFace implementations are very complex and has so much of added functionalities. But I want to learn and implement BERT for just learning its working.

Any leads will be helpful?

I am trying to create an application using socket with Angular and node.js as backend application. In the backend I can see that connection is getting established/disconnected but not able to read events.

this is my server side node.js code:

I have followed the socket.io testing guide here it showed the server emitting some event and the client will receive it, but I want it the other way around. The client should send some data and the server will receive it this is my code

I am trying to format the data in input.csv so that it returns the indexes that satisfies the conditions of Indexes. I want the code to print out all the indexes of rows that have all the values defined in the #intervals. Only the first row of element [ 2. 2. 30.] satisfies for the limits defined at the Indexes variables. Essentially I want to print out all the rows: Thats satisfy the condition: if column['MxU'] >= MxU and column['SNPT'] >= SNPT..... and column['MxD'] >= MxD

input.csv file:

The code below outputs the max and its indexes for the specified columns max_columns and min_columns. I want to print it in the format of the expected result. Where the max values and their indexes are at the same row. How would I be able to arrange the max_values_STD_Q1, max_index_STD_Q1 so that I get the expected result.

input.csv file:

How would I be able to print the last value of element_val numpy arrays. It is the second index of [ 2. 2. 30.] which is 30. So the values will go like 30,40,50...670,680. How would I be able to do that since the numpy array is 1 dimensional?

input.csv file:

I am trying to write a function that prints out all the max and min values and their indexes for the specified columns in the input.csv file. The columns I want to return the max values of are referenced in the max_columns variable and the one to return min values are in the min_columns variable. However it doesn't go through the whole array values as intended I tried to do it with pandas howver it does not work. The code down below was achieved from my previous post:

input.csv file:

I am trying to write a function that prints out all the max and min values and their indexes for the specified columns in the input.csv file. The columns I want to return the max values of are referenced in the max_columns variable and the one to return min values are in the min_columns variable. However it doesnt go through the whole array values as intended

input.csv file:

I am using socket.io 4.x on my NodeJs server and I need to access a few things which are stored in io.sockets.sockets object. So here is what I am looking for how can i get values out of this map, or get a count of how many there are in the map. I tried the below with no luck..