Fedor Kurushin fkurushin

## MultiLabel_MultiClass_TextClassification_with_BERT_Transformer_and_Keras.py
#######################################
### -------- Load libraries ------- ###

# Load Huggingface transformers
from transformers import TFBertModel,  BertConfig, BertTokenizerFast

# Then what you need from tensorflow.keras
from tensorflow.keras.layers import Input, Dropout, Dense
from tensorflow.keras.models import Model
from tensorflow.keras.optimizers import Adam

## grafana_telegram_bot.md

      
              1 file
            
          
              30 forks
            
          
              18 comments
            
          
              64 stars
            
          
                ilap
                / grafana_telegram_bot.md
            
            
              Last active
              March 24, 2024 14:31
            
              
                Grafana Telegram Alert
              
          
    Config Telegrambot for grafana's alerts.

1. Create bot

Open Telegram and search for @BotFather user and message them the following:
You
/newbot 

BotFather


## pad_packed_demo.py
import torch
from torch import LongTensor
from torch.nn import Embedding, LSTM
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
#
#     Step 1: Construct Vocabulary
#     Step 2: Load indexed data (list of instances, where each instance is list of character indices)

## cities.md

      
              1 file
            
          
              14 forks
            
          
              8 comments
            
          
              51 stars
            
          
                nalgeon
                / cities.md
            
            
              Last active
              March 28, 2024 01:19
            
              
                Города России с координатами
              
          
    Справочник переехал: https://github.com/hflabs/city

  
## translate_youdao.r
## install.packages(c("RCurl", "rjson", "digest"))

library(RCurl)
library(rjson)
library(digest)

## 老版, 已无法get到新的key

user = "blog125"
key = "21376174"

## Dockerfile
FROM ubuntu:14.04

RUN	apt-get update && apt-get install -y curl build-essential git mercurial upx

RUN curl -sSL https://golang.org/dl/go1.4.src.tar.gz | tar -v -C /usr/local -xz
RUN cd /usr/local/go/src && ./make.bash --no-clean 2>&1
ENV GOPATH /go
ENV PATH /usr/local/go/bin:$PATH
ENV PATH /go/bin:$PATH
	#######################################
	### -------- Load libraries ------- ###

	# Load Huggingface transformers
	from transformers import TFBertModel, BertConfig, BertTokenizerFast

	# Then what you need from tensorflow.keras
	from tensorflow.keras.layers import Input, Dropout, Dense
	from tensorflow.keras.models import Model
	from tensorflow.keras.optimizers import Adam
	import torch
	from torch import LongTensor
	from torch.nn import Embedding, LSTM
	from torch.autograd import Variable
	from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

	## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
	#
	# Step 1: Construct Vocabulary
	# Step 2: Load indexed data (list of instances, where each instance is list of character indices)
	## install.packages(c("RCurl", "rjson", "digest"))

	library(RCurl)
	library(rjson)
	library(digest)

	## 老版, 已无法get到新的key

	user = "blog125"
	key = "21376174"
	FROM ubuntu:14.04

	RUN apt-get update && apt-get install -y curl build-essential git mercurial upx

	RUN curl -sSL https://golang.org/dl/go1.4.src.tar.gz \| tar -v -C /usr/local -xz
	RUN cd /usr/local/go/src && ./make.bash --no-clean 2>&1
	ENV GOPATH /go
	ENV PATH /usr/local/go/bin:$PATH
	ENV PATH /go/bin:$PATH