Thierno Ibrahima DIOP bayethiernodiop

## streamlit_prodigy.py
"""
Example of a Streamlit app for an interactive Prodigy dataset viewer that also lets you
run simple training experiments for NER and text classification.

Requires the Prodigy annotation tool to be installed: https://prodi.gy
See here for details on Streamlit: https://streamlit.io.
"""
import streamlit as st
from prodigy.components.db import connect
from prodigy.models.ner import EntityRecognizer, merge_spans, guess_batch_size

## gcloud_docker_setup.md

      
              1 file
            
          
              4 forks
            
          
              10 comments
            
          
              21 stars
            
          
                pratos
                / gcloud_docker_setup.md
            
            
              Last active
              January 12, 2023 18:26
            
              
                Installing gcloud on Ubuntu 16.04 LTS
              
          
    Installing it using cURL

$ curl https://sdk.cloud.google.com | bash

When the first time you run the above statement, it might be that you'll get the following error if python2 is not installed in your system.

Welcome to the Google Cloud SDK!
Traceback (most recent call last):
  File "/home/pratos/google-cloud-sdk/lib/third_party/enum/__init__.py", line 364, in __getattr__


## pg-pong.py
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

## gmmhmm.py
# (C) Kyle Kastner, June 2014
# License: BSD 3 clause

import scipy.stats as st
import numpy as np

class gmmhmm:
    #This class converted with modifications from https://code.google.com/p/hmm-speech-recognition/source/browse/Word.m
    def __init__(self, n_states):
        self.n_states = n_states

## iterm2-solarized.md

      
              2 files
            
          
              1621 forks
            
          
              492 comments
            
          
              8792 stars
            
          
                kevin-smets
                / iterm2-solarized.md
            
            
              Last active
              April 22, 2024 01:47
            
              
                iTerm2 + Oh My Zsh + Solarized color scheme + Source Code Pro Powerline + Font Awesome + [Powerlevel10k] - (macOS)
              
          
    Default


Powerlevel10k
	"""
	Example of a Streamlit app for an interactive Prodigy dataset viewer that also lets you
	run simple training experiments for NER and text classification.

	Requires the Prodigy annotation tool to be installed: https://prodi.gy
	See here for details on Streamlit: https://streamlit.io.
	"""
	import streamlit as st
	from prodigy.components.db import connect
	from prodigy.models.ner import EntityRecognizer, merge_spans, guess_batch_size
	""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
	import numpy as np
	import cPickle as pickle
	import gym

	# hyperparameters
	H = 200 # number of hidden layer neurons
	batch_size = 10 # every how many episodes to do a param update?
	learning_rate = 1e-4
	gamma = 0.99 # discount factor for reward
	# (C) Kyle Kastner, June 2014
	# License: BSD 3 clause

	import scipy.stats as st
	import numpy as np

	class gmmhmm:
	#This class converted with modifications from https://code.google.com/p/hmm-speech-recognition/source/browse/Word.m
	def __init__(self, n_states):
	self.n_states = n_states