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# + colab={"base_uri": "https://localhost:8080/", "hei... | Keras_model/firedetection.ipynb |
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# # Loading the MNIST data
#
# This is the MNIST data ... | nn-from-scratch/MNIST-loader.ipynb |
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# View more python learning tutorial on my Youtube... | tkinterTUT/tk6_scale.py.ipynb |
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# In this assignment, you are required to im... | exercises/E1 - Classification Performance Measures.ipynb |
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# # Pairs Trade Algorithm
# <NAME>
# ***
# The pairs... | Example-Project/04-PairsTradeAlgorithm.ipynb |
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# # citare : https://github.com/DantesLegacy/TensorFlo... | src/utils/.ipynb_checkpoints/Audio_downloader-checkpoint.ipynb |
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# - https://storage.googleapis.com/deepmind-media/dqn/... | 1 - DQN.ipynb |
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# # Jupyter Notebook Title
# ## Contents of N... | develop/2018-01-31-dc-Github NoteBook.ipynb |
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# <div class="contentcontainer med left" style="margin-left: -50px;">
# <dl class="dl-horizontal">
# <dt>Title</dt> <dd> Surface Element</dd... | examples/reference/elements/plotly/Surface.ipynb |
# ## Overview
#
# This notebook will show you how to create and query a table or DataFrame that you uploaded to DBFS. [DBFS](https://docs.databricks.com/user-guide/dbfs-databricks-file-system.html) is a Databricks File System that allows you to store data for querying inside of Databricks. This notebook assumes that yo... | Codes/Gathering_Data/2020-06-03 - DBFS Example_AN.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | SegFault_TABLE_VI.ipynb |
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# The Code is originally from towardsdatascience.c... | docs/2008/Resources/Deep Learning Coding with Python/.ipynb_checkpoints/Simple CNN coding in Numpy-checkpoint.ipynb |
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# + [markdown] id="UoQjqjBOIzfG" colab_type="text"
# # Colaboratory
# + [mar... | extras/amld/notebooks/solutions/0_colab.ipynb |
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# # Image classification with MNIST data, solutions to... | Code/Jupyter/MNIST_solutions.ipynb |
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# + [markdown] nbgrader={}
# # Matplotlib Exercise 1
... | assignments/assignment04/MatplotlibEx01.ipynb |
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# # Reversed Linked List
# [link](https://www.algoexpert.io/questions/Reverse%20Linked%20List)
# ## My Solution
def reverseLinkedList(head):... | algoExpert/reverse_linked_list/solution.ipynb |
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# ## Using MediaEmailer Module
# #### 1.First create ... | UsingMediaEmailer.ipynb |
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import matplotlib.pyplot as plt
plt.figure(figsiz... | Assignment-1/Documentation/test/plot_show.ipynb |
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# # IF Else
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num1 = int(input("Enter Number1: "))
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import json
import re
from flask import Flask, re... | src/server_snippets.ipynb |
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# ## Text classification
#
# Some use cases -
# ... | notebooks/NLP.ipynb |
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# %pylab inline
largestPrimeFactor = 2
def largest_... | Lokesh Tiwari/.ipynb_checkpoints/Project_Euler_problem_3-checkpoint.ipynb |
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# # Load
#
# In this exercise, you'll load data into d... | lessons/ETLPipelines/17_load_exercise/17_load_exercise.ipynb |
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# %matplotlib inline
#
# # Plot memory fingerprint
#
... | docs/auto_examples/plot_fingerprint.ipynb |
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# Import pandas
import pandas as pd
# Load datase... | Credit-Card-Approvals-Utku-Sokat.ipynb |
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# # VIPERS SHAM Project
#
# This notebook is part of t... | analysis/fig9-likelihood.ipynb |
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# + [markdown] id="lGfOJRsTWKAU"
# # How to Build a Tr... | exchange-transformer/transformer_example.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 20202/dm_20202_0402_spam_detector.ipynb |
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import matplotlib.pyplot as pl... | basics/loss_function.ipynb |
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# # MNISTでセグメンテーションに挑戦
#
#
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import os
impor... | tests/python/mnist/MnistSegmentation.ipynb |
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from urllib.request import urlopen
from bs4 import... | scripts/Site Scrapping.ipynb |
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import matplotlib.pyplot as plt
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query = {
"message":... | minihackathons/WF C.3.ipynb |
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# # The Viterbi Algorithm for Hidden Markov Models
#
#... | hmm/simple-hmm.ipynb |
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import pandas as pd
import matp... | CostLoss.ipynb |
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# # Lecture-05-2 Fresnel Equation
# * author : <NAME>
... | Lecture-05-2 Fresnel Equation.ipynb |
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# taking input from year
number = int(... | Know Your Code/Python/Python Notes/Programs/Program 2.ipynb |
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# # importing libraries
import os
import ... | model for captcha training.ipynb |
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# # Torch Core
# This module contains all the basic f... | docs_src/torch_core.ipynb |
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# + slideshow={"slide_type": "slide"}
import pandas as... | Timeseries/Monthly/Monthly_Intercomparison.ipynb |
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# # One Hot Encoding
# ## ... | Lesson7/completed_notebooks/Exercise57.ipynb |
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# ### Exercice 1:
# Write a Python class ... | exercices/part4.ipynb |
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# # HM2: Numerical Optimization for Logistic Regressio... | assignments/HM2/HM2.ipynb |
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# + [markdown] colab_type="text" id="DweYe9FcbMK_"
# ##### Copyright 2018 The... | site/en/tutorials/load_data/text.ipynb |
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# + colab={"autoexec": {"startup": false, "wait_interv... | siamese-triplet/Experiments_FashionMNIST.ipynb |
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import pandas as pd
import numpy as np
from utils.d... | antecedentless classifier training.ipynb |
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# Using a neural network to predict stock prices, usin... | .ipynb_checkpoints/Predictorv3-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="ht... | indicTrans_Finetuning.ipynb |
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import gym
import tensorflow as tf
import numpy as np
... | Reward to get Baseline.ipynb |
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# # Training Set Expansion
# ## Get Datasets
# +
fro... | MNIST/.ipynb_checkpoints/MNIST_TSE-checkpoint.ipynb |
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# ## NumPy
# +
# # !pip install numpy
# -
import num... | Numpy.ipynb |
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# reload packages
# %load_ext autoreload
# %autoreload... | notebooks/dataset-projections/cassins/cassins-parametric-tsne.ipynb |
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# + [markdown] id="4hqMglFDu3tv"
# #**Pandas**
#
# It's a library that is use... | Pandas.ipynb |
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# # Comunicados de Política Monetaria
# ## Parte 2.
#
... | notebooks/.ipynb_checkpoints/naive-bayes-checkpoint.ipynb |
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# + [markdown] _cell_guid="d78c53b6-3887-4fcc-bcc4-5b6... | docs/data-maining/brief-insight-on-genetic-variations.ipynb |
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# # Bias-correction for weather forecasts
#
# We will ... | examples/BiasCorrectionOfWeatherForecasts/biasCorrection.ipynb |
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# TSG035 - Spark History logs
# ===========================
#
# Description
#... | Big-Data-Clusters/GDR1/public/content/log-analyzers/tsg035-get-sparkhistory-logs.ipynb |
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# ##### Copyright 2019 The TensorFlow Author... | site/ru/tutorials/generative/pix2pix.ipynb |
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# Connect to Database
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# + colab={"base_uri": "https://localhost:8080/", "hei... | Image Classification/ResNet18.ipynb |
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# ## Extracting Titanic Disaster Data From Kaggle
# !... | notebooks/1.0-ak-extract-titanic-data.ipynb |
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# All the IPython Notebooks in Pyt... | 003_Convert_.py_to_.exe/003_Convert_.py_to_.exe.ipynb |
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x = np.array([1,2,3,4,5])
y = np.a... | Notebook/Ex_Jupyter/he_so_tuong_quan/Untitled.ipynb |
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# + inputHidden=f... | python/altair.ipynb |
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# <div class="contentcontainer med left" style="margin-left: -50px;">
# <dl class="dl-horizontal">
# <dt>Title</dt> <dd>DynamicMap Container... | examples/reference/containers/bokeh/DynamicMap.ipynb |
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# import packages
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# # for Mac OS
import os
os.environ['KMP_DUPLICATE_LI... | a2c-cartpolev0/a2c-cartpolev0.ipynb |
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# This is a slap-dash attempt at reviewing all of CMPS... | CMPSC131 Review.ipynb |
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# # Train A Smartcab to Drive
# <NAME>
#
# ![png](READ... | README.ipynb |
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# ## New Fitting Tools (May/June 2017... | examples/Fitting-tools.ipynb |
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# # Debugging, conditional statements, functions
#
# I... | topic_02_debugging_if_functions.ipynb |
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# # Multi-Spectral Registration
#
# Copyright (c) 2020... | Sitk_Demo_Registration.ipynb |
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# Load Libraries
impo... | Data Analysis/sales_EDA.ipynb |
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# ___
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# # K Nearest Neighbors with Python
#
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# # TensorRTに変換
# Pytorchのresnet18モデルをTensorRTモデルに変換しま... | notebooks/03.convert_to_trt.ipynb |
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# # Generating adversarial examples on MNIST using C&W... | examples/mnist_noteboook_example.ipynb |