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# + [markdown] tags=["header"]
# <table width="100%">
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# + id="izr9sdRKz9bU" colab_type="code" colab={"base_uri": "https://localhost... | experiments/Grayscale_specs_mag.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] slideshow={... | tutorial/50.cnn.ipynb |
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# Dependencies
import tweepy
import numpy as np
im... | VisualizationTemplate.ipynb |
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# # Attention is All You Need
# Code taken from: http... | _site/files/Untitled.ipynb |
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# # SciPy: Numerical Algorithms for Python
# **Learni... | Content/Model/Scipy.ipynb |
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# + id="tOMGA3AeaA32"
import tensorflow as tf
import pydot
import keras
from... | MNIST_Classification__final_1.ipynb |
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import h2o4gpu
import time
import sys
impor... | examples/py/H2OGPUGLM.ipynb |
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# <img src="img/mioti.png" >
#
#
# # Proyecto Reconoci... | PRY_Detector_FER_M.ipynb |
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# # !kaggle datasets download -d ejlok1/toronto-em... | audio_mood.ipynb |
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from sklearn.datasets import load_iris
iris_dataset = ... | machine_learning/chapter_1.ipynb |
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# Ignore sklearn future warning.
import warnings
warnings.f... | .ipynb_checkpoints/SentiSW_classification-checkpoint.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | how-to-use-azureml/deploy-to-local/register-model-deploy-local-advanced.ipynb |
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import numpy as np
import h5py
import matplotlib.p... | Coursera_Deep_NN.ipynb |
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from pirc522 import RFID
import signal
import tim... | Python 3 RFID-RC522 Jupyter Notebook Raspberry Pi.ipynb |
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# Importing required libraries
import pandas as pd
imp... | name_email_authenticator_19_12_2017.ipynb |
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from bs4 import BeautifulSoup
soup = BeautifulSou... | notebooks/HTML_scrapper.ipynb |
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import pandas as pd
import numpy as np
imp... | ML_Classification_Kickstarter_Adrian.ipynb |
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# ## Name: <NAME>BIT no: 50290934
# ## Team mate name: <NAME>
# # Part ... | Twitter Application on Shiny/DataAnalysisOnTwitterData.ipynb |
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# # Full da... | hierarchical_experiments/radon/.ipynb_checkpoints/Radon-checkpoint.ipynb |
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from connections.mysql_connector import MySQL_Connecto... | Projeto Tuplas V2.ipynb |
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# # Working With Multiple Functions
#
# NB. Functions ... | [Self Help] Python/Notes - Learning Resources/Functions & Methods/[Notes] Interactions Between Python Functions.ipynb |
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# You might want to consider the [start](search.ipyn... | official TF tutorials/official-tutorial_06_search.relations.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Caffe_Training_Custom_Dataset.ipynb |
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# # Matrix factorization
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import pandas as pd
impo... | src/matrix_factorization.ipynb |
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# # In this step, we'll assign money/award codes based... | Notebooks/Step_3_5_Add_Affordability.ipynb |
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from evdev import InputDevice, categorize, ecodes
impo... | Joystick.ipynb |
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# # NumPy || np
# numpy is a genral purpose array-proc... | _notebooks/2021-04-22-NumPy.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href=... | old (to ignore)/complete data/.ipynb_checkpoints/generate_dataset_multiple maturities-checkpoint.ipynb |
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# # Lab 4
# ### Import
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# # Determining Feature Importance With Boruta
# ## Importing Data
# Al... | code/PCA_Boruta_Exploration.ipynb |
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# %load_ext autoreload
# %autoreload 2
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# # This notebook plots errors in MOSAIKS predictions ... | code/analysis/3_figures_and_tables/supplementary_figs/FigS17/cnn_vs_MOSAIKS_scatter.ipynb |
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# # Integrated gradients for MNIST
# In this notebook... | examples/integrated_gradients_mnist.ipynb |
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import torch
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import os, pickle
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# + colab={"base_uri": "https://localhost:... | .ipynb_checkpoints/QuestAccu_Analysis_v3-checkpoint.ipynb |
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# ### Jupyter notebook for feature demonstration of `... | notebooks/taxonomy_annotation_example.ipynb |
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from IPython.display import IFrame
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# import load_... | Machine Learning Models/Supervised Learning/Classification/KNN.ipynb |
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# %matplotlib inline
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# # Generation of stochastic n... | notebooks/plot_noise_generators.ipynb |
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# 2018 Edition
#
# <NAME> & <NAME>
# # Building a mus... | lab1-recommendation-system/Lab1-RecSys-Bonnaud-Nguyen.ipynb |
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# + id="7S912FScQubH" colab_type="code" colab={}
#Imports
import lightgbm as... | Questao3.ipynb |
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# # Ice Diagnostics
from glob import glob
imp... | ContributedExamples/Ice Diagnostics.ipynb |
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# ## Objective##
# Write a program to perform Parenth... | practice/example5.ipynb |
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# ### 2. Wien’s displacement constant:
# $I(\lambda) ... | ExamPrep/SciCompComplete/Jan2016_Q2_Roots_Of_Equations.ipynb |
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# # Notebooks to merge subject information... | notebooks/.ipynb_checkpoints/subject_profiling_filtering-checkpoint.ipynb |
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# # Is biopython.Seq
from molsysmt.tools ... | docs/contents/tools/classes/biopython_Seq/is_biopython_Seq.ipynb |
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# # Scraping the HTML of all the pages so we can get t... | notebooks/grab-all-htmls.ipynb |
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# # Age and Gender Prediction
#
#
# Part 1 : Training ... | training.ipynb |
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# # Cruise collocation with gridded data
#
# Autho... | notebooks/.ipynb_checkpoints/Intro_08a_Xarray-Advanced_cruise_data_case_study-Copy1-checkpoint.ipynb |
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# <img src="http://eagle.fish.washington.edu/c... | jupyter/Olurida/.ipynb_checkpoints/Fidalgo-Siblings-BS-genefish-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | module4-logistic-regression/LS_DS14_214_Assignment.ipynb |
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# ## Pandas - Pivot
# - Data Frame의 컬럼에서 index, column... | 2018_05_28_Pandas_Pivot_review.ipynb |
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# + [markdown] id="8T1Pf4mbuVRI"
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# #Image Classification From Scratch With... | Image_Classification_TF2.ipynb |
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# # Riskfolio-Lib Tutorial:
# <br>__[Financionerionci... | examples/Tutorial 9.ipynb |
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# # Monitor ML ... | how-to-guides/monitor-ml-runs/notebooks/Monitor_ML_runs_live.ipynb |
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# ##### Copyright 2020 The TensorFlow IO Aut... | site/ja/io/tutorials/postgresql.ipynb |
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# # Create a subset of NACTI training data
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# # Q4. Transfer learning (20 marks)
#
# <b>When we learn t... | Q4.ipynb |
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import datetime
import pymongo
client = pymongo.Mongo... | URL Shortner.ipynb |
# # Automatic generation of Notebook using PyCropML
# This notebook implements a crop model.
# ### Model Potentialtranspiration
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# coding: utf8
from pycropml.units import u
from copy import copy
from array import array
import numpy
from math import *
def model_potentialtranspiration(evapoTranspiration = 830.... | test/Models/energybalance_pkg/test/py/Potentialtranspiration.ipynb |
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# Working through the example from
# https://git... | kipet_examples/Ex7_concentration_input_noA_wk.ipynb |
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# # Setup
# ### Importing the packages
# Load the pa... | Section 9/S9_L55/Section 9 - Scraping multiple pages automatically - rate limitting.ipynb |
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# **Chapter 10 – Introduction to Artificial Neural Net... | 10_neural_nets_with_keras.ipynb |
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df = pd.read_csv("fatal-polic... | notebooks/Labs_28/Cleaning_and_ordering_fatality_data.ipynb |
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# source : https://blog.goodaudience.com/artificial-n... | Artificial NN/Activation Functions.ipynb |
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import random
from scipy.stats import norm
from ma... | files/Friday Workshop/2_24_20/Credit_Tranches_solution.ipynb |
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# from bert import run_classifier
# from be... | dev_notebook.ipynb |
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# <font size = "5"> **Chapter 2: [Diffraction](Ch2-Dif... | Diffraction/CH2-Relrod.ipynb |
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# # Report of Musical Windmill 谭凯文
#
# # Goal
# Th... | projects/tkwen/Untitled.ipynb |
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# # Python Tutorial
# Eine minimale Einführung in Pyth... | tutorials/Python Tutorial.ipynb |
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# + id="T2pxbSvIWF_H"
# Import the Libraries :
import tensorflow as tf
from ... | MODEL -1 (CNN)/Model/cqt/CNN-Model-1-CQT.ipynb |
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# # Build, train, and deploy a machine lear... | Build, train, and deploy a machine learning model with Amazon SageMaker.ipynb |
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# + id="4lMW_ALL7-Nd" colab={"base_uri": "https://localhost:8080/", "height":... | speechify.ipynb |
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# # Python で気軽に化学・化学工学
# # 第 8 章 モデル y = f(x) を構築して、新た... | sample_program_8_8_svm.ipynb |
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# <p><font si... | _solved/pandas_05_combining_datasets.ipynb |
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# # Assignment_02
# %matplotlib inline
import matplo... | static/files/Joshi_02.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# ## ... | beginner-lessons/interdisciplinary-communication/ic-2.ipynb |
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# # Digit Recognition using CNN - <NAME>
# ## Importi... | Digit Recognition using CNN.ipynb |
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from ... | django_hogun/Untitled.ipynb |
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# # Recursive Feature Elimination using XGB
import pa... | hsp90/5_Machine_Learning/4_Recursive_Feature_Elimination.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | Code/oct-folds.ipynb |
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# + [markdown] id="yx_o4Z-06Eiq" colab_type="text"
# #... | notebooks/03-NumPY.ipynb |
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# https://colab.research.g... | Chapter12/RNN_text_generation.ipynb |
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# + [markdown] id="RpydPv5NUs6k"
# # Överförd inlärning
#
# I den här laborat... | lab3/marcus_cvjeticanin_lab_03_5tf078.ipynb |
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# + [markdown] nbgrader={"grade": false, "grade_id": "... | supplemental/tricount--soln.ipynb |
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# # Comparing a USGSCSM and ISIS camera for Cassini IS... | examples/cassini_isis_wac_cmp.ipynb |
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# # Daily Assignment 7/2/19 - Estimation
#
# Estimate the following equa... | Summer-19/DailyAssignments/Daily Assignment 7_2.ipynb |
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import tensorflow as tf
# #### Multiplying Two Variab... | TensorFlow.ipynb |