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# + [markdown] id="t8dgI_OxP9OE" colab_type="text"
# #`This notebook is an Il... | LDA_QDA.ipynb |
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from sklearn import linear_model
import numpy as np
im... | top size.ipynb |
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# HIDDEN
from datascience import *
import... | packages/nbinteract-core/example-notebooks/examples_sampling_from_a_population.ipynb |
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# # Part 7: 48 Crayons
# Let's review where we've been... | Part07_48_Crayons.ipynb |
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# #Cahn-Hilliard with Primtive and Legendre Bases
#
# ... | notebooks/localization_cahn_hilliard_Legendre_2D.ipynb |
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workspace()
#addprocs(3)
include("../src/UNSf... | Notebooks/IFASD testcases.ipynb |
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# Jupyter-flex allows you to create interactive dashbo... | docs/getting-started.ipynb |
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# %load_ext autoreload
# %autoreload 2
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import os
import pickle
import numpy
# Functions ... | notebooks/t-net-evaluation.ipynb |
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# <a name="pagetop"></a>
# <div style="width:1000 px">... | pages/workshop/NumPy/Numpy Basics.ipynb |
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# %matplotlib inline
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import dipy.reconst.dti as d... | Albert_Jupyter/connectomes+final.ipynb |
# %matplotlib inline
from fenics import *
parameters["plotting_backend"] = 'matplotlib'
import pylab
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# Define discrete Functionspace
mesh = UnitSquareMesh(100, 100)
U = FiniteElement("Lagrange", triangle, 1) # Finite element for forward PDE space
V = FiniteElement("Lagrange", triangle, 1) # Finite element for ad... | notebooks/15_one_shot_optimisation/poisson_one_shot.ipynb |
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# # Scrapping diamonds data from 'James Allen' website... | Diamonds.ipynb |
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from expresso.pycas import *
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f = Function('f',arg... | examples/PyCAS Compiler Test.ipynb |
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# # Intelยฎ Extension for Scikit-learn KNN for MNIST da... | examples/notebooks/knn_mnist.ipynb |
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# ## Questionรกrio 43 (Q43)
#
#
# Orientaรงรตes:
#
# - ... | _build/jupyter_execute/ipynb/Q43.ipynb |
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import requests
headers = {
'User-Agent': 'Mozill... | VMware-Security-Advisories-WebCrawler.ipynb |
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# # Use RMark... | notebooks/RMarkdown.ipynb |
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# + [markdown] id="vCvuDQIZVrg0"
# # Data Science Championship - South Zone
#... | _notebooks/2022-05-14-Data-Science-Championship.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | Assignment 2.ipynb |
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# %matplotlib inline
import pylab as plt
plt.style.use... | Chapter08/8_2_Simulation.ipynb |
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# # part 4: descriptive statistics and bariclot calculation
#
# * create summary statistics of the entire dataset using
# * compare trainin... | part4_descriptive-statistics-bariclot.ipynb |
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# # GAN review
# ## Problem Setup
# Let $x$ be elemen... | GAN with maxout/GAN.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
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import PyPDF2
import pandas as pd
import tika
import ... | AverageForFICT(done).ipynb |
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# Copyright (c) M... | Liver-Disease-Classification-Azure-ML-Capstone-Project-master/starter_file/automl.ipynb |
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# remove warning message
import os
os.environ['TF_... | [Part 3]End-to-end.ipynb |
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# # Reciprocal cycles
# A unit fraction contains 1 in... | 26-50/p26.ipynb |
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# Inteligรชncia Artificial - LAB02
#Execut... | LAB02.ipynb |
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# # Data Science Unit 4 Sprint Challenge 1 โ Tree Ense... | SC_4_1/DS41SC.ipynb |
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# # Custom TF-Hub Word Embedding with text2hub
#
# **L... | courses/machine_learning/deepdive2/text_classification/solutions/custom_tf_hub_word_embedding.ipynb |
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# + [markdown] id="Ezu9OhdMDaES" colab_type="text"
# # Testing Altair-Saver
#... | AltairSaver.ipynb |
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# # Experiment 1 - Xgboost
#
# Aim is to get a baselin... | notebooks/tith_reasmey-10845345-week1_basemodel.ipynb |
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# # Find well priced NFTs on rising collect... | notebooks/UndervaluedNFTs.ipynb |
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# # Exercise 5.01: Ordinary Least Squares (OLS) as a C... | Chapter05/Exercise5.01/Exercise5.01.ipynb |
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# # Exploration Notebook to scrape several websites fo... | job_locator_web_scraper.ipynb |
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# # Machine Learning Implementation
# + [markdown] he... | notebooks/decision_tree.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="VgPL0EJ69itt" execution... | Finetuning Emo Bot.ipynb |
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# # Data Organization: Matrix Structure
#
# >**Referen... | experiments/Prediction-ST-Online-TRMF.ipynb |
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import qiskit
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import numpy as np
import matplotli... | Grover's Search Algorithm.ipynb |
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# #### _Speech Processing Labs 2020: TTS: Module 4_
#... | tts/tts-m4-2-decision-tree-pencil-and-paper.ipynb |
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import ssl
ssl._create_default_https_conte... | Chapter09_NaturalLanguages.ipynb |
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# ## Devanagri Character Dataset
#
# The dataset can b... | Devanagri Character Dataset/devnagri-character-dataset.ipynb |
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# # Import Libraries
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# # Getting started with Variational Quantum Eigensolv... | misc/notebooks/tutorials/variational_algorithms/vqe_getting_started_heisenberg.ipynb |
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# # Jupyter Intro
#
# ### First cell
#
# First we are ... | Notebooks/01_Jupyter_Intro.ipynb |
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# + [markdown] id="KimMZUVqcJ8_"
# ##### Copyright 2021 The TensorFlow Author... | tensorflow/lite/g3doc/performance/quantization_debugger.ipynb |
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# # Deep learning 2. Convolutional Neural Networks
# ... | day3/DL2_CNN.ipynb |
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# # Stochastic Volatility model
# +
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# 2.3่ ไบคๅ้ช่ฏ
import numpy as np
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# # XML to YOLO... | XML_label_pharser.ipynb |
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# + [markdown] id="Z57Y5-H3uuOV" colab_type="text"
# #Combinatorial Optimizat... | tutorial/300_cop_en.ipynb |
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# + [markdown] tags=[]
# # DE Africa Coast... | notebooks/DEAfricaCoastlines_utils.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | LS_DS6_132_Sampling_Confidence_Intervals_and_Hypothesis_Testing.ipynb |
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... | notebooks/base-analysis/Baseline and Unl. Cache Analysis.ipynb |
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# %reload_ext autoreload
# %autoreload 2
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# # [TPV3] Off fault case: Desktop at Uni
# by <NAME> ... | PythonCodes/[TPV3]-Plotting/SingleCase Off-fault.ipynb |
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# !... | jupyter/training/english/dictionary-sentiment/sentiment.ipynb |
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# Assessment from https://classroom.udacit... | study/udacity-deep-learning/assignment1-datapreparation.ipynb |
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# # Woodwork Typing in Featuretools
#
# Featuretools r... | docs/source/getting_started/woodwork_types.ipynb |
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# # Example quantitative plots
#
# How to plot the res... | dense_correspondence/evaluation/evaluation_quantitative_tutorial.ipynb |
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# Author: <NAME>
# email: <EMAIL>
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# ## Setup
from ... | analyses/seasonality_paper/no_temporal_shifts/model.ipynb |
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# # Part 2 - Making materials from elements
#
# As we ... | tasks/task_02_making_materials/2_example_materials_from_elements.ipynb |
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# + [markdown] origin_pos=0
# # ๅคGPU็็ฎๆดๅฎ็ฐ
# :... | Dive-into-DL-paddlepaddle/docs/12_computational-performance/12.6.ipynb |
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# ## Surface Temperature Analysis
# You are asked to v... | Chapter04/Exercise4.02/Exercise4.02.ipynb |
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# pip install numpy
# -
import numpy as np
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import re
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from pprint import p... | JupyterNotebook/Chaire_Altissia_French_Tokenization_&_Term_Count_Chris_Margento.ipynb |
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# # ATLAS Assignment
# ## Autoencoders for Data Compre... | ATLAS Assignment.ipynb |
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# # Come scrivere comodamente comandi SQL in un notebo... | notebook/03 query SQL su db sqlite/sqlite.ipynb |
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impo... | 2 - Predict_Properties.ipynb |
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# ! aws s3 ls... | notebooks/n_kmers_per_single_cell.ipynb |
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from disan_keras_layers import DISAN
from disan_keras ... | disan_ts_pred.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
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# # Here is an example of how to get access to all dat... | jupyter-notebooks/For_COPD_HMB_COPD_DS-CS-RD_Users/MISC+-+Download+All+Data.ipynb |
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# + [markdown] id="g_nWetWWd_ns"
# ##### Copyright 2021 The TensorFlow Author... | site/en-snapshot/lite/guide/model_analyzer.ipynb |
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## Set up ini... | notebooks/ML Workshop 01.ipynb |
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# # Data Structures
#
# To keep this docum... | docs/user-guide/data-structures.ipynb |
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#!/usr/bin/env python
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# # 2-parameters discriminant an... | AppStat2022/Week5/original/MVA_part1/2par_discriminant.ipynb |
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# <h1>AutomationDirect P3-530 PLC</h1>
#
# This device... | notebooks/Analyzing Firmware with Centrifuge Example 2.ipynb |
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# # Young Star Magnetic Models
#
# Convergence of magn... | Daily/20150729_small_magnetic_grid.ipynb |
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# <h1>Lab 07<h1>
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class Cab:
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# Loading Cobra package
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# # Applying algorithm to full dataset
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# ## 1 - Quais casas o CEO da House Rocket deveria com... | Projeto House Rocket/ProjetoHouseRocket_MachineLearning.ipynb |