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# # Feature processing with Spark, training... | advanced_functionality/inference_pipeline_sparkml_xgboost_abalone/inference_pipeline_sparkml_xgboost_abalone.ipynb |
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import functools
import numpy as... | prototyping/auto-segmentation/sb/00-stage-0-prototyping/01-mask-with-edge-falloff.ipynb |
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# # Train/Validation/Test Splits
#
# This ... | notebooks/train_test_validation_splits.ipynb |
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import numpy as np
import pandas as pd
import se... | NEWS-AGGRIGATOR DATASET.ipynb |
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import k3d
import numpy as np
from numpy import si... | examples/camera_manipulation.ipynb |
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# + id="yq0SJEcqqlK2" executionInfo={"status": "ok", "timestamp": 16065442736... | Wines.ipynb |
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import pandas as pd
pd.set_option("display.max_columns... | notebooks/1. Analysis/samples/2 - Analizando dataset nuevo DM_RETAIL_CLIE.ipynb |
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# ### Creating corpus - combine revision te... | Misc/xml_data/xml_blockcorpus.ipynb |
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# # 04 - Multiclass logistic regression from scratch
... | In Progress - Deep Learning - The Straight Dope/02 - Introduction to Supervised Learning/04 - Multiclass logistic regression from scratch.ipynb |
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import os
import numpy as np
import pandas as pd
i... | Weather Analysis/Climate Type Determination.ipynb |
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# # TDEM response of a conductive permeable casing
#
... | notebooks/7_TDEM_Permeability.ipynb |
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# + [markdown] toc="true"
# # Table of Content... | content/downloads/notebooks/udacity/deep_learning_foundations_nanodegree/project_2_notes_convolutional_neural_networks.ipynb |
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# # Datasets for the book
#
# Here we provide links to... | Datasets.ipynb |
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# + id="AkjPFfsEYp4D" colab_type="code" colab={}
# + [markdown] id="ptW-CjK... | final/notebooks/scratch/id3-from-scratch.ipynb |
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import pandas as pd
from scipy.io import arff
import n... | 数据挖掘与数据仓库/实验三/.ipynb_checkpoints/实验三相关度高的特征子集-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | ex03/Guilherme_Pereira/Aula_3_Guilherme_Pereira.ipynb |
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# One idea that we ought to be able to leverage is to ... | notebooks/Halide Target.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | test_model.ipynb |
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# # Prepare dataset
# The purpose of this file is to n... | notebooks/AM_prepareData.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | notebooks/01-au-feature-engineering-playground.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # D... | presentation.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | image-multi-class-weights.ipynb |
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root = tkt.Tk() # 윈도우 창 생성
root.title("계산기") # T... | Calculator.ipynb |
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# ## Viewing and analyzing volumetric timeseries data
... | notebooks/dask_4D_LLSM.ipynb |
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import nltk
nltk.download('punkt')
import numpy as np
... | age prediction.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Ejercicio_Matriz_4x4.ipynb |
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empty_dictionary = {}
print(type(empty_dictionary))
b... | 1. Python Introductory Course/1. Intro to Python/Dictionaries.ipynb |
# -*- coding: utf-8 -*-
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# # Multi-Qubit Systems
#
# This tut... | tutorials/MultiQubitSystems/MultiQubitSystems.ipynb |
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step 1: ssh into the cluster using: "ssh -L localhost:... | tutorial/How-to-launch-jupyter-notebook-from-cluster/How.ipynb |
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# # Loading S&P 500 data prduced by Airflo... | notebooks/20210711-load-sp500-data.ipynb |
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# %load_ext autoreload
# %autoreload 2
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# <center> <font size='6' font-weight='bold'> Nettoyag... | cleaning.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Application_2.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as plt
i... | Data Analysis.ipynb |
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import numpy as np
import scipy as sp
from scipy i... | fig1.ipynb |
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# Importando dependências
import keras
from keras... | Ocean_IA_Deep_14_08_19.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Factor... | 05-recommender/01-factorization-machine.ipynb |
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with open("requirement.txt", "w") as f:
f.write("k... | FaceNet-distributed-training/pipeline/k8s_distributed_training_final_version.ipynb |
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# + [markdown] id="yv8OxUW-aZuw"
# # Data Import and P... | (2) [Jupyter - Youth] Module 5.ipynb |
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# # mlbotの初心者向けチュートリアル
#
# この記事ではmlbot(機械学... | work/long_period/gmo/default/tutorial.ipynb |
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# # Substitution Ciphers
# A substitution cipher is a... | 2.substitution-cipher/substitution_cipher.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="VgmaCkAMYtDe" outputId=... | notebooks/train_classification_model.ipynb |
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texte = "je vais en Espagne."
texte_modifie = texte.l... | 15_methodes_chaines.ipynb |
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# The MIT License (MIT)<br>
# Copyright (c) 2016,2017 ... | skdaccess/examples/Demo_GLDAS.ipynb |
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# # Project: Explore US births since 2000
... | courses/8. Datasets exploration in Python.ipynb |
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# + id="mu6YP2e5uFc9" colab_type="code" colab={"base_uri": "https://localhost... | day2_visualization.ipynb |
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# ## Percentage of permanent residence issued to Chine... | notebook/US immigration.ipynb |
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# default_exp uniprot_integration
# -
# # UniProt... | nbs/Uniprot_integration.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | compLingProject104SentenceAlignmentHunalignV04a.ipynb |
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import os
import gym
import torch as T
import num... | Chapter11/Activity11.02/Activity11_02.ipynb |
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# + active=""
# # In-Class Coding Lab: Functions
#
# T... | content/lessons/06/Class-Coding-Lab/CCL-Functions.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | notebooks/2-linear-algebra-ii.ipynb |
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import sqlite3
import pandas as pd
import numpy as np
... | Final Notebook/soccerAnalysis.ipynb |
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# ## Config
# +
# %load_ext autoreload
# %autoreload 2
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import k3d
import numpy as np
from ipywidgets impo... | examples/voxel_edit.ipynb |
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# # Smart Wearables -- Bonsai Tree Classification on s... | HAR_FNOW.ipynb |
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# # CONVERGENCE ANALYSIS
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# + colab={} colab_type="code" id="t64eBMZW1_S5"
pip i... | Codes/Transfer Learning/Simulated-To-Physical-Cross-System/.ipynb_checkpoints/All_Models_Sim_to_PHY-checkpoint.ipynb |
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# # Finite differences in 1D
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#... | DS-Unit-1-Sprint-1-Dealing-With-Data-master/module4-makefeatures/LS_DS_114_Make_Features_Assignment.ipynb |
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# 讯飞tts的class
#
# 需要使用以json格式写的API才可以初始化。
# ```json
# ... | xunfei_tts.ipynb |
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# # Chained Visualizations with Yellowbrick Pipelines
... | examples/rebeccabilbro/pipelines.ipynb |
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from selenium.webdriver import Chrome, ChromeOp... | dalbem.ipynb |
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# #... | Transfer Learning with Convolutional Neural Networks - Dificultad media/Transfer Learning with Convolutional Neural Networks - CIFAR10 - Primera parte.ipynb |
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df = pd.read_c... | 5-mapping-duplicate-municipals.ipynb |
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# # ML Pipeline P... | 02 - Disaster Response Pipelines/notebooks/ML Pipeline Preparation.ipynb |
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# <im... | notebooks/CustomerScenarios/Case Study - Recommendation AB Testing at An Online Travel Company.ipynb |
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# GPU: 32*40 in 9.96s = 128.5/s
# CPU: 32*... | DeepLearningFrameworks/inference/ResNet50-MXNet-mkl.ipynb |
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# # 1. An overview of the basic functions of Spark
#
#... | 3. Spark Basics.ipynb |
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# # FFT model training
#
# In this notebook we... | cardio/models/fft_model/fft_model_training.ipynb |
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# # TDI Capstone Project, Part 2: Compile NEI data
#
#... | notebooks/prepare_nei_data.ipynb |
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impor... | site/normal-demonstration.ipynb |
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# ** This notebook assumes ... **
#
# 1) Basic familia... | tutorial/notebooks/nonspinning_nr_emri.ipynb |
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# # Create photoreduction forcing files
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import nu... | forcing/scavenging---euphotic-depth.ipynb |
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# # Ridge and Lasso Regression
#
# https://openclassro... | OpenClassRoom/RidgeAndLassoRegression/RidgeAndLassoRegression.ipynb |
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# # Neural Machine Transla... | notebooks/Neural_Machine_Translation_Example.ipynb |
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# # In Class 20190402
# Learning notebooks and python ... | inclass/inclass3-abpwrs/notes/20190402_ClassNotes.ipynb |
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# #... | legacy/unidad_1/04_OOP_model.ipynb |
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# # Author: <NAME>
# ## Let's Grow More - ... | TASK 1- Iris Flowers Classification/TASK 1 - Iris Flowers Classification.ipynb |
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# # Python极简入门
# ## 1. 数据类型
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class Operator:
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# # Analyize Google Chrome history
#
# Idea and initial code taken from the [Analyzing Browser History Using Python and Pandas](https://applec... | analyze_chrome_history.ipynb |
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### imports
import numpy as np
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# Dependencie... | .ipynb_checkpoints/Minneapolis Weather-checkpoint.ipynb |
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# # 3D Segmentation with UNet
#
# [![Open In Colab](ht... | examples/notebooks/unet_segmentation_3d_ignite.ipynb |