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// <p style="float: left;"><a href="variance... | notebooks/scala-tour/upper-type-bounds.ipynb |
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println("Hello World") // make sure we're... | module2-scala-for-spark/scala-practice.ipynb |
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# ### Análise de ajustes
# ###... | 02_analise_ajustes.ipynb |
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# # Entrenamiento del Modelo de Asignación Latente de ... | modulo2/tema4/3_lda_inf_variacional.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | notebooks/3) Exploratory Analysis.ipynb |
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# # Detailed analysis of results.
# This notebook loads the output of t... | genomics/jupyter/R/examine_and_save_results.ipynb |
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import keras
from keras.models import Sequential
f... | keras_theano/test_keras_mlp_graph_join.ipynb |
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# # SDSS eBOSS Da... | 01_Intro_to_Reading_Processing_and_Plotting_SDSS_data.ipynb |
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from bs4 import BeautifulSoup
import re
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def remo... | RemoveNoise.ipynb |
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from keras.models import Sequential
from tensorflow.ke... | .ipynb_checkpoints/main_deep_learning-checkpoint.ipynb |
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# # Lorenz Attractors
#
# The Lorenz attractors are a ... | Lorenz 1 Attractors.ipynb |
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# <div style="height: 79px; margin-right: 110px;"><img... | jupyter-default-notebooks/notebooks/README.ipynb |
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from refnx.dataset import Data1D
from refnx.dataset im... | eggs_simple.ipynb |
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# Copyright (c) Microsoft Corporation. All rights rese... | project-brainwave/project-brainwave-custom-weights.ipynb |
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# ## Observations and Insights
# The more effective t... | Pymaceuticals/.ipynb_checkpoints/pymaceuticals_starter-checkpoint.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | analysis/spiralAnalysis.ipynb |
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def loadSimpDat():
simpDat = [['r', 'z', 'h', 'j',... | ML/FP-1.ipynb |
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import scrapy
import scrapy.crawler as crawler
from mu... | crawler/Python-crawler.ipynb |
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# # Training Batch Reinforcement Learning Policies wit... | reinforcement_learning/rl_cartpole_batch_coach/rl_cartpole_batch_coach.ipynb |
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# + [markdown] id="zo3jk2Ckl5bG"
# 範例目標:<br>
# 1. 實做繪製圖表
# 2. 藉由圖表對資料有初步認識，並解... | Sample Code/Day_12_SampleCode.ipynb |
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# # Sentiment Analysis with an RNN
#
# In this noteboo... | sentiment-rnn/Sentiment_RNN_Solution.ipynb |
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# #%%appyter init
from appyter import magic
magic.init... | appyters/Enrichr_Manhattan_Plot/Enrichr_Manhattan_Plot.ipynb |
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# # 一、... | crawler/feature_engineering.ipynb |
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# # LiH molecule
#
# ## Origin of this method: Low ran... | LiH_trotter.ipynb |
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options(strin... | Extra/BoneMarrow_noisy_p2/test_peaks/Control/make_plots_Control.ipynb |
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# # Клас контейнер на *Python*
# Створимо базовий клас... | Notebooks/3hird/Python.ipynb |
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@variables Rational{BigInt... | examples/FGb.ipynb |
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... | Notebooks/Reconstrucion/XGBReconstruction.ipynb |
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# # Introduction to Probability and Statistics
# |
# In th... | 1-Introduction/04-stats-and-probability/notebook.ipynb |
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# # Classification (Bayesian) of the Palme... | PalmerPenguins_Python_pymc3.ipynb |
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# # Part 1
import pandas as pd
df = pd.r... | 2021/day1/day1.ipynb |
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# # Training Neural Networks
#
# The network we built ... | intro-to-pytorch/Part 3 - Training Neural Networks (Exercises).ipynb |
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# # Lateral fill on model grid
#
# This example shows ... | docs/source/examples/lateral-fill-model-grid.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 02_Feature_Engineering.ipynb |
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class Sigmoid:
def __init__(self):
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import tensorflow as tf
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# ## Annotate Stories against KG
#
# In this notebook,... | 04-topic-identification/src/01-annotate-stories.ipynb |
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# Data processing libraries
import pandas ... | BHI_BSN_test.ipynb |
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# # Supplementary Practice Problems
#
# These are simi... | labs/Lab06S_Notes.ipynb |
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# ## Employing a Multi-target regression (MTR) strateg... | src/mtr/mtr_horizon_prediction.ipynb |
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# #... | 04_LE/LE.ipynb |
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# ## Housing Case Study
# Problem Statement:
#
# Cons... | Linear Regression/Housing Case Study.ipynb |
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# # NETCONF/YANG
# This notebook goes through a set of... | netconf/ncc/notebooks/NC-background.ipynb |
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# # Integrating scATAC-seq data using SCALEX
# The fo... | docs/source/tutorial/Integration_scATAC-seq.ipynb |
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# %matplotlib inline
#
# # Extra New Material BK7
#
... | docs/source/auto_examples/Extra/Extra:New-Material-BK7.ipynb |
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# # CNN Training
#
# Target of this code i... | Train_CNN_Digital-Readout-Small-v2.ipynb |
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# ## 1. Setup
import sys
sys.path.append('..')
# +
i... | 2018-2019/project/saliency_maps/crop_images_from_dir_and_save_all_for_sal.ipynb |
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# ##### Bus
#
# This bus has a passenger entry and exi... | bus/bus.ipynb |
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# + active=""
# # Copyright 2020 (c) Cognizant Digital... | thin/work_lgbm_geoid_temp_trainAll/train.ipynb |
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# + [markdown] tags=["header"]
# <table width="100%">
... | notebookToHtml/biosignalsnotebooks_html_publish/Categories/Load/open_txt.ipynb |
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from Vaults_lib import *
import pprint
# +
# Collect ... | YearnVaultsSimulation/old/v4/v4gasfee/funds5_1-with gas fee-211021.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | TextAnalytics/NLP_Text_classification.ipynb |
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# # Project 8: Backtesting
#
# In this project, you wi... | Building a Bactester/home/project_8_starter.ipynb |
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# ## Importing and prepping data
import pandas as pd
... | notebooks/development/10_11_18_pca_Emily_corona_roc_curve.ipynb |
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import cv2
import numpy as np
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# Importing libraries
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# Th... | Statistics/normal_Distribution_Area_Under_Curve.ipynb |
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# ##... | notebooks/logging/icecream/summary.ipynb |
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# ### Requires ImageMagick
# To add text, you must ins... | tutorial-reference/Day 15/notebooks/5 - Overlay Text, Image or Video.ipynb |
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impo... | Shap_FeatureSelection/Shap_FeatureSelection.ipynb |
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# # Part I. ETL Pipeline ... | Project_1B_ Project_Template.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | DataHandling/Assignment4.ipynb |
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# !pip install mitdeeplearning
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# Import Tensorflo... | code/RNN Practice (MIT 6.S191).ipynb |
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def maxProfit(prices):
if prices == [] or len(pric... | 121_Best_Time_to_Buy_and_Sell_Stock.ipynb |
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# # Bayesian Convolutional Neural Network
#
# > In thi... | _notebooks/2021-08-26-01-Bayesian-Convolutional-Neural-Network.ipynb |
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# # Introduction to Deep Learning with PyTorch
#
# In ... | intro-to-pytorch/Part 1 - Tensors in PyTorch (Solution).ipynb |
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import numpy as np
import pandas as pd
import seaborn ... | EDA_old_dataset.ipynb |
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# + [markdown] papermill={} tags=[]
# <img width="10%"... | WorldBank/WorldBank_GDP_per_country_and_evolution.ipynb |
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# + id="jagco6YcuMT4" colab_type="code" colab={"base_uri": "https://localhost... | matrix_two/day3_feature_engenering.ipynb |
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import pandas as pd
import glob
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import keras... | energy_estimation/Energy_estimation.ipynb |
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# ## [教學重點]
# 學習使用 sklearn 中的 linear regression 模型，並理解... | homeworks/D038/Day_038_regression_model.ipynb |
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# 10727109 林亞岑
fileTitleNum = ""
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class Scho... | ex06/10727109/DS1ex#6_10727109.ipynb |
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# ## Learning Objectives
#
# 1. Plotting a dataframe
#... | module_5_visualization/line_plots.ipynb |
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# !pip install tensorflow
# !pip install tensorflow-hu... | .ipynb_checkpoints/JermaHighlightVideoMaker-checkpoint.ipynb |
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# 加载预训练的 Inception V3 模型
from keras.applications impor... | 8.2 使用keras实现DeepDream.ipynb |
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# %matplotlib inline
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RESULTS_P... | analysis/Experiment Analysis.ipynb |
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# # Welter issue #1
# ## Telluric Absorption Lines and... | notebooks/welter_issue001-01_Spectral_Response_Functions.ipynb |
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import sys
sys.path.append("../")
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from pathlib im... | legacy/notebooks/Language Model - Unigram - Transformer.ipynb |
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# ### CIR model for interest rates and liability hedgi... | cir.ipynb |
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# LSTM for international airline passengers problem wi... | 2018-06-27.ipynb |
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# + [markdown] id="ELNDFgkVdPcr"
# # Artificial Neural Networks
#
# It consis... | 1_Artificial_Neural_Nets.ipynb |
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# + slideshow={"slide_type": "skip"}
import pandas as ... | Resultados-G9.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
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# # Conventions
#
# Here, we will outline some of the ... | docs/source/user_guide/Conventions.ipynb |
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# # How Python Manages Memory #
#
# Python is a *dynam... | How Python Manages Memory.ipynb |
# -*- coding: utf-8 -*-
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library(ggfortify) # autoplot
library(dplyr) ... | 1st semester/01.LinearRegression/Final-Test/Final-GooglePlay-Game.ipynb |
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# ### Data exploration, feature engineering и predicti... | notebooks/Fifa18-explore.ipynb |
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# Agenda:
#
# - What is micropython
#
# ### Using Micr... | OVERVIEW.ipynb |
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import pandas as pd
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trai... | Chapter08/BN.ipynb |
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# # Descarga de datos del fichero de Indicadores de Se... | .ipynb_checkpoints/scrap_pdf_extremadura-checkpoint.ipynb |
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# # pip install matplotlib ... | src/test/datascience/widgets/notebooks/matplotlib_multiple_cells_widgets.ipynb |
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"""Tutorial: Introduction to the Spin-Orbital Form... | Example/Psi4Numpy/08-CEPA0andCCD/8a_Intro_to_spin_orbital_postHF.ipynb |
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# # Lab 5: Simulations
#
# Welcome to lab 5! This week... | lab05/lab05.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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