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# # Pluto.jl + fastpages!
#
# > converting pluto... | _notebooks/2021-03-14-pluto-to-Jupyter-cleaned.ipynb |
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// # Interacting with the environments
// ##... | examples/rlly_introduction.ipynb |
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#Import dependencies
import pandas as pd
import numpy ... | HeroesOfPymoli.ipynb |
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import gym, sys
# %matplotlib inline
sys.path.app... | 6. Temporal Difference Learning/notebooks/Q-Learning.ipynb |
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import pandas as pd
import matplotlib.pyplot as p... | notebooks/Analysis_paper3.ipynb |
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# # 7.3 谐振子量子计算机
# 该节中的 5 个练习，实际上是让读者在基于位置算符与动量算符的对易关... | source/chap_07/sec_07_03.ipynb |
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# %matplotlib inline
# Assuming we are in the not... | behavioral/notebooks/Checking the Post-Modelling Data.ipynb |
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name = str(input("Please enter your name"))
age = int(... | ageinput.ipynb |
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import casadi as ca
import numpy as np
import matp... | lectures/08-Trajectory-Optimization.ipynb |
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# # Introduction : Internet scan and Archi... | Internet_wide_scan/Internet_scan.ipynb |
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# # Exercise #2
# Write a function that asks the user... | 12 exercise.ipynb |
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import os
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import files_process_save as fps
import pathlib
import... | sludge age and f_m upload.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 4.k-means/k_means_sklearn_clustering_iris.ipynb |
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# # Logistic Regression: cat or dog?
# In this lab you... | cats_lab.ipynb |
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# # sql-challenge bonus
# +
# Import pandas, matplot,... | EmployeeSQL/sql-challenge bonus.ipynb |
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print(__doc__)
# Author: <NAME> <EMAIL>
# License... | lab_1/tests/lab_1_test.ipynb |
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# + [markdown] Collapsed="false"
# # StarAI flow - ... | note/01-mercs-robust/flow-demo.ipynb |
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# Code without visible output:
a <- 8
b <- 4:59
# With visible output... | Demo.ipynb |
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# # Dask scheduling - abandoned example
# za https://... | research/Dask-scheduling.ipynb |
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# # Training and Testing Datasets
# Author: <NAME>
# ... | assets/nb-lessons/06_training_and_datasets.ipynb |
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# <center><img src="images/DLI Header.png" alt="Header... | Notebooks/.ipynb_checkpoints/01_ObjDetect-checkpoint.ipynb |
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# # "Python basics"
# > "파이썬 기초"
#
# - toc:true
# - br... | _notebooks/2022-03-21-python-basics.ipynb |
# -*- coding: utf-8 -*-
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σ = 10
ban... | nbs/Untitled.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/ml/fe/exercises/intro_to_modeling.ipynb |
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"""Tutorial: Symmetry-Adapted Perturbation Theory ... | Tutorials/07_Symmetry_Adapted_Perturbation_Theory/7b_sapt0_ao.ipynb |
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import os
import pandas as pd
import numpy as np
i... | LGBM(41)/LGBM1(41).ipynb |
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# # Exploratory Data Analysis of DICOM datasets
#
# > ... | 3D_medical_data/exploratory_data_analysis/DICOM Volume EDA tutorial.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# <di... | challenges/ibm-quantum/qgss-2021/lab-3/lab-3-ja.ipynb |
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print("input word:")
word = input("> ")
lw = len(w... | code_exercise/palindrome.ipynb |
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# <img src="images/onnx.png" width=700 align='left'>
... | 05-ONNX.ipynb |
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# Copyright 2021 Google LLC
#
# Licensed u... | examples/gsheets_to_cx.ipynb |
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# # Init
import pandas as pd
import seaborn as sns
fr... | titanic.ipynb |
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# # EDS Case Study
#
# Exploring changes in political ... | eds04_gss_worldview.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | EmotionDetection.ipynb |
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# %run lib.py
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sim = joblib.load('data/sim_lapi... | sources/08-faddis-thematic-clusters.ipynb |
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# ## Module Import
import numpy as np
import torch
im... | example/11-RNN.ipynb |
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# <a href="https://colab.research.goo... | Anomaly_and_association.ipynb |
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import tensorflow as tf
from tensorflow_probabili... | Chapter02/ch2_vae_mnist.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplot... | overview_val10/overview_junk/overview_11869-gdf_z_score.ipynb |
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from pyspark.sql import SparkSession
spark = Spar... | movingAverage.ipynb |
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# + [markdown] colab_type="text" id="JD0Eu7JWdVqY"
# #... | app_moun.ipynb |
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# 最原始的打开文件， 但是这里会有异常
file=open("file1.txt", "r")
data... | mofanpython/TryWith.ipynb |
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#rdkit関連のimport
from rdkit import Chem... | RandomForest/Ames_RandomForest.ipynb |
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import pandas as pd
import numpy as np
import skle... | scoring/.ipynb_checkpoints/Predicting daily vaccines and Scores-Copy2-checkpoint.ipynb |
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# # Gasific
# ### Biomass gasification reaction
#
# CH$_a$O$_b$N... | gasific.ipynb |
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# <img style="float: center;" src="images/CI_horizontal... | 05_Machine_Learning_solutions/05_02_Machine_Learning-UMETRICS.ipynb |
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# %%capture
# Compile and import local pyrossgeo m... | examples/ex1-age-structured-SIR-on-a-single-node/ex1-age-structured-SIR-on-a-single-node.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | tutorials/W2D1_DeepLearning/student/W2D1_Tutorial2.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
# ... | Python/Homework_1_Code.ipynb |
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# + id="zp8bVvmFO1B8"
# Copyright (c) 2021 <NAME>, <NA... | transformers_notebook/Ethical_Principles_Comparison.ipynb |
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import matplotlib.pyplot as plt
import numpy as np
c... | perceptron/perceptron.ipynb |
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# This notebook was prepared by [<NAME>](https://githu... | sorting_searching/new_int/new_int_solution.ipynb |
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# # Multi-Link usage: CHP with fixed heat-power ratio
... | examples/notebooks/chp-fixed-heat-power-ratio.ipynb |
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# # Extract bioRx... | 01.extract-preprints.ipynb |
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# # Amazon SageMaker Autopilot Data Explora... | notebooks/week 3/SageMakerAutopilotDataExplorationNotebook.ipynb |
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def apply_model(rng, state, batch):
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# <a href="https://colab... | Backend.ipynb |
# -*- coding: utf-8 -*-
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# # Measurements Kata Workbook, Part... | Measurements/Workbook_Measurements_Part2.ipynb |
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# Examples of One Dimensional plotting
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# # Technical Analysis Fu... | DataTest.ipynb |
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# + id="pEPILJKDXwn-" colab_type="code" colab={"base_uri": "https://localhost... | matrix_two/matrix2_day2_visualisation.ipynb |
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# # Continuous Control
#
# ---
#
# ## 1. Import the Necessa... | Projects/p2_continuous-control/.ipynb_checkpoints/DDPG_20-checkpoint.ipynb |
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# # Data Clean up and Analysis
# +
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import requests as rq
x=12
param = {'id':'heyThere... | IoT/API_3.ipynb |
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# + [markdown] _cell_guid="128cea0c-f1d9-8159-671c-8b3... | quora/solution/Importance of a Linguistic Pre-processing .ipynb |
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# ## Read data from <NAME>'s OpenCTD instruments
#
# S... | code.ipynb |
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# + id="pSdwjT9JdSrf"
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from sepal_ui import sepalwidgets as sw
from componen... | ui.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | kaggle_notebooks/approximating-polygon-curve.ipynb |
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# # Lede Algorithms -- Assignment 1
#
# In this assign... | week-1/week-1-homework.ipynb |
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# # Terminal
#
# JupyterLab (and many other applicatio... | notebooks/Examples/Terminal.ipynb |
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# + provenance=[{"end_time": "Unknown", "e... | Manipulating_Strings.ipynb |
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import torch.nn as nn
import torch
# ### $nn.LSTM$
l... | Pytorch/Pytorch_learn_by_dragen1860/lesson48-LSTM-Layer.ipynb |
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import tweepy
from tweepy import OAuthHandler
from textblob import TextBlob
#plot
import matplotlib.pyplot as plt
# -
cl... | sentiment-analysis/sentiment-analysis.ipynb |
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# + [markdown] id="p0RViFUHZ4PH"
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# # Linear Regression to Predict Height From Weight
#
... | 01_LinearRegression.ipynb |
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# # Summary
#
# ## Pros
#
# Can fit high-dimensional f... | notebooks/Learning Units/Logistic Regression/Logistic Regression - Chapter 3 - Summary.ipynb |
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# Sets the number of lecture files to replace based of... | Fetch_2022.ipynb |
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# %autoreload
import seaborn a... | logging/generate_scaling_plots.ipynb |
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# # Agile systems
# ## Overview
# BioSTEAM is able t... | docs/tutorial/Agile_systems.ipynb |
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# # Computational Neuroscience Crash Course (2021)
# *... | project/project-2021.ipynb |
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# title: "Agent Based Models with R and Netlogo"
# output: html_document
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# ## Learning Objectives
# By the end of this practical lab you will be able to:
#
# * Understand how to setup and link R to Netlogo
# * Specify and run a basic ABM
# * Export outputs from Netlogo models into R
#
# ## Setup and instal... | notebooks/P14_ABM.ipynb |
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# %matplotlib inline
### import libraries
import... | Capstone project- HealthCare .ipynb |