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# ## This code is a demo for calling the Restartr API.... | clinical-demo-notebooks/RestartrApiDemo.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | dl-hack-track-1.ipynb |
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import pandas as pd
import glob
# All file... | SocialMedia_Analysis.ipynb |
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# # Reflecting Bear
# ## Background
# Panda Bear is co... | assignment-3/reflecting-bear.ipynb |
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# <img src="https://cybersecurity-excellence-awards.co... | examples/Enterprise/Darwin Supervised Classification Example.ipynb |
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# # Linear Regression
import numpy as np
import panda... | Machine Learning/Linear Regression/Linear Regression-1.ipynb |
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# %%writefile myfile.txt
hello
this is a text file
m... | IO with basic Files in Pythons.ipynb |
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# Import required modules
... | notebooks/applianceUsage.ipynb |
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# # Data Load
# ### Install Packages, load data
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... | src/data/.ipynb_checkpoints/data_load-checkpoint.ipynb |
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#r "nuget:MNCD,1.0.0"
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using MNCD.C... | examples/multi-layer.ipynb |
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# # TP3 Kernel Methods for Machine Learning
# setup
i... | Kernel-Method-for-ML-Codes/.ipynb_checkpoints/TP3-checkpoint.ipynb |
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import pandas as pd
tip = pd.read_cs... | notebooks/exploratory/1-clean/1.5-clean-tip-data.ipynb |
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# # EGS master catalogue
# ## Pr... | dmu1/dmu1_ml_EGS/1.10_PanSTARRS1-3SS.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 001.ipynb |
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# # Titanic Survival Machine Learning Mode... | Supervised Learning/Model Automation/Titanic-ml.ipynb |
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"""
In theory this should work with reasonable out... | code/ppms/17_11_28_ppms_stats.ipynb |
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# # TFLite Converter with TensorFlow 2.x
#... | Notebooks/0 - TF2.X Tutorials/tf_2_tflite_conversions.ipynb |
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# # Beta Extraction
#
# Replicating LSA regression us... | notebooks/BetaExtract.ipynb |
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# + [markdown] id="59741d6d-450a-485e-b7ab... | New_model.ipynb |
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# # 深度学习简介
#
# 你可能已经接触过编程,并开发过一两款程序。同时你可能读过关于深度学习或者机器学... | 1.chapter_introduction/deep-learning-intro.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | main.ipynb |
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# + [markdown] papermill={"duration": 0.032637, "end_t... | BERT_with_MT.ipynb |
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# # Lecture 60: Activity recognition using CNN-LSTM
# ... | lecture60a.ipynb |
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# # Zachary's Karate Club Community Detect... | examples/community/python/example_karateclub.ipynb |
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# #### validation or kfold is not added and also data ... | Inference/unet-pretrained-ensemble-starter-draft-1.ipynb |
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# # Process
# - A running instance of a computer progr... | src/multiprocessing.ipynb |
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import numpy as np
# ## Concat
#
# A... | notebooks/Python/NumPy/Numpy_concat_append_ravel_mgrid.ipynb |
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# # Encapsulation in Python
# <ul><li>Enc... | WEE11/Week 11 - Encapsulation Practice.ipynb |
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# # CSE 110 Week 7
#
# ## 07 Prove: Assign... | jupyter-notebook-CSE-110/week07-prove-assignment.ipynb |
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# # Bayesian Statistics Seminar
#
# Copyright 2017 <NA... | seminar04.ipynb |
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from numpy import *
from numpy.random import *
imp... | AxionCPV.ipynb |
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# # Variational Quantum Eigensolvers... | VQE/vqe_molecular_example.ipynb |
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# # Basic training functionality
# + hide_input=true
... | docs_src/basic_train.ipynb |
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with open('1.txt') as f:
arr=[]
fo... | 1/aoc2021_1.ipynb |
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# # GLAM CSV Explorer
#
# [View code at GitHub](https:... | csv-explorer.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="4GDelxAZefoW" outputId=... | Python_basics.ipynb |
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# # Variant effect prediction
# Variant effect... | notebooks/variant_effect_prediction.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | Udemy/Refactored_Py_DS_ML_Bootcamp-master/15-Decision-Trees-and-Random-Forests/02-Decision Trees and Random Forest Project.ipynb |
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# # Sweeps - Capacitance matrix
# ### Prerequisite
# ... | tutorials/4 Analysis/C. Parametric sweeps/4.21 Capacitance matrix.ipynb |
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# # EPS VGEO X-ray 18MV water phantom simulation
#
# `... | bench/plots/multi-thread/eps-vgeo-x18.ipynb |
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# # Stablecoin Billionaires<br> Descriptive... | data_analytics.ipynb |
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# # Module 3 Discussion Grading - Peer Evaluation Grad... | CONS 302 101 2021W1 Module 3 Discussion Grading - Peer Evaluation Grade Calculation.ipynb |
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# ##### (exceprt from Pyth... | 4_archmage/1.1.1. Perceptron and Adaline.ipynb |
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# # Data analyses in Python
#
# Imagine you have a `.c... | notebooks/python_statistics.ipynb |
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% # <center>Alkalmazott Analízis I... | 7.feladatsor.ipynb |
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import numpy as np
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# + id="MTv5tY1iw9w6"
import numpy as np
import pandas... | positional-embedding.ipynb |
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# + [markdown] id="wKY1p5iyzY0f"
# # Final project - Applied Mathematics
#
#... | AppliedMathematics_FinalProject.ipynb |
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# # Exponential Distribution
#
# The Exponential distr... | fundamentals_2018.9/distributions/bestiary/exponential.ipynb |
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# # Introduction to Regular Expressions in Python
#
#
... | lectures/12-regular-expressions/re.ipynb |
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import selenium
from selenium import webdriver
fro... | fb_login_using_selenium.ipynb |
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# # Markov model using Sos... | notebook/markov_soss/markov_soss.ipynb |
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# # Image recognition android application project
# - ... | Image_recognition_DeepLearning_Models/20200823_Model_Selection_with_more_data/3_Baseline_CNN_with_flower_dataset.ipynb |
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import os
from dotenv import load_dotenv, find_dot... | data_science/code/modeling/chemostat_0.12/conc2count_acetate.ipynb |
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# <img src="https://image.aladin.co.kr/product/16902/1... | Chapter_9.ipynb |
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ls -lah ../ref
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# ... | mocs/aat_ms5/programs/aat_ms5.ipynb |
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from os import path
fro... | notebooks/RAKE.ipynb |
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! [ -e /conte... | nbs/31_text.data.ipynb |
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import random
from deap import creato... | notebooks/DEAP Playground.ipynb |
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# # Sentiment Classification for Movie ... | 2.nlp/02_sentiment_classification_navermovie_kor.ipynb |
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# # Accounts Merge
# Given a list of accounts where each element ... | python-data-structures/interview-fb/accounts-merge.ipynb |
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# + dc={"key": "4"} deletable=false editable=false run... | DataCamp_Projects/The-Android-App-Market-on-Google-Play/notebook (2).ipynb |
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import pandas as pd
import os
# # Dataset
SimilarPa... | lfw-ds.ipynb |
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... | pyqstrat/src_nb/markets.ipynb |
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# # Tutorial: How to use weirwood pyfinance API... | pyfinance example.ipynb |
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from skimage import data, color
import numpy as np
imp... | courses file/image processing in python/capter1.ipynb |
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# + [markdown] colab_type="text" id="T8IkEZ1mF3MP"
# #... | notebook/mec-18.5.1-time-series-analysis-mini-project/Mini_Project_Time_Series_Forecasting.ipynb |
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# ## Regression with BIWI head pose dataset
# This is... | dev/course/lesson3-head-pose.ipynb |
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# ## Example Without Render
import gym
import gym_gv... | sketch.ipynb |
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# # Output models
# Class models for different types ... | data/notebooks/Lab/marxan_outputs.ipynb |
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# # Offline Plotting Tutorial
#
# The new dataset come... | docs/examples/DataSet/Offline Plotting Tutorial.ipynb |
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# # Import... | .ipynb_checkpoints/car-lane-detection-checkpoint.ipynb |
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# # December 2017: Advent of Code Solutions
#
# <NAME>... | ipynb/Advent 2017.ipynb |
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# %pylab inline
from astropy.io import fits
import... | data/compare_data/compare_properties.ipynb |
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# # 4.10 – Practice Problem 1
#
# ## Question
#
... | Modules/Module-4-Separation-II/4.10 - Practice Problem 1.ipynb |
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from ty... | notebooks/1.2-hcm-crop-images-faster.ipynb |
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# # Personal tweets sentiment analysis
#
# ## This pap... | Tweet_sentiment.ipynb |
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# Date: 26/12/2020
# # Building a Deep Neural Network... | Machine Learning/Building DNN from scratch/Building DNN from scratch.ipynb |
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# # Make SMIRKS from clustered fragments
#
# This note... | examples/smirks_from_molecules.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | python_csv.ipynb |
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import itertools as it
im... | demos/fast_gather_gene_sets.ipynb |
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# # Load dataset
from pandas_overview import DataFram... | notebooks/01 - GAP network scan.ipynb |
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# # Reviews Classification with BERT Using Pytorch
# ... | BERT with Pytorch.ipynb |
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# # Equation of State (EOS) for a Real Gas
# ## Chem... | courses/Ch16_EOS/eos.ipynb |
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imp... | Chapter 3 - Point and Interval Estimation.ipynb |
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# # Scraping Google Images
... | notebooks/01_scrape_google_images.ipynb |
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# # LAB 3b: BigQuery ML Model Linear Feature Engineer... | courses/machine_learning/deepdive2/structured/labs/3b_bqml_linear_transform_babyweight.ipynb |
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# + id="vnRzMA4KfJy5"
# + [markdown] id="PsOpdI2tLtUM"
# ## STATSMODEL
# +... | Recognising_Trend_in_Time_Series_Data.ipynb |
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print('''创建数组''')
arr1 = np.array([... | Practice.ipynb |
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# ## Practice
# ### Write a program that goes over(it... | core/FizzBuzz.ipynb |
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import time
import numpy as np
import h5py
imp... | 01神经网络和深度学习/Code编程作业/deeplearning第1专题编程作业/deeplearning编程作业/week4/Deep Neural Network Application Image Classification/第四周-一步步搭建多层神经网络以及应用2-图像分类.ipynb |
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# ## Instructions
#
# Write a program that... | Day-3/3. Leap_Year.ipynb |