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# <a href="https://colab... | ensign_trainer.ipynb |
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import os
import numpy as np
import pandas as pd ... | merge-from-GR.ipynb |
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#... | 2021cnps/notebooks/2021_0812cnps_tlpa_tSNE_plot.ipynb |
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# + [markdown] nbsphinx="hidden"
# This notebook is part of the $\omega radlib$ documentation: https://docs.wradlib.org.
#
# Copyright (c) $\o... | notebooks/radolan/radolan_network.ipynb |
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# + [markdown] colab_type="text" id="view-... | notebooks/extras/X1_Spotify_API.ipynb |
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# # DeepVCF: A Variant Caller u... | jupyter_nb/tutorial.ipynb |
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# import everything and define a test runner funct... | session1/complete/session1.ipynb |
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# ### 1 Suppose you toss a fair coin 10 ... | Financial Engineering & Risk Management/Introduction to Financial Engineering and Risk Management/Prerequisite Qualification1Probability(I).ipynb |
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# ## 尝试自己做一个线性拟合的例子
#
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import tensorflow as tf
imp... | src/.ipynb_checkpoints/linear_regression_test-checkpoint.ipynb |
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from pyspark import SparkContext, SparkConf
conf = Spa... | Basics.ipynb |
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# Plot ad hoc mnist instances
from keras.datasets impo... | hand_written_digit_recognition2.ipynb |
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# # Mastering PyTorch
#
# ## Supervised learning
#
# #... | code/section1/video1_3.ipynb |
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import sys
sys.path.append('../src')
from numpy im... | notebooks/Show_NuMaxEnergies.ipynb |
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# # This is a simple handwritting recognition example ... | Tensorboard/Tensorboard.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | introduccion_a_pandas_gc.ipynb |
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# # <img style="float: left; padding-right: 10px; widt... | content/sections/section2/notebook/cs109a_section_2.ipynb |
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# # NREL - HSDS Data Export
... | notebooks/06_data_export.ipynb |
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# This script extends the simple example posed in Comp... | GenericMarkovChain.ipynb |
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# ## ${\textbf{Libraries}}$
# +
import numpy as np
im... | 21 - Customer Analytics in Python/5_K-Means Clustering based on Principal Component Analysis/7_K-Means Clustering with Principal Components: Homework/Customer Analytics Segmentation 6.5 Homework.ipynb |
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import torch
import pickle
from torchvision impor... | src/inertia_bVAE/prototyping.ipynb |
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# # VSCode
# ## Extensions
# 1. [python](https://mar... | Tools/VSCode.ipynb |
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# ## FEC 2018 Campaign Finance:
#
# ### Contributions... | projects/FEC/2018/04c - 2018_CommitteeContributions_EDA.ipynb |
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import timeit
import numpy as np
import statsmodels.st... | notebooks/Stats Testing.ipynb |
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import pandas as pd
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import matplotl... | Multiple Linear.ipynb |
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# # Understanding Python
# Here I am listing my unders... | _posts/Understanding Python Basics.ipynb |
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import serial
import serial.tools.l... | piano_ultrassonico/Criar Sons.ipynb |
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# URL: http://matplotlib.org/examples/showcase/bachelors_degrees_by_gender.html
#
# Most examples work across multiple plotting backends equiv... | examples/gallery/demos/matplotlib/bachelors_degrees_by_gender.ipynb |
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# # Formally Defining Conditional Probabil... | 06-conditional-prob/definition.ipynb |
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import pandas as pd
import os
import yfinance as yf
im... | python/DataProcessing.ipynb |
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# http://scikit-learn.org/stable/modules/decomposi... | Chapter06/Ch_6.ipynb |
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# <h2> ===============================================... | MA477 - Theory and Applications of Data Science/Homework/Project 2 - Classification Models/Project 2 - Classification Models.ipynb |
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# 
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import Pkg
Pkg.activate(".")
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from QGL import *
from nist_APS2_converter impo... | pulseShaping/aps2Test.ipynb |
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# # "50 startups."
# ### _"Predict which companies to... | ML-101 Modules/Module 02/Lesson 02/startup-profit-prediction - Practice.ipynb |
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# # Lo que ve el SERVICIO -> Servicio!?
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import pa... | notebooks/ParsingPlFile.ipynb |
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# #!pip install gym-jsbsim
# #!pip install gym
# #... | notebooks/Tests_jsbsim.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | stellar_classification.ipynb |
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#dictionary is a key value pair
a = {1: "one", "class"... | dictionaries.ipynb |
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# Presented Below are two plots in subplot configurati... | modularPlanner/.ipynb_checkpoints/Cusp Plots (Daily)-checkpoint.ipynb |
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# default_exp main
from nbdev import *
fro... | nbs/90_main.ipynb |
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import pyaudio
import numpy as np
import wave
im... | .ipynb_checkpoints/AusculPi_main-checkpoint.ipynb |
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# brew install graphviz
# pip install graphviz
from gr... | trace_graph.ipynb |
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# # Serialising the Stars
#
# Noodles lets you run job... | doc/source/serialisation.ipynb |
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# # Visualization
import subprocess
modelName="yolo2... | 5.Visualization.ipynb |
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# Inaugural Project... | inauguralproject/inauguralproject.ipynb |
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# #... | 2 - Build Better Generative Adversarial Networks/Week 2/C2W2_Assignment.ipynb |
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# + [markdown] id="PZBWcFtBZXd5"
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# #Linear Regression
# + [markdown] id="u... | Hw1/hw1_310555029.ipynb |
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# # Calculating Merger Rate
#
# Calculating and plotti... | notebooks/MergerRate.ipynb |
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# Create a list that contains ZINC ids for the library... | static_files/tutorials/3cl-pro/ADVina/analyze/renameDocked.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + [markdown] hideCode=false hidePrompt=false
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# # Assignment:
# 1. Perform a fit on data using a lin... | Section 1/Part 2/1-2 Assignment.ipynb |
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# # KLIFS API
#
# Check out result values when using ... | docs/examples/klifs_swagger_api_example_usage.ipynb |
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# # Manejo de Errores y Excepciones
# En algunas ocas... | Modulo3/1. Manejo de Errores.ipynb |
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# # Simple Boston Demo
#
# The ability to use hierarch... | notebooks/tabular_examples/model_agnostic/Simple Boston Demo.ipynb |
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# # Math Module and its builtin functions
import math... | fourth class python.ipynb |
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# # Project: Identify Customer Segments
#
# In this pr... | Identify_Customer_Segments.ipynb |
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import shutil
import apiquery
import pandas as pd
... | 02.Code/03.Roberta Model.ipynb |
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# # Joint Measurements Kata
#
# **Jo... | JointMeasurements/JointMeasurements.ipynb |
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import numpy as np
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | module3-databackedassertions/Drive_LS_DS_113_Making_Data_backed_Assertions_in_class.ipynb |
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# # Backdoor Attacks-Resilient Aggregation based on Ro... | shfl/rfout.ipynb |
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def factorial(n):
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import urdubiometer
import json
gp = urdubiometer.Gra... | .ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="Ty1goXveqjte"
# #... | 03_TV Script Generation/03_Pytorch_TV_Script_Generation.ipynb |
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# + id="9gaZUs3rNLho"
# !pip install scikit-learn==1.0... | 6th Place - Click Click Boom/zindi_sentinel2_codes/step4.3_Slope_calculation_train_test.ipynb |
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# + [markdown] colab_type="text" id="i_f5u2x9nn6I" sli... | _site/notes/notes_ipynb/lecture3-linear-regression.ipynb |
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# original : http://www.voidcn.com/blog/u014365862... | tf_practice/1_classify_the_reviews.ipynb |
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# <img src='https://www.rc.colorad... | 07-spark-example.ipynb |
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# Install pip packages in the current Jupyter kernel
... | Tutorial filling in death declaration.ipynb |
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# # Kerja Gaya Gesek
#
# Sparisoma Viridi<... | assignments/05/10219048/work_of_friction.ipynb |
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# + [markdown] id="Y6DyphAUEBOi"
# # Lab 05: MobileNet... | Lab05/Lab05.ipynb |
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imp... | tests/Note.ipynb |
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# # Otter-Grader Tutorial
#
# This notebook is part of... | docs/tutorial/demo-fails3.ipynb |
# -*- coding: utf-8 -*-
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# # Spa... | introduction_to_applying_machine_learning/sparkmagic_sparkr/sparkmagic_sparkr.ipynb |
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# # R Bootcamp Part 5
#
# ## stargazer, xtable, and fixed effects regres... | Spring2020-J/Sections/Coding Bootcamp/Coding Bootcamp Session Part 5.ipynb |
# -*- coding: utf-8 -*-
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# # Logistic Regression
# * author: "<NAME>"
# *... | LogisticRegression/logisticRegression.ipynb |
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import pandas as pd
import seaborn as sns
import matpl... | daily kawish articles/Sample Notebook for Sindhi Kawish Articles.ipynb |
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load('../data_application/88soils/filter_onepercent/soils_ph_compLasso.R... | data_application/notebooks_application/4.2 88soils_results_filter1%.ipynb |
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import pandas as pd
# for plotting
import matplotlib.pyp... | Chapter05/Recipe-3-Discretisation-plus-categorical-encoding.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="vAgHg4cvmIDO" outputId=... | crypto_trend_analysis.ipynb |
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# <a href="https://githubtocolab.com/giswqs/geemap/blo... | examples/notebooks/56_local_data.ipynb |
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f... | uhecr_model/checks/random_ra/run_simulation_data.ipynb |
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# # FINAL PROJECT for CS 634
# ## Name: <NAME>
# ## T... | Chaudhari_veena_finaltermproj.ipynb |
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# ## The index of a saddle point
#
# We consider a *n... | content/prologue/index_of_a_saddle_point.ipynb |
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# ## _*H2 ground state energy computation using Iterat... | chemistry/h2_iqpe.ipynb |
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# # TensorFlow Tutorialの数学的背景 − MNIST For ML Begin... | 000_lib/haikei_2.ipynb |
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from qiskit.ml.datasets import breast_cancer
impor... | Quantum Machine learning.ipynb |
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# # 注意力评分函数
# :label:`sec_attention-scoring-functions`
#
# 在 :numref:`sec_nadaraya-watson`中,
# 我们使用高斯核来对查询和键之间的关系建... | tensorflow/chapter_attention-mechanisms/attention-scoring-functions.ipynb |
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# # %load HW2ofMLF.py
"""
Created on Mon Feb 22 15... | HW2_MLF.ipynb |
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import pybullet as pb
import numpy as np
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# # Feature Extraction and Selection
# This basic exa... | notebooks/examples/01 Feature Extraction and Selection.ipynb |
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# # Preprocessing steps
#
# ## 0) Read in data
# ## 1)... | notebooks/Preprocessing.ipynb |