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# %matplotlib inline
# %config InlineBackend.figure_fo... | quantum gravity/convwave/src/jupyter/real_signal_in_detector_recording.ipynb |
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from singan_polyp_aug import generate_data, prepare_r... | notebooks/generate_singan_data.ipynb |
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# # Hypothesis testing
#
# In this notebook we demonst... | nhanes_hypothesis_testing.ipynb |
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import matplotlib.pyplot as plt
import mat... | udacity-program_self_driving_car_engineer_v1.0/project03-lane_detection_basic/Finding Lane Lines.ipynb |
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# ___
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# <a href='http://www.pieriandata.com'> <img s... | 03-Python-for-Data-Analysis-Pandas/04-Missing Data.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | Fuel_efficiency_prediction/.ipynb_checkpoints/Housing_price-checkpoint.ipynb |
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# name: python371jvsc74a57bd0c850e6f77ff7c9cbece5364f8526ec4... | minimal_colbert_usage_example.ipynb |
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# %reload_ext autoreload
# %autoreload 2
from recon.a... | examples/6.2_augmentations_test.ipynb |
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# ## Kompletny p... | example_complete.ipynb |
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import numpy as np
import matplotlib.pyplot as pl
impo... | 2016 PyCologne CVXPY/Plots.ipynb |
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# # About `pandas`<br>`pandas` 소개
#
#
# ## 참고문헌<br>Re... | 00_introduction/50_pandas.ipynb |
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import numpy as np
# # Temoa's model
#
# ## Hydrogen ... | fuel-analysis/temoa-model.ipynb |
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# %matplotlib inline
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# # Alternating text and code
... | resources/.ipynb_checkpoints/plot_parse-checkpoint.ipynb |
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# # ENV / ATM 415: Climate Laboratory, Spring 2016
#
#... | assignments/Assignment03.ipynb |
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# ## Ordering features by importance (rxn-physi... | notebooks/0.3-mbto-features_to_weights.ipynb |
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from IPython.core.display import display, HTML
displa... | notebooks/dl-chollet/scripts/Reuter News Multiclass Classification.ipynb |
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# # Deep-Learning-Interview_Part_1
#
# >本文原作者<NAME>，本文... | Deep Learning Interview.ipynb |
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# # Linear Regression Using Scikit-Learn
# This is th... | src/00scikit-linear-regression.ipynb |
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# # Regularized Logistic Regression
# In this part of... | Week 3 - Logistic Regression/Regularized Logistic Regression.ipynb |
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# !jupyter nbconvert --to script lesson3-planet.ipynb
... | amazon_from_sky/lesson3-planet.ipynb |
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# # step 1:write a fn that can print out a board .set ... | TIC TAC TOE.ipynb |
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# # CrossfilterCharts.jl
# CrossfilterCharts.jl is... | docs/CrossfilterCharts.ipynb |
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# + [markdown] id="a182c10f"
# # Autoencoders and POD ... | examples/basic_usage_fpc.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | waifu_gpt2.ipynb |
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# # N... | Nearest Neighbors.ipynb |
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# + [markdown] id="<PASSWORD>"
# # IBM Streams SPL T... | Streams-SPLToolkitsTutorial.ipynb |
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# # [IAPR][iapr]: Lab 2 ‒ Object description
#
#
# **... | Jiaan_lab_02_object_description.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}... | Spring2017-2019/17-LinProgSimplex/Seminar17en.ipynb |
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# # Dicts
import pandas as pd
from collections import... | Dicts.ipynb |
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# # day 12: Stochastic Gradient Descent
#
# # Objectiv... | labs/day12_StochasticGradientDescent.ipynb |
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# #!pip install numpy scipy matplotlib ipython sci... | doc/Programs/JupyterFiles/Examples/Lecture Examples/Morten Lecture Data Examples.ipynb |
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# # Seed List Cleanup
#
# Prepare a clean list of seed... | cc_pseudo_crawl/sourcing_sheet_seeds/cleanup-seeds.ipynb |
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# # Solution Notebook
# ## Problem: Implement Count s... | sorting_searching/counting_sort/counting_sort_solution.ipynb |
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# ### Reading data
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import pandas as pd
import num... | Python/jupyter/sonar_outliers_reaserch.ipynb |
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# fix python path if working locally
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# lime_explain.py
# sudo -E /opt/tljh/user/bin/pip... | src/interpretability/lime_explain.ipynb |
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# # Laden von böntigeten Softwarebibliotheken und Fest... | NASA Turbofan Engines - Data Analysis, Preparation & Modelling.ipynb |
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# # Extract Datasets and Establish Benchmark
#
# **Lea... | courses/machine_learning/deepdive/01_bigquery/labs/c_extract_and_benchmark.ipynb |
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# Visualising high dimensional spaces using Bayesian G... | notebooks/GPLVM.ipynb |
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# # Numerical linear algebra
versioninfo()
# ## ... | slides/08-numalgintro/numalgintro.ipynb |
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import pandas as pd
from sklearn import linear_model
i... | Car Model LinearRegression.ipynb |
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# ## Getting API working
# importing API
import quand... | notebooks/model/housing/exploring_housing_data_api.ipynb |
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# # Evaluation and grading
#
# ## Summary and grading ... | mini_book/_build/jupyter_execute/docs/eval_grades_py.ipynb |
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# ## Summarizing recommended sample sizes fo... | Simulating-MinimumData/.ipynb_checkpoints/SummarizingSuggestions-checkpoint.ipynb |
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import json
data_json = '[{"name":"KUKA Towards D... | stats/Plot_Odom.Backwards-Method-Straight-KuKa-[30012020].ipynb |
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# Start each lab by giving an overview of what to expe... | misc/jupyter_lab_template/appName/English/Fortran/jupyter_notebook/appName_fortran_lab1.ipynb |
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import psycopg2
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from... | notebooks/4.0-jab-stop-segment-timing.ipynb |
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import pandas as pd
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import os
pd.... | fuzzy-augmented-match-centroid-pipeline/lof-feature-generation-dev.ipynb |
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# <div class="alert alert-block alert-info" style="mar... | Data Analysis with python/DA0101EN-Review-Introduction.ipynb |
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# # 3.0 Data Preparation
# select and cleanse data
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# + id="gf2TE3_LDgze"
# %pylab inline
# %config Inline... | Homework 7 Problems.ipynb |
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# + [markdown] id="YkxT5pP2zt7q" colab_type="text"
# # "The 4 Covid personali... | _notebooks/2020-09-18-the-4-covid-personality-types.ipynb |
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import torch.nn as nn
from torch_geometric.dataset... | PC-NBV/RGCNN_notebooks/Atempt_RGCNN_with_classes.ipynb |
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# default_exp utils
# -
# # utils
#hide
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# # Spark SQL Analytics with the Iguazio Data Science ... | getting-started/spark-sql-analytics.ipynb |
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# # Compute LCMV beamformer on... | 0.12/_downloads/plot_lcmv_beamformer.ipynb |
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# # Introducción
#
# En este listado de ejer... | api-odoo/Ejercicios_API_externa_de_Odoo_resueltos.ipynb |
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# + [markdown] id="ezGsF9F5lXfg"
# # Lista de Exercício 03:
# + [markdown] i... | 01 - Python para Zumbis/PPZ_03.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Day2_Data_Science.ipynb |
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# name: conda-env-miniconda3-python-tuto... | alaska_storms/alaska_hysplitgen.ipynb |
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# ### Solve system of eq... | Gaussian elimination - infinite solutions.ipynb |
# # Adaptive Boosting (AdaBoost)
#
# In this notebook, we present the Adaptive Boosting (AdaBoost) algorithm. The
# aim is to get intuitions regarding the internal machinery of AdaBoost and
# boosting in general.
#
# We will load the "penguin" dataset. We will predict penguin species from the
# culmen length and depth ... | notebooks/ensemble_adaboost.ipynb |
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# # Assignment 5
# #### Student ID: *Double click her... | static_files/assignments/Assignment5.ipynb |
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# + colab={} colab_type="code" id="77pK2GLwsjbd"
impor... | Inventory Optimization.ipynb |
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from ipyfilechooser import FileChooser
json_api_f... | vectorize_docs/VectorizeDocs.ipynb |
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import pandas as pd
import numpy as np
# import t... | ch04/.ipynb_checkpoints/03-partitioning-dataset-checkpoint.ipynb |
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# + [markdown] tags=[] toc-hr-collapsed=true
# # Machi... | _notebooks/2021-12-13-Machine learning compilation of quantum circuits -- experiments.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | algoritmos/aula-01-25_05_2021.ipynb |
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# # Natural Language Processing: Applications
# :label:`chap_nlp_app`
#
# We have seen how to represent tokens in ... | d2l/tensorflow/chapter_natural-language-processing-applications/index.ipynb |
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# ![MOSEK ApS](https://www.mosek.com/static/images/bra... | portfolio-riskparity/riskparity.ipynb |
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# # Illustrates linear complementarity problem
#
# **<... | _build/jupyter_execute/notebooks/slv/10 Illustrates linear complementarity problem.ipynb |
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# # Contributing to any of the **paso** Projects
# Th... | docs/nbdoc/Contributing.ipynb |
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# # Quick Start Guide
# Before we start our tutorial, it is impo... | src/tutorials/Quick_Start_Guide.ipynb |
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import gym
import random
import numpy as np
import ten... | agents/test/Discretized_Prioritized_Exp_Replay_hillClimb_DDQN.ipynb |
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# Cross Time Sampling
# ===
#
# Samplin... | notebook/CrossTimeSampling.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Nominal_one_column.ipynb |
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# Copyright (c) Microsoft Corporat... | lab02.1_PdM_Model_Development/train_basic_PdM_model.ipynb |
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# + code_folding=[0]
# Import packages needed & load i... | Image_Processing_X-Plot_Loc_Transform.ipynb |
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# + id="X0dDyOnbzIxr"
# #%config Completer.use_jedi = ... | 03_final_clustering.ipynb |
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# # What you will learn
# - Filters
# - Filters in re... | Python_Jupyter_Training/Week_3/.ipynb_checkpoints/3_Filters-checkpoint.ipynb |
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# hide
# all_tutorial
! [ -e /content ] && pip install... | nbs/tutorials/tutorials.proteins.capsid.ipynb |
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# # Description
# The Gaussian density function of $m... | _posts/Gaussian_Naive_Bayesian.ipynb |
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# ## About Time Series Forecasting
# In this chapter ... | notebooks/forecasting-intro.ipynb |
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# + [markdown] id="XHbXDIxe4zJ9"
# # Importing librari... | COVID Symptoms/COVIDsymptoms.ipynb |
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import numpy as np
print(np.__version__)
x = [2, 3,... | NumpyAssigment1.ipynb |
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# ## Learn golang
#
# https://golang.org/doc/tutorial/... | golang.ipynb |
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# # Training Deep Neural Networks
#
# In the last labn... | 02.TensorFlow/TF1.x/TensorFlow_06_Training_Deep_Nets.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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data_test = np.genfromtxt("Files/0... | .ipynb_checkpoints/combined_cycle_power_plant-checkpoint.ipynb |
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# # Brief... | notebooks/lectures_ready/pandas_intro.ipynb |
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import unittest
import import_ipynb
import pandas ... | Chapter04/Exercise04_04/TestExercise04_04.ipynb |
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# # Experiment Initialization
# Here, I define the te... | notebooks/development/10_08_18_cloudknot_Evan_coverage.ipynb |
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# %load_ext autoreload
# %autoreload 1
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from colle... | python/nbs/TestClassifications.ipynb |
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# # Deep Learning Final Assignment – <NAME>
#
# To pr... | Assignment final.ipynb |
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# # Question 113 - Students in a class
# Statistics Pr... | interviewq_exercises/q113_stats_set_theory_probabilities_students_enroll.ipynb |
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# + [markdown] id="GltiE234FEdP"
# ## 관련 함수, 패키지 호출
# + id="l2t5h3NRnb3C"
# ... | Final_project_bunjang_image_tag.ipynb |
# -*- coding: utf-8 -*-
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# ___
#
# <a href='http://www.pieriandata.com'><img sr... | Data Science Resources/Jose portila - ML/10-Cross-Val-and-LinReg-Project/01-Grid-Search.ipynb |
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# # Tree
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class treeNode:
def __in... | 12_Tree and Binary Tree.ipynb |