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from bayes_opt import BayesianOptimization
from ba... | visualization.ipynb |
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# <a href="https://colab.research.google.com/github/Ve... | client/workflows/demos/distilbert-sentiment-classification.ipynb |
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import pandas as pd
from pandas.tseries.offsets import... | SARIMAX_CDD.ipynb |
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# $\newcommand{\xbf}{{\bf x}}
# \newcommand{\ybf}{{\bf... | td_semaine_2/Intro a pyTorch - Partie 2.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # T... | notebooks/Repairing_Code.ipynb |
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# # Fast Lomb-Scargle Periodograms in Python
#
# The L... | examples/FastLombScargle.ipynb |
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# Parse table from Wikipedia webpage
# + pycharm={"na... | week4.ipynb |
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# # FLASK
# -----------------------
# Usaremos Python... | Modulo5/4.Flask.ipynb |
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from sympy import*
init_printing()
k,m,w0,w = symbols... | teaching/PHY1110/DS/Code/.ipynb_checkpoints/DS10 - Four Masses and Five Springs-checkpoint.ipynb |
# -*- coding: utf-8 -*-
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# # Associati... | 07.journal-prestige.ipynb |
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import numpy as np
import h5py
from pathlib import Path
from ... | examples/newCXI.ipynb |
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# HIDDEN
from datascience import *
from pro... | content/Chapter_13/04_Finite_Population_Correction.ipynb |
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# # MPG Cars
# ### Introduction:
#
# The following ex... | 05_Merge/Auto_MPG/Exercises.ipynb |
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# **File name**: dispersion_values.ipynb<br>
# **Autho... | utils/dispersion_values_keras.ipynb |
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import argparse
from os.path import expanduser
def... | dev-notebooks/parser.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | _notebooks/2020-12-16-SGD-1.ipynb |
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# %matplotlib inline
import numpy as np
from sklearn... | nb_dev_python/python_keras_hello_en.ipynb |
# -*- coding: utf-8 -*-
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# # Tools for Game Theory ... | game_theory_jl.ipynb |
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# ## Programming Exercise 6 - Support Vector Machines
... | notebooks/Programming Exercise 6 - Support Vector Machines.ipynb |
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# + [markdown] deletable=true editable=true
# # Union ... | care/7_make-xls.ipynb |
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#import the bq_helper library to help in making AP... | preprocessing/preprocess_tags.ipynb |
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import cv2
import numpy as np
from matplotlib import p... | Code/GMM Estimation Notebook/yellowEstimate.ipynb |
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import pandas as pd
import numpy as np
import seab... | ADS-Summer2020_Cohort 18/student/education.ipynb |
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# # CNN_10channel
#
# Abstract:
# - single channel: ba... | statoil-iceberg-classifier-challenge/CNN_10channel.ipynb |
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# # B.Tech 2016-20 Electrical Enginnering (Spring 2018... | notebooks/year/2016/16EE.ipynb |
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import numpy as np
import os
import sys
import copy
impor... | show_qualitative_results.ipynb |
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# # Machine Learning Basics
# ###### <NAME... | 01 - Machine Learning Basics.ipynb |
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# # Course Name: Visualisation for Data Analytics
... | 06-data-pre-processing-questions.ipynb |
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# <img src="../images/aeropython_logo.png" alt="AeroPy... | notebooks_vacios/041-SymPy-Mecanica.ipynb |
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import tensorflow as tf
def train_decode_line(row):
... | Chapter03/datasets/create_dataset_from_text.ipynb |
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# ## Gaussian Network Moments (GNMs)
#
# Let $... | static/tightness.ipynb |
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# # Experiments
#
# Here, we compare standard baselines to imitation learning and RL-based methods. Please read the readme first.
# +
#First,... | notebooks/Experiments.ipynb |
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from coll... | Civilworks cost/Work Schedule/simple_gannt_schedule.ipynb |
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import os
import tensorflow as tf
import numpy as ... | ddpg_discrete_notebook.ipynb |
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#------------------------------------------------------... | data_proccessing/10_Visualize_Image.ipynb |
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# # Deploying Machine Learning Models Minikube with RB... | notebooks/kubectl_demo_minikube_rbac.ipynb |
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# ## _*The EOH (Evolution of Hamiltonian) Algorithm*_
... | aqua/eoh.ipynb |
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curl -XDELETE localhost:9200/klausurvorbereitung?pretty
cur... | Klausurvorbereitung.ipynb |
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# # Analysis the results of hybrid PBC
#
#... | PBComp/ToyExample2/output-hybrid/Result_analysis.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 04_Pandas.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# <a id='Top'></a>
#
# # Unimodal inputs<a class='tocS... | figures_and_tables/table-baseline_evaluation.ipynb |
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# # CAN Self-Driving Car Experiments
# ## 0. Initaliz... | record/.ipynb_checkpoints/visualization-checkpoint.ipynb |
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# + active=""
# Script for counting the number of time... | Notebooks_DEPRECATED/IndividualAnimalPhotoCount.ipynb |
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# # Goal
#
# * re-plotting SI... | ipynb/bac_genome/n1147_pt2/validation_plot.ipynb |
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# ## Import Libraries
# + _cell_guid="b1076dfc-b9ad-4... | 11). Market Mix Modeling using Python/market-mix-modeling-using-python.ipynb |
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# # Hyotesis 11 and 12
#
# ### H11: The delay time cha... | hypothesis_11_12.ipynb |
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# # Goal
#
# The aim of this notebook... | benchmark/04_CAMI_stats.ipynb |
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# # Introduction
#
# Andrezej generated events with clu... | notebooks/Read-Herwig-1GeV.ipynb |
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import pathlib
import json
import numpy as np
# load ... | error_analysis.ipynb |
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# + [markdown] colab_type="text" id="R7Xgt_KQ51l7"
# #... | Ch3/07_DocVectors_using_averaging_Via_spacy.ipynb |
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# + [markdown] colab_type="text" id="Ic4_occAAiAT"
# ##### Copyright 2019 The... | site/en/tutorials/keras/text_classification_with_hub.ipynb |
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# # Trading Platform Customer Attrition Risk Predict... | TradingCustomerChurnClassifier.ipynb |
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# #!conda install intake fsspec intake-xarray inta... | docs/source/examples/NWP/NWP_GEFS_6h_forecasts.ipynb |
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# # ML model to reco... | test.ipynb |
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# # TEXT CLASSIFICATION USING PYSPARK AND MLLIB
#
# ##... | NYT-article-classification/more data groups/Text Classification Using PYSPARK.ipynb |
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# + [markdown] _uuid="51c9a7de75c84275c65ca97e... | rotten_tomatoes_sentiment_model_trainer/notebooks/.ipynb_checkpoints/rotten_tomatoes_lstm_sentiment-checkpoint.ipynb |
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#... | study_roadmaps/1_getting_started_roadmap/5_update_hyperparams/1_model_params/5) Switch deep learning model from default mode.ipynb |
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# # End-to-End NLP: News Head... | pytorch_alternatives/custom_pytorch_nlp/Headline Classifier Local.ipynb |
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# # Keras框架实现mnist手写字体的识别
from keras.datasets import ... | .ipynb_checkpoints/keras-mnist-cnn-checkpoint.ipynb |
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# ## Stack Overflow - Remote Code Execution
#
# - inst... | StackOverflow-RemoteCodeExecution.ipynb |
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# + [markdown] colab_type="text" id="17XKXlnyVBQF"
# #... | notebooks/pyTorch/2_embeddings.ipynb |
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pip install mysql-connector-python
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# ## Advanced Lane Finding Projec... | project_2_advanced_lane_finder.ipynb |
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# # Common Decompositions
# The goal of this method is... | 05_Decompositions/Student/Common Decompositions.ipynb |
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from importlib import *
import shiroin
reload(shiroin)... | playground.ipynb |
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# title: "Grouping Rows In pandas"
# author: "<NAME>"
# date: 2017-12-20T11:53:49-07:00
# description: "Grouping Rows In pandas."
# type: technical_note
# draft: false
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# <center>
# <img src="https://cf-courses-data.s3.... | 04-simple_data_set_v2.ipynb |
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# ## DATA CLEANING AND EDA 1
# +
# import required pa... | MetisP2_cleaning_EDA1.ipynb |
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# <h2 id='part1'>A Look at the Data</h2>... | Introduction to Data Science/A Look at the Data - Solution.ipynb |
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# name: conda-env-PRO... | workflow/creating_slabs/slab_similarity/slab_similarity.ipynb |
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# %matplotlib inline
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import numpy ... | Approach2/CouponLevelAnalysis.ipynb |
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# # <font color='slateblue'><center>GUI QUIZ GAME APP<... | GUI Quiz Application/Project - GUI Quiz App.ipynb |
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import json
import jsonlines
import pandas as pd
pred... | check_prediction.ipynb |
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# + pycharm={"name": "#%%\n"}
from abc import ABC, abs... | 07. OOPS Part-3/01. Abstract classes.ipynb |
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# # Numpy, Estadística, Probabilidades
#
# ## Numpy Ar... | Code/3-numpy/1_numpy.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | PoissoNet/Mean and std finder.ipynb |
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# ## Our Mission ##
#
# Spam detection is one of the m... | DSND_Term1-master/lessons/Supervised/2_NaiveBayes/Bayesian_Inference_solution.ipynb |
# -*- coding: utf-8 -*-
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# # Calculation of streami... | examples/Streaming flow.ipynb |
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# ## Building a Jupyter + MySQL + Redis Data Pipeline
... | examples/example-db-extract-and-cache.ipynb |
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# + [markdown] origin_pos=0
# # Data Preprocessing
# :label:`sec_pandas`
#
# So far we have introduced a variety of techniques for manipulatin... | d2l-en/mxnet/chapter_preliminaries/pandas.ipynb |
# -*- coding: utf-8 -*-
# Throughout this lesson there are snippets of code as examples. You are encouraged to edit and experiment with these – it will greatly improve your understanding.
#
# All data in APL resides in arrays. An array is a rectangular collection of numbers, characters and arrays, arranged along zero o... | Arrays.ipynb |
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import gym
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# ## char addition
# * DIGITS = 2
#
#... | tests/char_addition.ipynb |
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# import os
# os.environ["CUDA_VISIBLE_DEVICES"] =... | train-uxml-basic-matrix-factorization.ipynb |
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# # Coding für Führungskräfte - Test Notebook
#
# ![Co... | resources/test/Test.ipynb |
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# # QComponent - 3-fingers capacitor
# #### Standard i... | docs/tut/quick-topics/QComponent-3-fingers-capacitor.ipynb |
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# + id="BHxRfxPtZ7ql" executionInfo={"status": "ok", "timestamp": 16445585124... | Real_Estate.ipynb |
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# # Face Filter
#
# By <NAME> and <NAME>.<br>
# Create... | Project.ipynb |
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# # Pearson Correlation Vs. Z-normalized E... | docs/Pearson.ipynb |
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# # Tutorial: Uninformed Search Algorithms
#
# This tu... | tutorials/1_search_algorithms/tutorial_uninformed_search.ipynb |
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pip freeze
# 查詢現有 Python 套件清單及其版本
pip install virtua... | Create Virtual Environment.ipynb |
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# <h1 align="center"> Word Count of Pride and ... | PySpark_Basics/PySpark_Part1_Word_Count_Removing_Punctuation_Pride_Prejudice.ipynb |
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# ## Import Libraries
# +
# Import libraries of inter... | BCML_FeatureCreature.ipynb |
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# + [markdown] id="ViGZ1Nf6qLZ9"
# # Classifying handw... | handwriting_classification.ipynb |