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# ----------------------------------------... | exploration/scripts/tybalt_2layer_model.ipynb |
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#Imports
import numpy as np
import os
import matplotli... | Figure_1/Figure_1.ipynb |
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# # Attempting to load higher order ASPECT elements
#
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# # Kaggle Segmentation Challange
# ## Imports
# +
i... | Kaggle Segmentation Challange.ipynb |
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# ## Observations and Insights
# * There are 249 mic... | pymaceuticals_starter.ipynb |
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# # Populating an... | notebooks/database_anomoly_table.ipynb |
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import numpy as np
import pandas as p... | Chapter04/Creating DataFrame objects.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | colab/.ipynb_checkpoints/02_Data_Collection-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Operations_and_Expressions.ipynb |
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#hide
from fastrelease import *
# # fastrelease
#
# >... | index.ipynb |
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# # Project: Data Wrangling on @dog_rates Twitter acco... | wrangle_act.ipynb |
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# %matplotlib inline
import pandas as ... | Subjective_Analysis/Ezzence_Analysis.ipynb |
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# + [markdown] tags=[]
# <font size="+5">#... | I Resolving Python with Data Science/01_Basic Elements of Programming/solutions/01session_data-tables.ipynb |
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# # Regression and more on Bayesian Inference
# ### Co... | AU02-Regression-and-Bayes-demo.ipynb |
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# # Extracting Vega Lite Transformations
#
# In this n... | notebooks/Interactive VDOM.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Week3-Introduction-to-Open-Data-Importing-Data-and-Basic-Data-Wrangling/Homework/Week3_Homework_Solution.ipynb |
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# ## Small model to predict compute time from paramete... | prediction_model/notebooks/model_compTime_V100.ipynb |
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import tensorflow as tf
import os
from utils import *
... | text-to-speech/8.deep-cnn-self-attention.ipynb |
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# # Acknowledgement
#
# Code in this notebook is based... | notebooks/2_fe_on_large_data_tsfresh.ipynb |
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# .. _models:
#
# .. title:: Models
#
# #### Model... | docs/source/examples/R33/.ipynb_checkpoints/run_models-checkpoint.ipynb |
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# name: python36964bitbertvirtualenv054cbb15ab924922a35a349b12e8... | interpretation/feature_selection_analysis.ipynb |
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# + [markdown] id="dYUH0qf8Dqkm" colab_type="text"
# # Practical 1: Deep Feed... | MLPs.ipynb |
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# **<NAME>**
# *July 20, 2021*
#
# # GFS ... | docs/_build/html/user_guide/notebooks/data_gfs.ipynb |
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# + id="WTgW8H42Xs5p" colab_type="code" outputId="b085d8bf-250f-4d75-eab0-ca7... | flair_embeddings.ipynb |
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# # Day 1 Hands-On
# #### <font color=blue>Question 1... | iPython Notebooks/Hands-On Python with Solutions.ipynb |
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# # Python Data Science Guide
#
# This notebook provid... | gwas-lecture-master/Lecture-1-Python-Data-Science-Guide.ipynb |
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# # <span style="color:blue; font-size:16;">SGF Super ... | SAS_contrib/SGF_SuperDemo2_SASPy.ipynb |
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# <p></p>
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... | generic_os_services/_platform/platform_offidoc.ipynb |
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#Run this code if running on a local computer
import s... | notebooks/.ipynb_checkpoints/ai-checkpoint.ipynb |
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fs = ... | snake game.ipynb |
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nltk.download()
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# # Algebra Lineal con Python
# *Esta notebook fue cr... | Precurso/03_Matematicas_estadistica_Git/Introduccion-matematicas.ipynb |
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# <h1>Table of Con... | note_jupyter/_build/jupyter_execute/baks/chapter14.01-Basics-of-Linear-Algebra.ipynb |
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import os
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temple_ids = {}
with open('... | folder name converter/Untitled - Copy.ipynb |
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# packages for dealing with Sidra API
import reque... | notebooks/1.0-ma-building-the-dataset.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | heart_disease_Logistic_regression_model.ipynb |
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# # AirNow and CAM-chem
#
# First we need ... | docs/examples/camchem.ipynb |
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# # Demonstrating PCA
#
# ## Importing necessary libra... | PCA_Demo/PCA_Demo.ipynb |
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# Import Dependencies and Setup
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# <div style="text-align: center;" ><a hre... | notebooks/multidimensional-analysis/main.ipynb |
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# Set up infrastructure and basic problem paramete... | ipython_notebooks/PolyBounds.ipynb |
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# # #04 - Exploring Grid
#
# <!-- - Falar sobre a prob... | examples/#04 - Exploring Grid.ipynb |
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# ### <img align="left" src="imgs/logo.jpg" ... | tutorials/workshop/Workshop_5_Advanced_Preprocessing.ipynb |
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import sys
sys.path.append('../..')
import pyotc
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# + id="tVYj2m4sAUih"
from imutils.object_detection import non_max_suppressio... | HOG_SVM_train.ipynb |
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# # Verification of L-CSS Semantics
#
# Co... | jp-notebooks/lcss-semantics2.ipynb |
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import matplotlib.pyplot as plt... | Ch08.SimpleKalmanFilter/simple_kalman_filter.ipynb |
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# # Biological Duplicate PTM Correlations
#
# ## Non-r... | notebooks/Biological_Duplicate_PTM_Correlations.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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from hmm import *
import numpy as np
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I = np.arra... | hmm/naive_discrete_hmm_test.ipynb |
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# Be sure ... | public-notebooks/xT_extended_xP.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | fashionclassifier.ipynb |
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# # Handling Categorical Data with Bokeh
# +
from bok... | cvr/visualize/Categorical Data.ipynb |
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#... | tutorials/demo/student/Neuromatch_Tutorial_Format.ipynb |
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# # Python + OS Package: List and remove files
# ## A ... | Python-Automate_deletion_duplicate_files-v.2.1.ipynb |
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# # NLPeasy Workshop - Introduction
# # SDS 2020, 25th... | intro-nlpeasy.ipynb |
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import pandas as pd
airports = pd.read_json("airports... | CondenseJSON.ipynb |
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# # Marcel Projection
#
# This is for development of a... | forecast/MarcelForecast.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Shala_2020_DS.ipynb |
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# + id="hQZCi0kol42D"
from google.colab import drive
drive.mount('/content/dr... | KNN model/KNeighbors.ipynb |
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# # GIAO 的 RHF 核磁 (屏蔽) 共振常数 (NMR) 数值导数
# > 创建时间：2020-... | source/QC_Notes/Prop_Series/NMR_GIAO_NumDeriv.ipynb |
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# # PySCHISM example_1.py
# ### Example file for basic... | examples/example_1/example_1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | twitter_data_mining.ipynb |
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with open('centerpoints.txt','r') as f:
lns = f.re... | T1/10_volumetric_modelling/read_pointlist.ipynb |
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# + id="hlhi6n6up4xH" colab_type="code" colab={}
#importing important librari... | ML_Training_udacity/7. TIME SERIES FORECASTING/Moving_average_forecasting.ipynb |
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# # Day 4
# + active=""
# --- Day 4: Passport Process... | 2020/loris/notebooks/day_4.ipynb |
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import numpy as np
cc = np.eye(2)
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aa = np.array(... | Python/numpy/1_pracitice-numpy.ipynb |
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A = 10
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#Arithmetics
# -
C = A + B
D = B ... | Working with Variables.ipynb |
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/ + [markdown] cell_id="00001-66928b98-bfac-46f2-a42e-1a2b1d6c3b75" deepnote_cell_type="markdown" tags=[]
/ Hi, I want ... | Main.ipynb |
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# # 4 - Exploring Weibull
#
#
# PV ICE handles failure... | docs/tutorials/4 - Exploring Weibull.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # Introduction to Clu... | py/topic-modelling-clustering/1. Clustering - Kmeans Example_R.ipynb |
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# # Conditional Average Treatment Effects (CATE) with ... | Utils/dowhy/docs/source/example_notebooks/dowhy-conditional-treatment-effects.ipynb |
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# # Assingment 1
#
import pandas as pd;
import matplo... | data science/DIT852 - intro/assignment_1/assignment_1.ipynb |
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# name: python385jvsc74a57bd06c4a8ba85e302de6136f18721588... | figures/knn_plots.ipynb |
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# # Congestion Charging - Easy
#
# ![rel](https://sqlzoo.net/w/images/f/... | R/18-1 Congestion - Easy.ipynb |
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from essentia.streaming import *
import essentia.... | .ipynb_checkpoints/CAUTION TORCHAUDIO MelonPlaylist MelScale torchaudio-checkpoint.ipynb |
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# + active=""
# Text provided under a Creative Commons... | lessons/13_Step_10.ipynb |
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# <img src="resources/titanic_sinking.gif" alt="Titani... | titanic_shipwreck.ipynb |
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# # scsRPA 的频域与绝热耦合系数积分实现
# > 创建日期：2020-08-24
# 这篇文档... | source/QC_Notes/Post_Series/scsRPA_Comprehense.ipynb |
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# # Options for Writing Code
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# In this chapte... | code-where.ipynb |
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import xarray as xr
import numpy as np
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from __future__ import division, print_function, a... | notebooks/Synthetic/FixedWidthMNIST/GenSyntheticMNSITFixedWidthModule.ipynb |
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# # Use custom software_spec to create statsmodels fun... | cpd3.5/notebooks/python_sdk/deployments/custom_software_spec/Use custom software spec to create statsmodels function.ipynb |
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# Analyse age gap between actors and actresses who pla... | notebooks/age_gap/age gap and relationships.ipynb |
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# # WeatherPy
# ... | WeatherPy/WeatherPy.ipynb |
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# <script async src="https://www.googletagmanager.com/... | Tutorial-BSSN_quantities.ipynb |
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# # Assignment 2
#
# __Due date__: April 25, 2018 at 1... | Assignment-2.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + [markdown] id="go9NPSnAyhuZ"
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from pathlib import Path
import matplotlib.pyplot... | examples/ami/ami.ipynb |