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import numpy as np
import scipy as sp
import scipy... | analysis_for_LHCO/BLACKBOX1.ipynb |
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## Import Packages and Libraries ##
# make it run ... | past-team-code/Spring2018Team/Notebooks/Scrape, Clean, and Preprocess/url_to_contents(2o3).ipynb |
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import analysis3 as a3
## For Aut1367:
points_path = ... | Tony/ipynb/april24/Creating+Scaled+Centroids+Plot.ipynb |
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# %pylab inline
import json
import pandas as pd
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s... | charts.ipynb |
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# # #1 Discovering Butterfree - Feature Set Basics
#
#... | examples/simple_feature_set/simple_feature_set.ipynb |
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# # Ejercicio 1: Creación de diccionarios ... | kata8.ipynb |
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# !kubectl create -f training-jobs/pytorch-job/mnist/p... | kubeflow/notebooks/10a_Distributed_PyTorch_Job.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Colab RDP/Colab RDPxee2.ipynb |
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import tensorflow as tf
import numpy as np
import matp... | notebooks/wave_predictors/LSTM-fin_data-test.ipynb |
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# # Section III. MOTION PLANNING
# # Chapter 10. Moti... | MotionPlanningHigherDimensions.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | notebooks/s10_ml/KNN.ipynb |
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# ## List of figures:
# ### 2. [Figure S1: Time spent ... | notebook/experiment_1/3_intervention_timer.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as p... | notebooks/GetSemanticScatter.ipynb |
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# + id="9YsQvqoByt3g" colab_type="code" outputId="c80b7ba9-be3f-4644-85da-e64... | kaggle8k_VGG16pretrain.ipynb |
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# # Foot Ulcer Area Estimator
#
# ## Overview
#
# This... | ulcer_estimator.ipynb |
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# ##### Copyright 2018 The TensorFlow Constrained Opti... | examples/jupyter/Minibatch_training.ipynb |
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import pickle
modelo = open('modelo_preco','rb')
... | regressao/data-science/reg-linear/Exercicio/Importando o modelo.ipynb |
# -*- coding: utf-8 -*-
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# # Fastqc Analysis: Slidingwindow4_2
#
# ## Aut... | trim_testing/Fastqc_analysis_Slidingwindow4_2.ipynb |
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# + id="I3SYcXXvYZSG" colab_type="code" colab={}
import pandas as pd
import m... | 2_data_viz.ipynb |
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# Import required libraries
import pan... | neuronalesNetz.ipynb |
# -*- coding: utf-8 -*-
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# # Python: Scope of variables
# ## Built... | courses/13. Scope of variables in Python.ipynb |
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# + [markdown] id="99_4eyfyxskq"
# # Intro... | Laboratorio/Clase 2/Python.ipynb |
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# # Instegração PYTHON SQL
#
# ### Objetivo
#
# A int... | SQL - POWER BI/COMANDOS PYTHON COM SQL.ipynb |
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#... | notebooks/tf2/tf-keras-metrics.ipynb |
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# http://simplecv.org/
#
# Too many bugs and py 2... | simpleCV/simpleCV 10-8-2017.ipynb |
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import pandas as pd
indicators_path = 'data/tracts_... | 09-regional-analysis.ipynb |
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# ------------------------------------------------... | submissions/20211018-ucdcs-mtl.fta.nla/TRECIS-EvaluationNotebook.v3.0.ipynb |
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def status_check(r):
if r.status_code==200:
... | Chapter07/.ipynb_checkpoints/Exercise 7.02-checkpoint.ipynb |
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import os
import json
import pickle
import random
... | model_notebooks/RD/model.ipynb |
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# # Depth-First Search
# ## Packages
include("../... | ps3-ballistic-deposition-percolation/p4-7-percolation/p4-dfs/dfs.ipynb |
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# ### Movie with u, v, w, $\rho$, tr,... | MoviesNotebooks/MoviesFlowDescription_cross_shelf_section.ipynb |
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# # Feature Engineering
#
# The initial concept and so... | process/process_demo.ipynb |
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# ### DATA MUNGING ADDENDUM: THE LONG WAY TO HANDLE CO... | DataMungingPythonExcel/DataFrameByRow.ipynb |
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# Dependencies
import pandas as pd
# Store filepaths ... | 2018-06-10-Dow-Bacteria.ipynb |
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import fsspec
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import imageio
import... | test_find_recent_images.ipynb |
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# + [markdown] run_control={"frozen": false, "read_onl... | develop/20170507-compare_influence_inside_outside.ipynb |
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import numpy as np
myList = [1,2,3]
print(myList)
typ... | Numpy.ipynb |
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from bs4 import BeautifulSoup
import requests
site=re... | exemplo4.ipynb |
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# + [markdown] id="2Vn26lahhFJd"
# # EECS 498-007/598-... | A6/variational_autoencoders.ipynb |
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import warnings
warnings.filterwarnings("ignore")
# #... | notebooks/00-quickstart.ipynb |
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# # The Stochastic Neoclassical Growth Model as a Pyth... | code_examples/sncgm_as_py_object.ipynb |
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# # EDA (Exploratory Data Analysis):
# This is a bas... | notebooks/analysis/EDA/notebook-EDA3-splitted_data.ipynb |
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# + editable=false run_control={"frozen": true} dc={"k... | notebook.ipynb |
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# ## Drugmonizome ETL: Drug Repurposing Hub
#
# ##### ... | appyters/DrugRepurposingHub_Drugmonizome_ETL/DrugRepurposingHub.ipynb |
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# # Normalisation of the kernel matrix
# Setting up t... | Normalisation/normalise_kernel.ipynb |
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# %load_ext autoreload
# %autoreload 2
from pydarknet ... | Development/InitialDevelopment/module_libdarknet-Metadata.ipynb |
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# + [markdown] heading_collapsed=true
# #### Setup
... | training/training_CAL.ipynb |
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# # <font color=darkblue>Week 4 Assignment </font>
# ... | 2-Homework/Spring2021/ES-4/.ipynb_checkpoints/Week 4 Assignment_Dev-checkpoint.ipynb |
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# + [markdown] papermill={"duration": 0.029278, "end_t... | futures_long_only.ipynb |
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# # finally, analysis
#
# dig through your data in jso... | analyse_bank_statements/analyse_yearly_json_report.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | iris_classification.ipynb |
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# # Algorithmn Re-Assesment
# **Introduction:**
# Usi... | pumpit/PumpIt-04.ipynb |
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// # `Nuqleon.Linq.Expressions.Bonsai`
/... | Nuqleon/Core/LINQ/Nuqleon.Linq.Expressions.Bonsai/GettingStarted.ipynb |
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# + [markdown] colab_type="text" id="iPpI7RaYoZuE"
# ##### Copyright 2018 The... | site/tr/tutorials/eager/eager_basics.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="vhuR_wECjAKv" outputId=... | Experiments/zostera/project_zostera.ipynb |
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# + colab={} colab_type="code" id="mL7zvImn9Fbf"
impor... | pima_indian_diabetes.ipynb |
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# # Module version used
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# # Sorting
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# + [markdown] colab_type="text" id="EheA5_j_cEwc"
# ##### Copyright 2019 Goo... | tf_quant_finance/examples/jupyter_notebooks/Introduction_to_TensorFlow.ipynb |
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# Copyright 2010 <NAME> <EMAIL>
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from io import StringI... | pytorch_scikit/04_ch/ch_04_textbook.ipynb |
#
# <p><img src="https://oceanprotocol.com/static/media/banner-ocean-03@2x.b7272597.png" alt="drawing" width="800" align="center"/>
#
# <h1><center>Ocean Protocol - Manta Ray project</center></h1>
# <h3><center>Decentralized Data Science and Engineering, powered by Ocean Protocol</center></h3>
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# # Embedding Visualization
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# In Tensorflow, data is... | 4_Tensorboard/3_embedding_visualize.ipynb |
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# # Likelihood-based models
#
# This seminar will be a... | module1-likelihood/likelihood.ipynb |
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# # Applying a filter to a time-series
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# ## Sheet #8: K-means Clustering - <NAME> & <NAME>
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# # CSCI 5015 PROJECT
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# + [markdown] id="2RdwMwUrHaZj"
# # Setup - Only for colab
# (do not execute... | playground/oliver_ilnicki/commands_patterns_dataset/notebooks/CommandsPatternsDataset_sample_usage.ipynb |
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# # percent-allocate
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# Table 3
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# # Домашняя работа 3. Задача классификации
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# ~~*Дед... | homeworks/hw03_classification.ipynb |
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# ## ESMA 3016
# ### <NAME>
# ### Calculo de Probabili... | notebooks/lab9py.ipynb |
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# # 1. Fill the missing pieces of the `cou... | notebooks/beginner/exercises/functions_exercise.ipynb |
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# # 1. Probability
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# ## 1.1. The Joint Proabbility D... | notebooks/CheetSheet.ipynb |
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# # Day 20: Firewall Rules
#
# author: <NAME>
#
# lice... | 2016/python3/Day20.ipynb |
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# # <span style="color:orange">4:</span> Conclusion: H... | notebooks/Part4_Story.ipynb |
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# coding: utf-8
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# # Regressão de Lasso
# Aplicação da regressão de La... | Data_Science/Regressao/Lasso_Ridge/Regressao_Lasso.ipynb |
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# ## Introduction
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# The first step in any analysis is to review the da... | Lecture7-DataPreprocessing1.ipynb |