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# !python -mpip install --quiet fitparse==1.2.0
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f... | fitparse-visualisation.ipynb |
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import numpy as np
import pandas as pd
# %matplotl... | src/evaluation/evaluate.ipynb |
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# ### Project 3 - Single Inheritance - Solution
# You... | dd_1/Part 4/Section 07 - Project 3/Project 3 - Description.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Resnet18LastLayerPretrainTuned.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 00_Miscellaneous/text-similarity-analysis/bqml/classification_with_embeddings.ipynb |
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# ## Load data
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import pickle
training_file = 'tr... | data_exploration.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | module2-wrangle-ml-datasets/232_assignment_monthly_10yrTreasuryModel.ipynb |
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# # Section 3: Homework Exercises
#
# This mate... | solutions/Section3-Homework.ipynb |
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# This notebook applies SPARQL query to retrieve and d... | src/archive/01b_Wikidata-Edges.ipynb |
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# # Percentiles
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# %matplotlib inline
import numpy... | other ideas/percentiles.ipynb |
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# # Logistic Regression Baseline, Numeric Features Onl... | notebooks/2_han_model_logreg_numeric_only.ipynb |
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# # Visualizing datasets larger t... | examples/osm.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="kP0yBzqJINf0" outputId=... | VAE_TF.ipynb |
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# <div style="width:1000 px">
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# <div style="float:ri... | metpy/Introduction to MetPy.ipynb |
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# ## Group assignment
# The group assignment is to wr... | notebooks/wpa_7.ipynb |
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# # Simple linear regression
# ## Import the relevant... | Part_5_Advanced_Statistical_Methods_(Machine_Learning)/Linear Regression/Sklearn/sklearn - Simple Linear Regression - GPA Problem.ipynb |
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# # Calculate Changes in Water Levels #
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#
# ## O... | jupyter-notebooks/water_change/water-level-changes-notebook/calculate_changes.ipynb |
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# # Landsat-8
#
#
#... | notebooks/amazon-web-services/landsat8.ipynb |
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# + [markdown] id="ADKY4re5Kx-5"
# ##### Copyright 2019 The TensorFlow Probab... | site/en-snapshot/probability/examples/STS_approximate_inference_for_models_with_non_Gaussian_observations.ipynb |
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# + [markdown] id="Okfr_uhwhS1X" colab_type="text"
# # Lambda School Data Sci... | module1-afirstlookatdata/Bhav_sample_GANS.ipynb |
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# Sample CNN for MNIST handwriting recognition
imp... | notebooks/00-sample.ipynb |
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# # Introduction
#
# #Introduce the concept of sortin... | Algorithms_problems/Sorting Project/Benchmarking Sorting Algorithms.ipynb |
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# + application/vnd.databricks.v1+cell={"inputWidgets"... | Data Extraction/6. Azure SQL to db.ipynb |
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# Basically mapping ( it stores key value objects )
#
... | trial scripts/dictionaries.ipynb |
# ##### Copyright 2020 Google LLC.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | examples/notebook/linear_solver/integer_programming_example.ipynb |
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import matplotlib.pyplot as plt... | tests/testing_DS_with_reduced_catalogs.ipynb |
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# # Generating Normally Distributed Random Numbers in ... | _notebooks/2021-12-22-PowerQuery-Normal-distribution.ipynb |
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# # Preparing the dataset for hippocampus segmentation... | section1/out/Final Project EDA-completed.ipynb |
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#code to model the motion of a damped harmonic osc... | damped_oscillation_fitting/damped_oscillation_fitting.ipynb |
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import numpy as np
import seaborn as sns
dados = np.a... | 7_probabilidades/probabilidade_distribuicao_normal.ipynb |
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import os
import pandas as pd
import numpy as np
from ... | time series regression/autocorelation, mov avg etc/First_Order_Differencing.ipynb |
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# # Discretization
#
# ---
#
# In this notebook, you w... | discretization/Discretization.ipynb |
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# %matplotlib inline
#
# # Gaussian Mixture Model Sin... | sklearn/sklearn learning/demonstration/auto_examples_jupyter/mixture/plot_gmm_sin.ipynb |
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# **12장 – 텐서플로를 사용한 사용... | 12_custom_models_and_training_with_tensorflow.ipynb |
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import numpy as np
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import matplotl... | Happiness.ipynb |
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import k3d
import numpy as np
N = 100
theta = np... | examples/mesh_custom.ipynb |
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# # GPU-Jupyter
#
# This Jupyterlab Instance is connec... | test/gpu.ipynb |
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# # 머신 러닝 교과서 3판
# # 4장 - 좋은 훈련 데이터셋 만들기 – 데이터 전처리
#... | ch04/SequentialFeatureSelector.ipynb |
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# # Session 5: Generative Networks
# ## Assign... | session-5/session-5-part-2.ipynb |
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# + id="copyright"
# Copyright 2020 Google LLC
#
# Licensed under the Apache ... | ai-platform-unified/notebooks/unofficial/gapic/custom/showcase_custom_tabular_regression_online.ipynb |
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# # Splitting the katakana from romaji in ... | pokemon/pokemon_jpn.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | power.ipynb |
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from my_functions1 import extractor, extractorAurora
... | object_extraction_evaluation.ipynb |
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# # Examples
#
# This document is int... | openmdao/docs/openmdao_book/examples/examples.ipynb |
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# # 1. Convolution and Blurring
# +
import cv2 # i... | gurdeepsingh_openCV_blurring_and_sharpening.ipynb |
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# # Repositorio GCM-TFG
# ## Problemas de optimización... | Tutorial.ipynb |
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# ## All event Data meta
# +
library(ggplot2)
library(plyr)
library(sca... | mimolette/visualisation/All eventdata meta.ipynb |
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import matplotlib.pyplot as plt
import os
import g... | eda.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 02Diciembre.ipynb |
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# + [markdown] colab_type="text" id="MhoQ0WE77laV"
# #... | site/ja/beta/tutorials/keras/basic_classification.ipynb |
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# # Emojify!
#
# Welcome to the second assignment of ... | Emojify - v2.ipynb |
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# <a href="https://colab... | numpy.ipynb |
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# Exploration of RISE with mnist binary
#
# Function :... | example_data/xai_method_study/RISE/rise_mnist.ipynb |
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# # Clean Corpora - One Off
# ## Imports and Settings
f... | .ipynb_checkpoints/Clean_Corpora_OneOff-checkpoint.ipynb |
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# + [markdown] id="W_USwZH65G6x"
# # Sample script to create data for the NLI... | corrupt_mnli_datasets.ipynb |
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# # GDC June 2021 Webinar: GDC Data Submission Overvie... | Notebooks/Submission_June_2021/Webinar_June_2021.ipynb |
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# # I... | Lecture 5- FillIn.ipynb |
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# ***... | data/06.data_cleaning_Tweets.ipynb |
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# # Projeto de portfólio - Health Insuranc... | v1.0-Health_insurance_cross_sell.ipynb |
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import sys
# sys.path.insert(0,'../prada_bayes_opt... | ICDM2016_B3O/run_batch/runningForPPO.ipynb |
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import torch
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# # 1. REPL (Read Evaluation Print Loop)
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# /* Ent... | python_basics/Section1.ipynb |
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# # Day and Night Image Classifier
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# The day/n... | 1_1_Image_Representation/6_4. Classification.ipynb |
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# ###### Текст распространяется на условиях лицензии C... | lessons/11_Lesson11_Exercise.ipynb |
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#SKIP_COMPARE_OUTPUT
import pixiedust
... | tests/TestDisplay-BarPieTable.ipynb |
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# # VacationPy
# ----
#
# #### Note
# * Instructions h... | .ipynb_checkpoints/VacationPy.ipynb |
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from dask_kubernetes import KubeCluster
from dask.dist... | notebooks/karyotype_infer-using-pca.ipynb |
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# # Text models, data, and training
# + hide_input=tr... | docs_src/text.ipynb |
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import pandas as pd
import seaborn as sns
import numpy... | notebooks/forward_scenario/2.0-ajmk-comparison-of-projections 3.ipynb |
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# ### Named Tuples - Application - Returning Multiple ... | python-tuts/0-beginner/7-Tuples Data Records/06 - Named Tuples - Application - Returning Multiple Values.ipynb |
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# # Deep Recurrent Q-Network
# ## Setup
# +
# Python... | DRQN/DRQN.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Copy_of_S+P_Week_2_Exercise_Answer.ipynb |
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// # DJL BERT Inference Demo
//
// ## Introducti... | jupyter/BERTQA.ipynb |
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fr... | models/svm/SVM.ipynb |
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# # Introducción a Jupyter
# ## Expresiones aritmetic... | Practicas/P1/.ipynb_checkpoints/Practica 1 - Introduccion a Jupyter-checkpoint.ipynb |
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# I use this notebook to automatically label image ove... | notebooks/auto_truth_from_cliques.ipynb |
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# %load_ext autoreload
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#导入package
import pandas as pd
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#读取... | data_process/process poj data.ipynb |
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import numpy as np
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# # Word2Vec model widgets
#
# This notebook introduce... | examples/Word2vec widget.ipynb |
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# ## Deliverable 2. Create a Customer Travel Dest... | Vacation_Search/Vacation_Search.ipynb |
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# #### Parallel Cluster Initialization with MPI4py: Th... | HPC UPF.ipynb |
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# # Line Fitting
# %matplotlib inline
import numpy as... | line_fitting.ipynb |
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# Beautiful is better than ugly.
#Explicit is bett... | udemycoursework/Python 3 Deep Dive (Part 1 Function Notes).ipynb |
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# # Presidential Races Analysis
# ## 2020 Trump/Biden ... | Write-up - Code/Presidential Races/PresidentialAnalysis.ipynb |
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# # Iris Data Visuali... | Iris Visuals.ipynb |
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# # Poission GLM (Attempt 1)
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# Below are the differe... | .ipynb_checkpoints/COPoissionGLM-checkpoint.ipynb |
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# # params
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# # Ex08 Aplicações da DFT
#
# ## Parte 1 - Filtragem ... | 2S2018/Ex08 Aplicacoes da DFT.ipynb |
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# # _*Pricing Asian Barrier Spreads*_
# ### Introduc... | tutorials/finance/07_asian_barrier_spread_pricing.ipynb |
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# # F... | content/work/feature_selection/presentation.ipynb |
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# # Mini-Project 2: Source extraction
#
# **Context**
... | spark/notebooks/mini-projects-images.ipynb |
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# # Working with contexts using NLTK
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# NLTK is a po... | NLTK_dealing_with_context_part1.ipynb |
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# ## Dependencies
# + _cell_guid="b1076dfc-b9ad-4769-... | Model backlog/EfficientNet/EfficientNetB3/172 - EfficientNetB3 - Reg - Batch 32, Img 224.ipynb |
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# + [markdown] nbgrader={}
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