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# + [markdown] id="iXojb3z1X_fo" colab_type="text"
# **Imports**
# + id="HJ9... | examples/gratings/reflective_grating_two_wavelengths.ipynb |
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# # Seafloor Bacterial Floc Analysis
#
# This notebook... | notebooks/camhd/floc.ipynb |
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# %load_ext autoreload
# %autoreload 2
import sys... | Notebooks/SOMs.ipynb |
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import tensorflow as tf
import numpy as np
filename =... | image loader.ipynb |
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# # Advanced Tutorial
# ### Adding visualization
#
# ... | docs/tutorials/adv_tutorial.ipynb |
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import pandas as pd
import numpy as np
from skle... | model_selection.ipynb |
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# hash: 1ee38ef4a5a9feb55287fd749643f13d043cb0a7... | dmp/user-story-single-dmp-connections.ipynb |
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# # First Programming Language Tweets, etc
#
# There i... | Languages.ipynb |
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# # Face Generation
#
# In this project, I have define... | dlnd_face_generation.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:ap-nort... | 1-data-prep-e2e.ipynb |
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import pandas as pd
import numpy as np
from typing imp... | options/options_backtest_monthly.ipynb |
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# ## Using Iris data to looking at some some Machine L... | Sklearn/Machine Learning using Scikit-Learn.ipynb |
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(* name: ocaml-jupyter-4.04.2 ... | notebooks/random_dataset_generation.ipynb |
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# # <center>Graph Colouring with Quantum Annealing</ce... | DWave_GraphColoring.ipynb |
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# %pylab inline
from scipy.interpolate import interpn
... | 20201026/.ipynb_checkpoints/simulationOwning-checkpoint.ipynb |
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#### Importing all required libraries
import panda... | Selenium/Linkedin.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | Read one neuron.ipynb |
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# # Dask Subscriber
# +
import os
from dotenv import ... | tutorial/subscriber.ipynb |
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import heapq
def largestPerm... | hacker-rank/largest-permutation.ipynb |
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## import required packages for a parameter estima... | Pereira_CV_code_rough.ipynb |
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# # Collectl CPU Log Analysis
# ## Functi... | analysis/notebooks/CollectlCPULogAnalysis.ipynb |
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# Reading a file with Pandas
# ==
# ---
# Pandas is a... | python-lessons/04 - Reading a file with Pandas.ipynb |
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# # 1806554 <NAME> (DA LAB)
# # 1
x <- c(1,2,3,4,5)
print(sqrt(x))
x ... | DA Lab/eval_test.ipynb |
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# # calculate rotation and transposition matrix
# +
i... | During_experiment/STORM6/20211208-align_10x_positions_seq_DNA_RNA_rnase_treat.ipynb |
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import math ###distributionscat... | section_inference/distributions.ipynb |
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# # Westeros ... | 5_westeros_bis_emissions_cap3.ipynb |
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# + [markdown] id="gG_sSCizMEX7"
# <div>
# <img src="https://drive.google.com... | Week-5/ET5003_GaussianProcesses.ipynb |
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import tkinter
import translate
from translate imp... | Untitled.ipynb |
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# %pylab inline
from nbodykit.lab import *
from h5py import... | notebooks/trunk/RADECMock.ipynb |
# + deletable=false editable=false
# Initialize Otter
import otter
grader = otter.Notebook()
# -
# # Exam
import numpy as np
import matplotlib.pyplot as plt
# %matplotlib inline
# ### Question 1
# Write an infinite generator of the Fibonacci sequence.
def fib():
a, b = 0, 1
yield 0
while True:
... | test/dist-correct-150/exam_7/test-exam.ipynb |
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# + [markdown] id="6emPPi8Zvt30"
# # Python - intro 101
#
# ## Lab 1 - Qué va... | 01_RampUp/week2/labs/Lab01.ipynb |
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# + [markdown] id="jzhhIIfIXE-J"
# Mounted at google drive and change the pat... | Eval_SR.ipynb |
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# <i>Copyright (c) Microsoft Corporation. All ... | examples/00_quick_start/sequential_recsys_amazondataset.ipynb |
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# ### Preprocessing sequencing reads (FASTQs) with Cas... | notebooks/preprocess.ipynb |
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# + [markdown] id="guJN9oUUf4uR"
# # **Mic... | notebooks/Kombucha_demo.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] azdata_cell_guid="0b04834e-defa-... | samples/manage/sql-assessment-api/notebooks/SQLAssessmentAPITutorialNotebook.ipynb |
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# # plot-hrf
#
# (Last updated: 2022-02-05)
#
#... | code/HemodynamicResponseModeling/02-plot-hrf-nilearn.ipynb |
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# +
## loading packages
import pandas as pd
import nu... | model/svr/model_development-version3-svm_kfold.ipynb |
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# # LeetCode #566. Reshape the Matrix
#
# ## Question
... | LeetCode/LeetCode_566ReshapeTheMatrix.ipynb |
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# + [markdown] id="ZrwVQsM9TiUw"
# ##### Copyright 2019 The TensorFlow Probab... | site/en-snapshot/probability/examples/Probabilistic_Layers_Regression.ipynb |
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# # MNIST - Lightning ⚡️ Syft Duet - Data Owner 🎸
# ... | packages/syft/examples/duet/mnist_lightning/MNIST_Lightning_Syft_Data_Owner.ipynb |
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# + [markdown] papermill={"duration": 0.017418, "end_t... | python-api-examples/guide/core.ipynb |
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# # Core Number
#
#
# In this notebook, we will... | cugraph/cores/core-number.ipynb |
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# Filtering out the warnings
import warnings
war... | IMDb+Movie+Assignment.ipynb |
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# # Détecteur d'ours dangereux
# Si un ours vient fra... | notebooks/bearsUI.ipynb |
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# + id="Xlcokkb0bnYn" colab_type="code" colab={"base_uri": "https://localhost... | HelloGithub.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | NASA Meteorites/.ipynb_checkpoints/01-Choropleth Maps-checkpoint.ipynb |
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# # Tutorial 02: Exchange energy term
#
# > Interactiv... | docs/ipynb/02-tutorial-exchange.ipynb |
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# # Methodology
# ## Sampling Procedure
#
# - Mar... | src/ipython/15 Methodology.ipynb |
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# %config Application.log_level='WORKAROUND'
import logging
logging.getLogger('workspace').setLevel(logging.DEBUG)
import os
os.chdir('python... | tests/azure/msi/notebook.ipynb |
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# # Map extraction
#
# This notebook shows how we extr... | notebooks/map_extraction.ipynb |
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import numpy as np
from tqdm import tqdm
import matplo... | JHMDB/jhmdb_data_preprocessing.ipynb |
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# + [markdown] id="AmONFY6K2e6E"
# # Plot Saliency Map of the Inputs for Pret... | Saliency_Map.ipynb |
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# Copyright 2021 NVIDIA Corporation. All Rights Re... | DeepLearningExamples/TensorFlow/LanguageModeling/BERT/notebooks/bert_squad_tf_inference.ipynb |
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# # Instruções
#
# Esse documento é um [Jupyter notebo... | classes_gp_senai/intro_numpy.ipynb |
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# + [markdown] colab_type="text" id="b9R-4ezU3NH0"
# ## AutoGraph: examples o... | tensorflow/contrib/autograph/examples/notebooks/algorithms.ipynb |
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# # Predictive Modeling
# ### <NAME>
#
# I will set th... | sandbox/kwame/kwame_model.ipynb |
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# # Pipeline: Heterogenous data
#
# This notebook impl... | 04_Optimizing_Features_All.ipynb |
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# # Recreated NER twitter classifier
#
# So this is go... | trump_classifier/notebooks/Recreating NER classifier.ipynb |
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# PV Array geometry introduction
# ========... | docs/sphinx/tutorials/PVArray_introduction.ipynb |
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# + id="iyEGINeSelnX" colab_type="code" colab={}
# # !pip install --upgrade t... | day3_simple_model.ipynb |
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# # Lista de scripts ou cli escritos em Python
#
# >Exemplos usados na aula da [semana 16](https://ericbrasiln.github.io/intro-historia-digita... | cclhm0069/mod4b/exemplos.ipynb |
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# ## Object Detection with YOLOv5
# ### Ab... | Object-Detection-YOLOv5/yolov5s.ipynb |
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# #%%appyter init
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magic.init(lambda... | appyters/TCGA_Data_Loader/TCGA_Data_Loader.ipynb |
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# + id="e-jf5KTgGF84" colab_type="code" colab={}
import torch
import torchvis... | notebooks/BEGAN-128x128.ipynb |
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from sqlalchemy import create_engine
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# +
在这里你的任务是创建得到一个元组,并返回一个包含三个元素(第一,第三和倒数第二的给定元组)的元组与的... | easy-unpack.ipynb |
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# # Recurrent Neural Networks
#
# - Sequence data
# - ... | tfmodule/Stock_Predict_tf_RNN_1.ipynb |
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# + [markdown] nbgrader={}
# # Interpolation Exercise ... | assignments/assignment08/InterpolationEx01.ipynb |
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# # NOAA extreme weather events
# The [National Oceani... | notebooks/archive/DMA4 - NOAA storms by county without weather zones.ipynb |
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# # Transfering knowledge through finetuning
#
# In p... | chapter08_computer-vision/fine-tuning.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Mode... | tutorials/Modeling_options_and_result_analysis.ipynb |
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import numpy as np
from keras.pr... | Machine Learning /SVM/Pokemon Image Classification/Pokemon Classification.ipynb |
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# Given the problems with incompressibility and other ... | notebooks/1.5-SAM-processed-forcings.ipynb |
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import pandas as pd
import numpy as np
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from keras.datasets import mnist
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import pandas as pd
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measurements =... | Notebooks/1_data_engineering.ipynb |
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# #!/usr/bin/env python3
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... | trash/preprocessing_combine.ipynb |
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# # Getting Started with Symbulate
#
# ## Section 2. R... | tutorial/gs_rv.ipynb |
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# # A first simple model
import pandas as pd
import p... | code/app_model_chlamydia.ipynb |
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# # %%capture
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# # Qiskit Runtime API
# Qiskit Runtime is a cloud se... | tutorials/API_direct.ipynb |
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# # The New Bechdel test!
# Analysis on the new Bechde... | .ipynb_checkpoints/New Bechdel-checkpoint.ipynb |
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# # Continuous training with TF... | on_demand/tfx-caip/lab-02-tfx-pipeline/labs/lab-02.ipynb |
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# necessary packages #... | sim/sim2/data/sim2_data.ipynb |
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re... | Investment Management/Course1/lab_122.ipynb |
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# # Gaussian Code Exercise
#
# Read through the code b... | Udacity_AI_Python/Gaussian Class/gaussian_code_exercise.ipynb |
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# <div align="center"><h1>Potential Flow M... | PFM - Find worst case.ipynb |
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# + id="copyright"
# Copyright 2022 Google LLC
#
# Licensed under the Apache ... | notebooks/community/ml_ops/stage2/get_started_vertex_training_xgboost.ipynb |
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# + [markdown] colab_type="text" id="-zMKQx6DkKwt"
# ##### Copyright 2019 The... | site/en/r2/guide/keras/functional.ipynb |
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#import the required libraries and models (estimat... | ML_Pipeline.ipynb |
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# In this project, we will use a logistic ... | Logistic Regression/IncomeViaLogisticRegression.ipynb |
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import matplotlib.pyplot as plt
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# # ***Introduction to Radar Using Python and MATLAB**... | jupyter/Chapter03/circular_array.ipynb |
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# ## Quelques exercices d'initiation en python
#
# ![m... | exercices_init_cor.ipynb |
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# + [markdown] heading_collapsed=true run_control={"fr... | Week 1 _ Intro/Lectures/2.What-is-Statistics_.ipynb |