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## While Loop
# -
i = 0
while i < 5:
print(i)... | my_classes/basic/.ipynb_checkpoints/while_loop-checkpoint.ipynb |
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# # Covid-19: From model prediction to model predictiv... | src/SEIRSNetworkModel_demo.ipynb |
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mname = 'preresnet_h67'
seed = 723
fold = 0
gpu_id = ... | wienerschnitzelgemeinschaft/src/Russ/preresnet_h67_0a.ipynb |
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import pandas as pd
import numpy as np
import matp... | 2021_legrest/hampel_filter.ipynb |
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# + [markdown] slideshow={"slide_type": "skip"}
# <tab... | 06_iterative.ipynb |
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# + [markdown] id="fXTUvpnu1s7M"
# # Mount Drive
# + colab={"base_uri": "htt... | project/7_hyperparameter_tuning/hyperparams_tuning_batch64.ipynb |
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# # HDF5 + Python
#
# Let's say you have a giant array... | 2019-bern/11-Extras/intro_to_hdf5.ipynb |
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import glob
import numpy as np
from cartesian import *... | CIS1_PA1/6.ipynb |
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import torch
from PIL import Image
import torc... | train.ipynb |
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# ### Упражнение 1
#
# Был произведен рассчет доли газ... | task 2/Kalyuzhin_AS/Exercises_Kalyuzhin_AS-checkpoint.ipynb |
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# # 1.2.0 Heatmap Papers
# Want to prioritize words th... | notebooks/1.2.0_Heatmap_Papers.ipynb |
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from sys import path
path.append(r"D:\\SmartCloudF... | tushare/compute_pe.ipynb |
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# 
# <center><em>... | 7.9 Descriptive Statistics with Dataframe.ipynb |
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# # 분류 모형의 평가
# * Learning curve
# * Validation curve
... | 05Evaluation_Selection/03LearningValidationCurve.ipynb |
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import torch
import sys
import numpy a... | nns_based_approach/tests/test_grad_operators.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | Bay State Banner Voting Patterns/Age_Analysis.ipynb |
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# + [markdown] id="qM_XHcPVzUei"
# # TSNE embeddings f... | data_2d_projection/tsne embeddings monthly.ipynb |
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# + [markdown] colab_type="text" id="70meWpLVSMGt"
# #... | _notebooks/2020-09-05-fastai_MNIST.ipynb |
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# # Lesson 1: Data Analysis ... | lessons/lesson1.ipynb |
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import numpy as np
import pandas as pd
i... | chapter-8-weak-supervision-snorkel/imdb-with-snorkel-labels.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 28septiembre.ipynb |
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# ## Load libraries
import pandas as pd
import numpy ... | docs/!ml/notebooks/Under-over sampling.ipynb |
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# # NLP Basics: Implementing a pipeline to... | nlp/Ex_Files_NLP_Python_ML_EssT/Exercise Files/Ch01/01_11/End/01_11.ipynb |
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# # Linear Regression
# %matplotlib inline
import mat... | course/3 Machine Learning.ipynb |
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# + [markdown] id="-MYot7DJh9kk"
# See code at https://github.com/google-rese... | vit_jax.ipynb |
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# ## tFBA with metabolomic constraints
#
# This notebo... | examples/EColi TFA with metabolomic data.ipynb |
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from sklearn import metrics
import numpy as np
import ... | demo.ipynb |
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# # Refine BiGG IDs
# +
from pprint import pprint
im... | examples/E_coli_core.ipynb |
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# # <strong>Recurrent Neural Networks Using Pytorch</strong>
# ##... | supervised-deeplearning/notebooks/RNNPyTorch.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Commutative, Pearson and Callbacks.ipynb |
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# + id="wkm0Add8vPyK"
import numpy as np
import time
... | codes/temperature_init_sensitivity_5b.ipynb |
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# # Day 4: The Ideal Stocking Stuffer
# Santa needs h... | 2015/Day04/Day4.ipynb |
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# ## M.A.R.C.H. incident analyses by location
#
# In t... | notebooks/01-march-and-311-analysis.ipynb |
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# # Remote Data Science
#
# The purpose of this notebo... | examples/mock_apis/Remote Medical Data Science Grid Mock API.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 13Enero.ipynb |
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# + [markdown] toc="true"
# # Table of Contents
# <p>... | DeepLearningA-Z/02-supervised-deep-learning/02-Convolutional-Neural-Networks-CNN/.ipynb_checkpoints/02-Building-a-CNN-checkpoint.ipynb |
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# # KNN Test
#
# Testando 30 rodadas com algoritmo KNN ... | ML/f00-sklearn_explore/01-knn/01-test.ipynb |
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import os
import warnings
warnings.filterw... | Gundog/TinyOdom_GunDog.ipynb |
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# # CHAPTER 7 Semantic ... | Chapter-7.ipynb |
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# # T81-558: Applications of... | t81_558_class_04_4_backprop.ipynb |
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import json
import math
import numpy as np
import matp... | examples/follow_suit/paper_results/graphs/Plot learned rules distribution.ipynb |
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import sys
sys.path.append("../")
import... | notebooks/dataset_rtsim_conti01.ipynb |
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# %matplotlib inline
#
# # Density Estimation for a G... | sklearn/sklearn learning/demonstration/auto_examples_jupyter/mixture/plot_gmm_pdf.ipynb |
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import warnings
warnings.simplefilter("ignore")
wa... | Jobathon CL (KNN Model).ipynb |
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# # Python Tools for Data Analysis
#
# <div class="a... | 6.Python-Tools-for-Data-Analysis.ipynb |
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from dateutil import parser
date = parser.parse("4th o... | Practice_Notebooks/Practice (Online + Class).ipynb |
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# + [markdown] colab_type="text" id="iQjHqsmTAVLU"
# #... | 1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning/Week 3/mnist_above_99_accuracy.ipynb |
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# + [markdown] tags=["remove_cell"]
# # Quantum Counti... | content/ch-algorithms/quantum-counting.ipynb |
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# # Module 3 Practice 1
# ## Conditionals ... | Python Absolute Beginner/Module_3.1_Practice.ipynb |
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from intercode import AutoencoderLinearDecoder, train_... | notebooks/example-Macosko15.ipynb |
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# ## Base imports
# +
# %matplotlib inline
from __fut... | notebooks/classification/MC_dropout_MNIST.ipynb |
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# # Practice Assessment
# This is your first assessmen... | Program/.ipynb_checkpoints/Test 1-checkpoint.ipynb |
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import torch
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import os, sys, time, copy
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import os
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cities = pd.read_csv('ci... | LKH.ipynb |
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# # Lecture 3.14: Introduction To Pytorch
#
# [**Lectu... | data_analysis/3.14_introduction_to_pytorch/introduction_to_pytorch.ipynb |
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# ## 1 - Packages
# - [numpy](https://www.numpy.org)
#... | 2-Layer-NN-without-tensorflow.ipynb |
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# # Números
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# Los numeros se clasifican por sus prop... | notebooks/matematica/preuniversitaria/numeros.ipynb |
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# # Efficiently Donating Excess COVID Vaccine Supplies... | start-here.ipynb |
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# %matplotlib inline
import numpy as np
import matplot... | 12-steps-CFD/step07_2DdiffusionEq.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/03_DepthModel_MeanStd.ipynb |
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from sympy import Sum, oo, Function, S, symbols, solve... | Sequence sum.ipynb |
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# %matplotlib inline
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# # Digits Classification Exer... | sklearn/sklearn learning/demonstration/auto_examples_jupyter/exercises/plot_digits_classification_exercise.ipynb |
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# # MNIST classif... | notebook/TF_2.0/10_Example_mnist_tensorflow_eager.ipynb |
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# # LS11 with Tunable Periodic Components
# Loehle a... | ls11_notebook_004.ipynb |
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# + [markdown] de... | 3-seq2seq-native-new.ipynb |
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import pandas as pd
to2019 = pd.read_csv('/Users/phil... | Dashboard/2021-03-24_trying_to_link_crime_and_census.ipynb |
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# ## ipyleaflet and mapquest
#
# Get your free API key... | notebooks/.ipynb_checkpoints/ipyleaflet-checkpoint.ipynb |
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# + [markdown] papermill={"duration": 0.012406, "end_t... | course/Data Visualization/line-charts.ipynb |
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# # Reconstruct the Original Meeting Transcripts
impo... | Reconstructing.ipynb |
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# ##### Copyright 2020 The Cirq Developers
... | docs/protocols.ipynb |
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# # Simulating GLasso with Stock portfolio
# - [Sparse... | Statistical-Learning-StandfordNB/Notebook/Portfolio Optimization with GLasso.ipynb |
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# + id="abjPZ50TtPxx"
def HammingDistance(string1, string2):
counter = 0
... | BA1G.ipynb |
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import numpy as np
import pandas as pd
import matp... | FeatureSelection_Drought.ipynb |
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#To use psycopg2 to join SQl and jupyter n... | HW_partI_climate_analysis.ipynb |
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# Plik z pre-processingiem danych do modelu. Zawiera s... | data_preparation.ipynb |
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# + id="zX4Kg8DUTKWO"
#@title Licensed under the Apache License, Version 2.0 ... | sequences-time_series-predictions/S+P_Week_1_Lesson_3_Notebook.ipynb |
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# # Microbenchmarks on CPU
# This is a notebook for mi... | examples/micro-benchmarks/notebooks/micro-benchmarks-cpu.ipynb |
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# # ACS2 in Multiplexer
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# %matplotlib inline
# G... | notebooks/ACS2 in Multiplexer.ipynb |
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# # Recommendations with IBM
#
# In this notebook, you... | Recommendations_with_IBM.ipynb |
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# + [markdown] id="hLEyhfMqmnrt" colab_type="text"
# ## Colab JAX TPU Setup
... | cloud_tpu_colabs/JAX_demo.ipynb |
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# 12 steps to Navier-Stokes
# =====
# ***
# The f... | lessons/15_Step_11-Copy1.ipynb |
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# # Getting started with the practicals
#
# ***These n... | practicals/week_1_new.ipynb |
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# # Flame Speed with Sensitivity Analysis
# In this e... | Examen/.ipynb_checkpoints/flame_speed_with_sensitivity_analysis-checkpoint.ipynb |
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# Copyright 2021 NVIDIA Corporation. All Rights Re... | cudf-sandbox/01-Download-Convert.ipynb |
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import psycopg2
import nltk
import unicodedata
import ... | notebooks/ann-text-processing2.ipynb |
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# <a href="https://colab... | 02. K Nearest Neighbor (KNN)/Knn.ipynb |
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# ## GLIMS region files download: Level 0 files
# Thi... | workflow/preprocessing/02_l0_download_from_glims.ipynb |
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# ## 1. Writing your first script
# Remember the function `... | exercises/sol_1_4.ipynb |
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# %pylab inli... | notebooks/02.PCA-vanilla.ipynb |
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# # TIC TAC TOE GAMES
import random as rd
from IPytho... | TicTacToe.ipynb |
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#Import libraries
# %matplotlib inline
import pandas a... | notebooks/2.ODI_CaseStudy.ipynb |
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# # Ch `06`: Concept `01`
# ## Hidden Markov model fo... | ch06_hmm/Concept01_forward.ipynb |
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# # NBB
# ## Data munging
#
# Data munging (sometimes... | Week_1/NBB_Data_Munging_Wrangling.ipynb |
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# # Breaking simple things with `battle_tested`
#
# Wh... | tutorials/breaking_simple_things.ipynb |
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# <h1 align="center"> PR#06 Dinamika Sistem dan Simula... | Final_Task_2019/ExtraElectroMechanicalGearedMotor/PR06 Nomor 2 Part 2.ipynb |
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# + [markdown] id="FzZVTkFT5RBu"
# #PID Control Simulation
#
# This is a simu... | notebooks/PID_Control_Simulation.ipynb |