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# # Homework 2 - Berkeley STAT 157
#
# Handout 1/29/20... | homeworks/homework2.ipynb |
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from fractions import Fraction
def cantor(n):
... | pyprojects/notebooks/cantor.ipynb |
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# ###Set up working directory
# cd ~/Desktop/SSUsearc... | notebooks-pc-linux/ssu-search-Copy1.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | GAN19_Model3.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | tutorials/W1D3_ModelFitting/W1D3_Tutorial5.ipynb |
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# # SLU01 Command Line & Text Editor - Learning Notebo... | Week 01/SLU01 - Command Line & Text Editor/Learning notebook 2.ipynb |
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# # Treating a Function Like an Object
def factorial(... | .ipynb_checkpoints/5. First-Class Functions-checkpoint.ipynb |
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import numpy as np
from keras.models import Model
from... | notebooks/layers/pooling/AveragePooling2D.ipynb |
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# + papermill={"duration": 9.863348, "end_time": "2021... | 18BCE080_088_092_101_247_Submission.ipynb |
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# ### Schelling Segregation model
# This example of im... | Procedurally-generated narrative/SchellingModel.ipynb |
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# default_exp metric
#export
import os
from time ... | 02_WRMSSE_metric.ipynb |
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import pandas as pd
import seaborn as sns
import m... | manuscript_analyses/set_cover_analysis/set cover analysis for sgRNA pair design in the gene HSPB1 updated.ipynb |
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# # Introduction to `darts`
# In this notebook, we wil... | examples/darts-intro.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="8afnuTDfK... | old (to ignore)/complete data/complete_mc.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | jatana_assignment.ipynb |
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# + [markdown] graffitiCellId="id_6z92v7o"
# # Impleme... | array_strings/ipynb/array_stack.ipynb |
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# # Data analysis
# ### Importing needed ... | data analysis.ipynb |
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# %matplotlib inline
#
# Hidden Markov Model
# ======... | numpyro/_downloads/83a510f7be054c2e2c361f98237ae6b0/hmm.ipynb |
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# # Born Again Training:
# ## Does re-labeling traini... | tutorials/SPI1 Genomewide regression Born Again Training .ipynb |
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# # Softmax exercise
#
# *Complete and hand in this co... | assignment1/softmax.ipynb |
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import pandas as pd
import numpy as np
df = pd.read_cs... | Test Project.ipynb |
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'hello'
"hello"
'"python course"'
"'pyt... | Python Basics/Strings.ipynb |
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# # Visualize 2D synthetic density estimation result
... | 2d_density_estimation/draw_2d_density_estimation_figure.ipynb |
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# + [markdown] id="aNvfu_46jZtz"
# # Objec... | Python/1. Python Basics/Notebooks/3. Classes and OOP/Objects_Classes_(some more primes fun).ipynb |
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#default_exp sentryUtil
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#hid... | nbs/sentryUtil.ipynb |
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# %matplotlib inline
#
# # Decoding source space data... | 0.14/_downloads/plot_decoding_spatio_temporal_source.ipynb |
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# # CH. 7 - TOPIC MODELS
# ## Exercises
# #### Exerci... | Exercise01-Exercise12/Exercise01-Exercise12.ipynb |
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# + id="zYyNboLVncDg" executionInfo={"status": "ok", "... | 04-rossman/kaggle-rossmann-master/06-full-model.ipynb |
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# # In this Jupyter notebook we demonstrate how to b... | notebook/Python_Predictive_Model.ipynb |
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# <img src="images/logodwengo.png" alt="Banner" width=... | Wiskunde/FunctiesPythagoras/0300_Pythagoras.ipynb |
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import pandas as pd
from sklearn.feature_extraction.text import Tf... | game.ipynb |
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# # Decision Trees
#
# Imagine you have a set of data ... | Instructor Documents/6DecisionTrees_and_RandomForest_Instructor.ipynb |
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class EvenList:
def __init__(self, arr):
... | Section_2/Object Oriented Programming.ipynb |
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# + [markdown] toc=true
# <h1>Text to Speech and Speec... | TextToSpeech & SpeechToText Python Module.ipynb |
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# # Import Model
from keras.models import load_model
... | Project_2/TEST_SAVED_MODEL.ipynb |
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# # How to download and read the Solvency 2 legislatio... | notebooks/How to download and read the Solvency 2 legislation.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | study_roadmaps/1_getting_started_roadmap/8_expert_mode/1) Create experiment from scratch - Mxnet backend - train, validate, infer.ipynb |
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# # Visualize FFT Datasets
#
# Visualize the real TNG FFT datas... | notebooks/Visualize FFT Real and Sim.ipynb |
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... | exercises/2.07.ipynb |
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# # WeatherPy
# -... | main_script/WeatherPy.ipynb |
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# default_exp models.XCMPlus
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# # # ... | Notebooks/Modelling.ipynb |
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# Turn this addition off with the DataScience.changeDi... | LOFexamplenotebook.ipynb |
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pwd
# Dependencies and Setup
import pandas as pd
impo... | Data/cleaning_data_wrbk/longlat_information.ipynb |
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# ### ASCTB - AZ
# ### Perfect Match in AZ
import re... | Python/.ipynb_checkpoints/OLS matching 1-checkpoint.ipynb |
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import requests
import pandas as pd
from time import s... | Galactic Punks NFTs.ipynb |
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# + [markdown] id="pQwmBz1GumJR"
# <... | t81_558_class_09_3_transfer_nlp.ipynb |
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print("How old are you?", end=' ')
age = input()
p... | E11.ipynb |
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# # Jupyter Notebook for Counting Building Occupancy f... | Hollowed SULI/Polaris_Building_Population_Count.ipynb |
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# # Tensor shapes in Pyro 0.2
#
# This tutorial introd... | tutorial/source/tensor_shapes.ipynb |
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# + id="y7BAlRdOa3uk" colab_type="code" colab={"base_uri": "https://localhost... | 3/3_3_4.ipynb |
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# # Part 01
#
# The data is leaded from url and is explored to ... | Code/P01_01_Data.ipynb |
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# + [markdown] id="view-i... | mnist_odd_even_transfer_learning.ipynb |
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# # ARIMA Model - Stock Price Prediction
... | stock_price_predictors/regression_models/ARIMA.ipynb |
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import xarray as xr
from matplotlib import pyplot as p... | notebooks/draw_figs_esm.ipynb |
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# #!/usr/bin/env python3
# -*- coding: utf-8 -*-
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# # Spectral Ananlysis
# ## 1. Import Libraries
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# [![AWS Data Wrangler](_static/logo.png "A... | tutorials/007 - Redshift, MySQL, PostgreSQL, SQL Server.ipynb |
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# <br><h1 align="Center"> <img src="https://serea2017.... | Semana2_IntroduccionRedesNeuronales_cholo_orjuela.ipynb |
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# # Mapping Epicollect points in Hillside Woods
# Our... | notebooks/simple_mapping_demo.ipynb |
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# # **Meta-Optimization for Automati... | Meta-Optimization for Automating Model.ipynb |
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# Fig. 12. Ke... | pose_classification/pose_classification.ipynb |
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# # Twitter sentiment analysis
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# The data is represe... | Code/twitter_sentiment_analysis.ipynb |
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# # Sequence Classification task with Vespa
# > python... | docs/sphinx/source/use_cases/sequence-classification-task-with-vespa-cloud.ipynb |
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# ## Stock Market Timing / Buy Sell Signals
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# This n... | docs/python_MM_RSITimer.ipynb |
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# # <NAME>IND THE CODE 2020
#
# ## DESAFIO 2: PARTE 2
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# # GEOG489 SP22 Midterm
# ---
# ### Question 1:
# S... | Exam/GEOG489 SP22 Midterm.ipynb |
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def forced_choice_permutation_accuracy(data1, data2, m... | Codes/fMRI_analyses/Forced_choice_permutation_accuracy.ipynb |
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# # Cifar10: TF Custom trai... | code/phase0/working/TF-WalkThrough/Z.REF-CIFAR10-Training.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + [markdown] id="SKOD9lvq5kdM"
# # PYTORCH CNN Classifier
#
# To run this n... | experiments/tokenization_comparison/utils/torch_cnn_character.ipynb |
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# # Linear Regression
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# This notebook demonstrate a ... | exercise_04/1_linear_regression.ipynb |
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# # Slicing
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# # Post Grad Income Data by State:
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# + slideshow={"slide_type": "-"}
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# + [markdown] _uuid="fca6815e12081ccb8df84000c8965c59... | Jupyter notebook/IBM/python for data science/python tuples.ipynb |
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# # An old FiPy solution to 1D BL
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# + colab={} colab_type="code" id="5EPC_hl-aFf-"
impor... | Tounge Twisters - Text Classification and Naive Bayes/Group6-NLP-04-Assignment.ipynb |
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# ## Fibonacci
#Esta línea se ocupa para que las gráf... | EDyA_I/theme_2/code/fibonacci/fibonacci.ipynb |
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# # **Traffic Sign Re... | Writeup_md.ipynb |
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# # In-Class Coding Lab: Lists
#
# The goals o... | content/lessons/09/Class-Coding-Lab/CCL-Lists.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
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