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import numpy as np
import matplotlib.pyplot as plt
# %... | 12 Steps to Navier-Stokes/Step 2 - Adding Non-Linearity (Burger's Inviscid Equation).ipynb |
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# # Particionado
# ## Creamos una sesión de spark
f... | code/curso-apache-spark-platzi/5. Particionado.ipynb |
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from fdh_gallica import Periodical, Search, Docume... | notebooks/Cleaning the Metadata.ipynb |
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import os, re
import lxml.etree as ET
# change the ... | workflow/XSLT.ipynb |
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import sys
sys.path.append("../../")
import numpy as ... | HGPextreme/examples/oned/func_prediction.ipynb |
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os.environ['CUDA_VISIBLE_DEVICES'] = '0... | pretrained-model/tts/fastspeech2/calculate-alignment-tacotron2-husein.ipynb |
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... | exercises/2.69.ipynb |
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# ## Exploring COVID Papers
#
# This notebook ... | notebooks/ExplorePaperTerms.ipynb |
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# + [markdown] id="_d4uCpilVg_i"
# # Pneumonia Detecti... | xray_pneumonia_detection.ipynb |
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# # Lab 5: Logistic Classification
# Author: <NAME> (... | Lesson-05_Logistic_Classification.ipynb |
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# # List Basics
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#
# __Lists__ are a collection d... | .ipynb_checkpoints/01 List Basics-checkpoint.ipynb |
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# ================================================... | ai-platform-tf/Vertex/image_tf.ipynb |
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"""
Created on Wed Nov 4 2020
@author: <NAME>
"""... | Pandas_Python/pandas - data analysis.ipynb |
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# %cd /home/jovyan/work
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from chordifier.algorith... | lab/test.ipynb |
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# <img src="https://github.com/pmservice/ai-openscal... | notebooks/with-outputs/CreditModelSagemakerLinearLearner-with-outputs.ipynb |
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# This notebook implements a pre-trained sentiment ana... | jupyter_gateway_deployment/nn-analytics-service-pcf.ipynb |
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import numpy as np
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# + [markdown] deletable=true editable=true
# <h1> Fea... | courses/machine_learning/feateng/feateng.ipynb |
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#... | module3-cross-validation/Harrison_Kang_LS_DS_223_assignment.ipynb |
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# -*- coding: utf-8 -*-
from __future__ i... | fivePointRegression/fivePointRegression.ipynb |
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# %matplotlib inline
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imp... | docs/_static/notebooks/moment-comparison.ipynb |
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# %reset -f
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# **420-A58-SF - Algorithmes d'apprentissa... | nbs/02-04-regles-association/02-04-tp.ipynb |
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# ### Assignment
#
# #### Data Description
# - covid d... | 1.Python/covid_data_analysis-Assignment.ipynb |
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# + [markdown] colab_type="text" id="b7noD9NjFRL-"
# <table class="tfo-notebo... | tensorflow/compiler/xla/g3doc/tutorials/autoclustering_xla.ipynb |
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# name: conda-env-Python_Requirements... | Credit Risk Evaluator.ipynb |
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# import os
# import pydub
# import glob
mp3=glob.... | pythoncode/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# # Primer programa
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f... | Kata 1/kata1.ipynb |
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# name: python385jvsc74a57bd01abf8de982abe96e657c85b87b33ad381284ca2f5... | NeoBlog.ipynb |
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# # Data 620 Project 3
# ## Classification
# <NAME> an... | Project_3/Project_3_final.ipynb |
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# Just for some quick analyses or visualizations.
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# This notebook was prepared by [<NAME>](https://githu... | recursion_dynamic/n_pairs_parentheses/n_pairs_parentheses_challenge.ipynb |
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import numpy as np
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# # Combinatorial library properties
# ## Aim of this... | notebooks/4_2_combinatorial_library_properties.ipynb |
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#densenet
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#future is the missing compat... | Siraj_Akash/word_vectors_game_of_thrones-LIVE-master/demo.ipynb |
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# # Julia By Example
# ##... | julia_by_example.ipynb |
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import pandas as pd
import numpy as np
pd.set_opti... | Notebook Folders/Data Engineering.ipynb |
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# # Stochastic differentia... | notebook/sde_stochasticdiffeq/sde_stochasticdiffeq.ipynb |
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# ## Nonlinear Model Predictive Control with C-GMRES
... | PathTracking/cgmres_nmpc/cgmres_nmpc.ipynb |
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suppressMessages(library(DESe... | notebooks/Feb2019-uORF-DESeq2.ipynb |
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# %pylab inline
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N=5
q = linspace(0,1,N)
def lin(... | Untitled Folder/Untitled.ipynb |
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from bs4 import BeautifulSoup
import requests
import p... | 10 beautifulsoup practice, server, pandas plotting/01 daphne_(felix).ipynb |
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# %matplotl... | 01_car_plate_detection.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | chapter07.ipynb |
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# # Continuous Change Detection (CCDC) Land Cover
# T... | Notebooks/Exploration/Change_Detection.ipynb |
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# + [markdown] colab_type="text" id="N6ZDpd9XzFeN"
# ##### Copyright 2018 The... | TPU/Write_Star_Wars_Script_with_Cloud_TPUs_and_Keras.ipynb |
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raw_data_dir = '../data/raw/'
interim_data_dir = '../d... | notebooks/data_processing.ipynb |
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# + [markdown] id="UFxjMI4KKpAQ"
# #Loica and Flapjack setup
# + colab={"bas... | Code/Fig_4_5_experimental_data.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | OpenUE_demo.ipynb |
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# #### ISM5935 - Fundamentals of Data Visualization
# ... | pandas review 2/Pandas Class Demo.ipynb |
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# # Dual CRISPR Screen Analysis
# # Count Plots
# <NAM... | notebooks/crispr/Dual CRISPR 5-Count Plots.ipynb |
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# # ODYM Example no. 1. System with two processes, tw... | docs/.ipynb_checkpoints/ODYM Example and Tutorial No. 1. System with two processes, two parameters, one material-checkpoint.ipynb |
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import os
import re
import json
import utils
impor... | COVID-19 Research Data/doc2vec.ipynb |
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# ## Multiple Shooting methods for ODEs
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import t... | benchmarks/numerics/bench_mshooting.ipynb |
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import matplotlib.pyplot as plt
im... | Dec_2020_PPP_Work.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Weights_and_Bias_Trials_FinRL_for_Stable_Baselines3_models.ipynb |
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# <div style="width: 100%; overflow: hidden;">
# <... | 3.5 - Conditional Interventions and Covariate-Specific Effects.ipynb |
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# # Modeling - Malware Labeling - Logistic Regression
... | notebooks/modeling/malware_category_labeling/logistic_regression.ipynb |
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import numpy as np
import torch
import... | TD3notebook-random_points.ipynb |
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# # Beautiful Photometry
#
# * [GitHub]()
#
# A set of... | examples/beautiful_photometry.ipynb |
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# ### Using MLRun with a remote... | examples/remote-spark.ipynb |
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import pandas as pd
import numpy as np
from numpy impo... | Employee_Compensation_Solution-final.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | day5.ipynb |
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# # ------------ First A.I. activity ------------
# ... | drafts/exercises/ibovespa.ipynb |
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# Euler Problem 70
# ================
#
# Euler's Toti... | Euler 070 - Totient permutation.ipynb |
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# # Real Estate Appraisal
# ## 0. Table of Contents
#... | scripts/en/.ipynb_checkpoints/regression_models_v03-checkpoint.ipynb |
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#default_exp vision.d... | nbs/08_vision.data.ipynb |
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# <!--BOOK_INFORMATION-->
# <img align="left" style="p... | Lectures/05-Built-in-Scalar-Types.ipynb |
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def create():
stack = []
return stack
def ... | Stack/Sort Using Temporary Stack.ipynb |
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# ## Los Alamos National Lab Data Preparation
# *Sourc... | examples/LANL_LM_data.ipynb |
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from generate_samples import load_rnn_samples, load_hu... | notebooks/Evaluation.ipynb |
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# # 2-layer FNN on MNIST
#
# This is MLP (784-200-200-... | intrinsic_dim/plots/more/fnn_mnist.ipynb |
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# # Optimización mano de obra
# ## integrantes:
# + ... | Proyecto_Modulo1_LeyvaA_MendozaF_SalazarG final.ipynb |
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# # Collaborative Filtering using fastai
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# %rel... | notebooks/lesson4-collab.ipynb |
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#
# Black-box interpretation of ... | interpreting_ml_tuto/black_box_interpretation.ipynb |
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# # Sigmoid Function
# ### Normal Step Function
def ... | BookExercises/DeepLearningFromScratch/.ipynb_checkpoints/Chapter3_190802-checkpoint.ipynb |
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# # P3 testing your code tutoria... | samples/notebooks/P3 interactive/interactive Terminal.ipynb |
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import matplotlib
import matplotlib.pyplot as plt
impo... | Greedy-Policy-Valid-Time.ipynb |
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# # 03 - TFX Interactive Training Pipeline Execution
#... | 03-training-formalization.ipynb |
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# ## Applications
#
# Index of advanced applications a... | examples/Applications/Index.ipynb |
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from __future__ import absolute_import
from __futu... | object_branch/demo/demo_suncg.ipynb |
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# # Parameters
#
# The next code block set... | notebooks/reference/RT_Prediction.ipynb |
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con = pymysql.connect( db = 'db', use... | pymsql_file.ipynb |
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# # Moneyball Project
#
# This is a project from an R Data Science cours... | notebooks/.ipynb_checkpoints/Moneyball-checkpoint.ipynb |
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import nltk
import pandas as pd
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fro... | naive_bayes.ipynb |
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# # **Neural Networks**
#
# ---------------
#
# Neural... | notes/nn.ipynb |
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# # NSD Data Loader
#
# This script illustrates usage ... | Demo_NSD_DataLoader.ipynb |
# -*- coding: utf-8 -*-
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# # "Numerai Analysis & Ti... | _notebooks/2021-07-14-analysis_and_tips_julia.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Experiments/De_Scrambling_Text_from_scratch.ipynb |
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# # Demystifying Neural Networks
#
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# # Trainin... | 08-training.ipynb |
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# + active=""
# 说明：
# 给定字符串croak Of Frogs，它表示来自不同青... | Dynamic Programming/1009/1419. Minimum Number of Frogs Croaking.ipynb |
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# default_exp utils
# -
# # Utilities
#
# > Helpe... | nbs/000_utils.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | tutorials/003_Other_Methods _Neuron_Ablations_and_Network_Compression.ipynb |
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# # Time Series Visualizations
#
# This no... | source/examples/demo/delhi_climate.ipynb |