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import numpy as np
from keras.models import Mo... | notebooks/layers/wrappers/TimeDistributed.ipynb |
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# # scaredyrat-FC analyzes data from fear conditioning... | dev/scaredyrat-FC.ipynb |
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# <img src="../Pics/MLSb-T.png" width="160">
# <br... | DEEP_NLP_resources/3-Deep-Learning for NLP/GloVe-Yelp-Comments-Classification.ipynb |
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import ikpy.chain
import numpy as np
... | RobotArmCtrlClient/ikpy_tutorial.ipynb |
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# ### Background
# This notebook includes an example... | Exercises-with-open-data/Warming-up/Invariant-mass-histogram-select-data.ipynb |
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# # First Study on Brazilian Cities Transparency Porta... | research/develop/2017-05-19-jtemporal-cities-transparency-portal.ipynb |
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# ## Spark
#
# Before you turn this problem in, make s... | site/_build/jupyter_execute/notebooks/10-big-data/03-spark-questions.ipynb |
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# + [markdown] slideshow={"slide_type": "s... | Asia/Additional material/Asia logical structure.ipynb |
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# + id="7JYnK4SIwOy6" colab_type="code" colab={"base_uri": "https://localhost... | marix_one/day3.ipynb |
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# + [markdown] deletable=false editable=false nbgrader... | Problem 1.ipynb |
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# + [markdown] id="37vrnAFPW6_C" colab_type="text"
# #Exercise 10.02: Analyse... | Chapter10/chapter10_exercise2.ipynb |
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import defense
import tensorflow as tf
from skimage.me... | Com_l2_SSIM.ipynb |
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# + [markdown] id="XiEEOSApViQo"
# # Métodos Específic... | listas/.ipynb_checkpoints/parte14-checkpoint.ipynb |
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k = [[128, 128], [256, 256], [512, 512], [... | .ipynb_checkpoints/test-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | dictio_02.ipynb |
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# # SSD7 Training Tutorial
#
# This tutorial explains ... | ssd7_training_Instance.ipynb |
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import sys
import json
from pathlib import Path
f... | ipynb/example.ipynb |
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from eval_utils import export_from_mlflow
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mlflow_u... | src/evaluate_results.ipynb |
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# %matplotlib inline
#
#
# ==========================... | dev/_downloads/6035dcef33422511928bd2247a3d092d/plot_source_power_spectrum_opm.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab... | tutorials/W1D1_ModelTypes/student/W1D1_Tutorial1.ipynb |
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# ## I. Introduction to Python
#
# **Econometrics** is... | .ipynb_checkpoints/Introduction to Python-checkpoint.ipynb |
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# # AdaBoost Regr... | Stock_Algorithms/AdaBoost_Regressor.ipynb |
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import sympy as sym
import matplotlib.pyplot as plt
# ... | .ipynb_checkpoints/03-1_LTI_Respuesta_impulsional-checkpoint.ipynb |
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import jieba
import random
import warnings
from iterto... | rule_and_pattern_based_lanuage_generation/source_code/pattern_match_based_language_generation.ipynb |
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# #... | Lecture1/Introduction to Computer Programming.ipynb |
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# Although Basenji is unaware of the locations of know... | tutorials/archive/genes.ipynb |
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import json
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i... | data-processing-notebooks/.ipynb_checkpoints/mpd-slice-combine-checkpoint.ipynb |
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# + [markdown] hideCode=false hidePrompt=false sli... | slides/2022-02-28-low-rank.ipynb |
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# # All at odds - part 1
# It won't come ... | _notebooks/2021-11-24-All at odds - Part 1.ipynb |
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# # FloPy
#
# ## Plotting SWR Process Results
#
# This... | examples/Notebooks/flopy3_LoadSWRBinaryData.ipynb |
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# Importing the required librar... | codes/P01_sin_simple.ipynb |
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# + [markdown] id="P9bJCDjdlgG6" colab_type="text"
# # **Spit some [tensor] f... | Tensorflow_2X_Notebooks/Demo68_ANNforBikeSharing.ipynb |
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# # CVR Registret
#
# This code cleans the Danish regi... | CVR/materialize.ipynb |
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# # Machine Learning Engineer Nanodegree
# ## Unsuperv... | customer_segments.ipynb |
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# <h1>MANDATORY PACKAGES</h1>
import xarray
import os... | PythonNotebooks/workshops/201903_Edinburgh/notebooks/5_GridedData_TimeSeries.ipynb |
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# <h1> Preprocessing using tf.transform and Dataflow <... | courses/machine_learning/deepdive/06_structured/4_preproc_tft.ipynb |
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# %load_ext autoreload
# %autoreload 2
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# <h2> Creazione serie storica dei decessi giornalieri... | Modulo 2 - Analisi dei dati per i 7.357 comuni/Creation of time series of daily deaths (7.357 municipalities).ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | DermDetect.ipynb |
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# # Assignment 2
# ### Author: <NAME>
# +
# 1. Descr... | Assignments/Assignment_2_Tanay.ipynb |
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# + [markdown] id="limiting-remove"
# # Mixed Data Fea... | lectures/tf/tf_4.ipynb |
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# # Final Project
# <NAME> <br>
# November 23, 2020
#... | Analysis.ipynb |
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# # FIFA 19 Exploratory Data Analysis
# +
# import ne... | Code/Data Prep/Week 3 - EDA.ipynb |
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# # Run Daily Space-Time LISA
# * Software dependenci... | code/run_daily.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} exec... | ai/KcELECTRAchatbot/Service.ipynb |
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# Implement an algorithm to find the kth to last e... | Python/LinkedList/return_kth_to_last.ipynb |
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# # 10.3. Computing the autocorrelation of... | chapter10_signal/03_autocorrelation.ipynb |
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# + id="7k4czsKzJGF-" colab_type="code" colab={}
import pandas as pd
import n... | Recomendador de aplicativos APPLE STORE.ipynb |
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# + [markdown] id="_xGwQdv44OkO"
# # 머신 러닝 교과서 3판
# +... | ch12/ch12.ipynb |
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# + [markdown] application/vnd.databricks.v1+cell={"inputWidgets": {}, "nuid": "3fe3b97a-aabd-44da-bb3c-2369f8ec97d8", "showTitle": false, "ti... | tutorials/Certification_Trainings/Healthcare/databricks_notebooks/7.Clinical_NER_Chunk_Merger_v3.0.ipynb |
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#'''
#Demonstrates GRAPPA reconstruction of unders... | notebooks/MR/Old_notebooks/Gadgetron/grappa_detail.ipynb |
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import twint
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# # Introduction
# State notebook purpose here
# ### ... | Tutorial import .json MLaaS.ipynb |
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# ### Allow relative imports
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# # Evaluate re-coupling coefficients
using JAC, ... | tutorials/94-evaluate-recoupling-coefficients.ipynb |
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# + [markdown] id="DFVYyoMKKj7i"
# # Probability in Python
# + [markdown] id... | Statistics/stats.ipynb |
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# # Lab Assignment 3
#
# ## <NAME>, s2028017
#
# We co... | .ipynb_checkpoints/Lab_3_Assignment-checkpoint.ipynb |
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import os
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path = 'C:... | All+CSV+Files+in+a+Folder.ipynb |
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# # Read the dataset
# #### Download the dataset from... | Projects/credit-card-fraud-detection/Credit_Card_Fraud_Detection.ipynb |
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import numpy as np
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# # Práctica
# ## Catálogo de películas con ficheros y... | MaterialCursoPython/Fase 4 - Temas avanzados/Tema 12 - Manejo de ficheros/Apuntes/Leccion 04 (Apuntes) - Catalogo de peliculas persistente.ipynb |
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# + papermill={"duration": 16.34767, "end_time": "2021... | Code/train_tf-b3ns-seti-896.ipynb |
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# + [markdown] colab_type="text" id="CG77DrrB2CrU"
# #... | Day41/Day41_train_yolov3_Sample.ipynb |
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# # Exercise Solutions
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# ## Pythonic Exercises
... | Exercise-Solutions.ipynb |
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# # ML2CPP
# ## Preparing the dataset
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from sklea... | doc/SVM/ml2cpp_svm_regressor_boston.ipynb |
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# ### Question: Does Clauset's method independently ve... | notebooks/clauset.ipynb |
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# # Anomaly detection
#
# This notebook propose metric... | notebooks/thorium-large/[A] eda.ipynb |
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import ipywebrtc as webrtc
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# + [markdown] id="P9bJCDjdlgG6" colab_type="text"
# # **Tame Your Python**
#... | MachineLearning_DataScience/Demo115_RandomProjection_LFWPeople.ipynb |
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# ## Python 3.6 script that reads CSV input file for C... | Design_docs/SampleInputData/.ipynb_checkpoints/Load_WaterRights_CO_SQLServer-checkpoint.ipynb |
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# [](https://pytho... | 06_expresiones_regulares.ipynb |
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# ## Exercícios Capítulo 05
# +
# Exercício 1 - Crie ... | 05-Orientacao_Objetos/Aline/06-Exercicios - Resolvidos.ipynb |
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# # Neural Networks
# ## Import and Prepare the Data
... | Lab8.ipynb |
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# # Countries
# **[Work in progress]**
#
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# + id="qI25LKhSNg02"
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You can run either this notebook locally (if you ha... | tutorials/asr/Intro_to_Transducers.ipynb |
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# + [markdown] button=false new_sheet=false run_cont... | IBM_DataScience/8_MachineLearning/labs/FinalAssignmentSolution.ipynb |
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# # Baysean Methods for the Physical Sciences
# ## Exa... | Learning/BMPS_Example_6_3_1.ipynb |
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# # Time Methods
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... | Machine Learning & Data Science Masterclass - JP/03-Pandas/08-Time-Methods.ipynb |
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# # Programming_Assingment16
# ### Question1.
# ... | Programming_Assingment16.ipynb |
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# # Supplemental Data Cleaning: Using Stemming
# ### ... | nlp/Ex_Files_NLP_Python_ML_EssT/Exercise Files/Ch02/02_02/Start/02_02.ipynb |
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# # neural network（神经网络）
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