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sys.path.ins... | analyses/Untitled.ipynb |
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import numpy as np
import tensorflow as tf
import matp... | generator/6.gru-seq2seq-greedy-char.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | lesson3.ipynb |
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# # Add a suffix or a prefix to bands
import ee
ee.In... | notebooks/image/addSuffix_addPrefix.ipynb |
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import xarray as xr
import pandas as pd
fr... | demo_irreg_grid.ipynb |
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from __future__ import division
import pickle
imp... | nb/model_explorations.ipynb |
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# ## Topic Modeling
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import pandas as pd
import nl... | .ipynb_checkpoints/Topic Modeling [LDA, LSA, PLSA]-checkpoint.ipynb |
# <!--
# title: Intro to Python Lists
# type: lesson
# duration: "00:30"
# creator: <NAME>
# Private gist location: https://gist.github.com/brandiw/621c35f1987e5ab680e7de7b05dfe039
# Presentation URL: https://presentations.generalassemb.ly/621c35f1987e5ab680e7de7b05dfe039#/
# -->
#
# ## ![](https://s3.amazonaws.com/pyt... | unit-2-control-flow/instructor-resources/05-lists/pyth621-day1-lists.ipynb |
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# # ME 595r - Autonomous Sytems
# # Extended Kalman Fi... | hw7-fastSLAM/.ipynb_checkpoints/fastSLAM ground robot-checkpoint.ipynb |
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# ## Introduction to Python using Gapminder... | Day1.ipynb |
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# + colab={} colab_type="code" id="zwty8Z6mAkdV"
from ... | BBC-news-data/STAGE 2 - Char-Level Prediction + Universal Sentence Encoder.ipynb |
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#'''
#Lower-level interface demo that illustrates ... | notebooks/MR/Old_notebooks/Gadgetron/fully_sampled_recon_single_chain_short.ipynb |
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# # Kubeflow Pipeline V1 MNIST Example
im... | notebooks/v1/kubeflow-pipeline-v1-mnist.ipynb |
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#วิดีโอสอน pandas Boxplot subplots
from IPython.displa... | learn_jupyter/10_pandas_viz_boxplot_subplots.ipynb |
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# # Multi direccione OSRM - JSON
#
# Este archivo tien... | OSRM Python/OSRM - Json - multilple location.ipynb |
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import os
import sys
module_path = os.path.abspath(os.... | src/jupyter/VQVAE_show.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | cloudseg/notebooks/colab_training.ipynb |
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import pandas as pd, numpy as np, string, re, pytz
imp... | lastfm/lastfm_analysis.ipynb |
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# http://ankivil.com/kaggle-first-steps-with-julia-cha... | Guid Code.ipynb |
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# # MIT-BIH Supraventricular Arrhythmia Database (_sv... | notebooks/data-prep/MIT-BIH Supraventricular Arrhythmia DB.ipynb |
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# # Taller evaluable sobre la extracción, tran... | Taller.ipynb |
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# # Ask Question
# Can we predict the maximum tempera... | directorio de trabajo/Jorge/no puedo creer que esto funcione/.ipynb_checkpoints/arbol_semana-checkpoint.ipynb |
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# <h1 align="center">Segmentation: Thresholding and Edge Detection</h1>
... | R/33_Segmentation_Thresholding_Edge_Detection.ipynb |
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# # Functions and Methods Homework
#
# Complete the f... | 05-Functions and Methods Homework.ipynb |
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import numpy as np
import scipy as sp
import open... | notebooks/histomicstk_py27.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | module3-introduction-to-bayesian-inference/LS_DS_133_Introduction_to_Bayesian_Inference.ipynb |
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from sklearn.cluster import... | week10_ML_competition_pca_kmeans/day3_unsupervised_PCA_kmeans/unsupervised_learning/kmeans/kmeans.ipynb |
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# <a href="https://colab... | Practical_Exam_lab_1.ipynb |
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# # International Space Station Tracking with Redis Qu... | international_space_station_tracking/ISS_Tracking.ipynb |
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# # 作業 : (Kaggle)鐵達尼生存預測
# https://www.kaggle.com/c/ti... | HomeWork/Day_024_HW.ipynb |
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import requests
import pandas as pd
import json
im... | csy_folder/kakao.ipynb |
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# # OPEN-AI Taxi-V3
# ... | lab-taxi/Optimization_Taxi_V3.ipynb |
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# ### Brain-hacking 101
#
# Author: [**<NAME>**](http:... | beginner-python/001-arrays.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | course3/C3_W2_Lab_3_Quantization_and_Pruning.ipynb |
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# # Dimentionality Reduction No. 1
# Import the requi... | Dimentionality_Reduction1.ipynb |
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using EPhys, PyPlot
bsnms = ["mam5-160307";
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# + id="lCGQ3cZTl5yr" colab={"base_uri": "https://localhost:8080/"} execution... | 1. Bi-LSTM/ThreeX_1D_doubleip_3X.ipynb |
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# # Seminar 10. Clustering Hands-on practice
#
# ## Si... | seminars/sem10/sem10.ipynb |
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import numpy as np
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# Neuromorphic engineering I
# ## Lab 1: Automated Data Acquisit... | neuromorphic_engineering_one/session1_automated_data_acquisition_and_analysis/2021_Lab1_DataAq_4.5_Jan_Hohenheim.ipynb |
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# <img src="../../files/refinitiv.png" width="2... | Examples/5-Eikon Data API/EX-5.03.01 - Eikon Data API - News.ipynb |
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# Copyright 2021 NVIDIA Corporation. A... | docs/source/examples/scaling-criteo/01-Download-Convert.ipynb |
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# This notebook demonstrates how to use Quest to downl... | reviews/Panel/WMTS_Example.ipynb |
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# <div style="color:#303030;font-family:'arial blACK... | B.Graphical_User_Interface/B003 Interchanging Structured Data.ipynb |
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test_file = open("test.txt", 'a+')
for i in range(5)... | Test file .ipynb |
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# ### Implementing CDFs
#
# Copyright 2019 <NAME>
#
# ... | empiricaldist/cdf.ipynb |
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# ## Fashion-MNIST 데이터셋 다운로드
# +
from tensorflow.keras.dataset... | code/ch4/Fashion-MNIST.ipynb |
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# # 基本程序设计
# - 一切代码输入，请使用英文输入法
print('hello word')
p... | 7.16.ipynb |
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#
# <div>
# <br>
# <center><strong><h1>High... | 0.0.0 Preamble.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | ptt_etl_201910.ipynb |
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# coding: utf-8
import csv
from os import stat
fro... | Challenge 1 (1).ipynb |
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# ### Detección de anomalías - PCA
import numpy as np... | TimeToFailurePrediction/AnomalyDetectionPCA/AnomalyDetectionPCAs_Ch1_test2.ipynb |
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# + [markdown] id="fUQpl1jDZESL"
# # This notebook was modified & updated fro... | _notebooks/2021-10-03-My-First-Post-By-Colab.ipynb |
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# # Visualizing 2D data
# Colormaps are used to map q... | 2D.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | RandomForest.ipynb |
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# %matplotlib inline
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i... | notebooks-spanish/21-reduccion_dimensionalidad_no_lineal.ipynb |
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# ## Pytorch to ONNX conversion
#
# This notebook show... | onnx_conversion_scripts/pytorch.ipynb |
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-- # Chapter 26: Monad transformers
:!st... | src/haskell-programming-from-first-principles/26-1-monad-transformers.ipynb |
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# # TRIE | PREFIX TR... | 1-introduction-components/merkle-patricia-trie.ipynb |
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# %matplotlib inline
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import numpy as np... | examples/Example of Diffusion of Scientific Credit.ipynb |
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# # Introduction to Futures Contracts
# by <NAME> and ... | quantopian/lectures/Introduction_to_Futures/notebook.ipynb |
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# https://www.kaggle.com/bryanb/fifa-player-s... | fifa/fifa-all.ipynb |
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# The XML standar... | APIs and Other Data Types/.ipynb_checkpoints/XML -checkpoint.ipynb |
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# ## Introduction
#
# This notebook will go over a ne... | examples/mr_uplift_new_optimized_loss.ipynb |
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# # Introduction
#
# This problem is a old competitio... | sentiment-analysis-rotten-tomatoes.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | notebooks/embed_neighbors_jaccard_lme.ipynb |
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import requests, re, webbrowser
from bs4 import Beauti... | Parse/BeautifulSoup 4/BeautifulSoup_Links-Extraction.ipynb |
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import warnings
war... | docs/sphinx/tutorials/notebooks/Marvin_Results.ipynb |
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# + [markdown] id="LeamvpPVXuS_"
# # Random Forest Regression
# + [markdown]... | Regression/Section 9 - Random Forest Regression/Python/random_forest_regression.ipynb |
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import sys
import cobra
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# ## Example for FloPy methods note
# Import the `mod... | examples/groundwater_paper/Notebooks/example_1.ipynb |
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# # Adding a New Forecasting Model
#
# This notebook p... | examples/forecast/3_ForecastNewModel.ipynb |
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# # Py(phar)mac... | pymaceuticals.ipynb |
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# # Inverse dynamics (2D) for gait analysis
#
# > <NA... | notebooks/GaitAnalysis2D.ipynb |
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# # Practice Assignment: Understanding Distributions T... | drafts/Week 3/UnderstandingDistributionsThroughSampling.ipynb |
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# # GATE Neural Network with Linear Two Neurons
impor... | 1.DeepLearning/01.Multiple_Neurons/linear_two_neurons.ipynb |
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# %pylab inline
import radvel
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impor... | docs/tutorials/SyntheticData.ipynb |
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# Using edited code from [<NAME>](https://medium.com/@... | get_coordinates.ipynb |
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# # Avoiding Overfitting Through Regularization
#
# De... | 02.TensorFlow/TF1.x/TensorFlow_09_Avoiding_Overfitting_by_Regularizations.ipynb |
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# ## __INTRODUCTION__
#
# ### __ARTIFICIAL NEURAL NE... | MachineLearning_code_examples/DeepLearning/.ipynb_checkpoints/TF_basics-checkpoint.ipynb |
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# <h1>Table of Contents<span class="tocSkip"></span></... | nbs/exec.dataset_statistics.ipynb |
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# ## Uncertainity in De... | Pytorch+Uncertainity.ipynb |
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# %matplotlib inline
#
# # Pgf Texsystem
#
#
# +
imp... | matplotlib/gallery_jupyter/userdemo/pgf_texsystem.ipynb |
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# ### summary
# - function
# - docstring : 함수 밑에 싱... | python/python_basic/07_class2_2.ipynb |
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# + [markdown] slideshow={"slide_type": "-"}
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# + [markdown] id="7765UFHoyGx6"
# ##### Copyright 2019 The TensorFlow Author... | site/ja/tutorials/estimator/boosted_trees.ipynb |
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# # Respo... | code/response_function_moving_avg.ipynb |
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# # Math
#
# Inline maths with inline role: $ x^3+\frac... | tests/ipynb/math.ipynb |
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import cupy as cp
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# ## Google maps distances
# Get an API key from Googl... | resolver/google_maps_distances.ipynb |