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# # Multi-Resolution Modeling
#
# This tutorial shows ... | Extract/multiresolution.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | HyperParameters.ipynb |
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# + [markdown] colab_type="text" id="qfja9tMaB1ZH"
# #### Copyright 2018 Goog... | ml/pc/exercises/image_classification_part1.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | tutorial/.ipynb_checkpoints/Lorenz_inverse_forced_Colab-checkpoint.ipynb |
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# # Defender OLS analysis
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# %matplotlib inline
# ... | 4_Defender OLS analysis.ipynb |
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# # Transfer Learning with Resnet
# In th... | 6_TransferLearning_ResNet.ipynb |
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# ##1. Import the necessary packages to read in the da... | 06 Logistic Regression/donow/radhika_pc_Class6_DoNow.ipynb |
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# # CNTK 201A Part A: CIFAR-10 Data Loader
#
# This tu... | bindings/python/tutorials/CNTK_201A_CIFAR-10_DataLoader.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Lab1.ipynb |
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# # Double peak area
# read the csv file of double pea... | remote_sensing/python/Local_Jupyter_NoteBooks/02_double peak area.ipynb |
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# # Processing Steps and Discussion
# As part of this ... | workflow/Geologic Map Unit Context.ipynb |
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# <a href="https://colab... | PLANET.ipynb |
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from ipycanvas import Canvas
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def dis... | cn/.ipynb_checkpoints/sicp-2-44-display-checkpoint.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as plt
i... | Chapter 3 Exercise 08.ipynb |
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# # Linear Regression Example
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#imports
import num... | 1 linear_regression .ipynb |
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import os
from time import sleep
from tkinter impo... | color.ipynb |
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import pandas as pd
import numpy as np
# ... | notes/week07/lab/Task1.ipynb |
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# ***Summary: This notebook provides an ov... | tests/data/eda/01_lxcat_n2_fict.ipynb |
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# **This notebook is an exercise in the [Ge... | _notebooks/2022-05-28-exercise(5)-proximity-analysis.ipynb |
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# name: python3812jvsc74a57bd0585e9a502... | wandb/run-20211025_110311-26omcam2/tmp/code/00.ipynb |
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import tkinter as tk
import random
root = tk.... | UE2/08_layout.ipynb |
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# # Table of Contents
#
#
# * **Getting Started**: imp... | examples/regression-insurance/2-Basic Modeling.ipynb |
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# # Tableau Server Client
#
# TSC is library that pro... | ETL & Programmatic Solutions/Tableau Server API.ipynb |
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# ## Seaborn
#
# whenever you get a dataset
# you will... | Python Basics/seaborn.ipynb |
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# %ma... | basic_ml/notebooks/sklearn/pca_and_lr_gridsearch.ipynb |
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# + id="bzOQPCl06PvI" colab={"base_uri": "https://loca... | [Part 2]Multiple_Plates_character_segmentation_with_OpenCV.ipynb |
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# Before you turn this problem in, make sure everythin... | CS110 PCW 6- maximum-subarray problem1.ipynb |
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# <img align="left" src="imgs/fonduer-logo.png" width=... | intro/Intro_Data_Model.ipynb |
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# # Demo - We will use AI to help a simulated global r... | AI for Supply Chains.ipynb |
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import tensorflow as tf
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# # Robustness Checking
# This tutorial walks t... | tutorials/dacy-robustness.ipynb |
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# # Introduction to Graph Matching
import numpy as np... | docs/tutorials/matching/faq.ipynb |
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# # 1D Wasserstein barycenter ... | docs/source/auto_examples/plot_barycenter_1D.ipynb |
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# name: conda-env-miniconda3-python-tuto... | notebooks/figures/fig9_itcz.ipynb |
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# # Python en... | Notebook-Python Environment.ipynb |
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# (Visit the
# [documentation](https://datafold-dev.gi... | Code/ModelSelection/datafold-master/tutorials/03_basic_dmap_scurve.ipynb |
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# # Connect cypher queries
# Load the extension
# %%c... | notebooks/Cypher ipython extension.ipynb |
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import pandas as pd
import numpy as np
from sklearn.tr... | Bike_Ride_Model_Selection.ipynb |
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# # Explorando classificação com histograma... | ML/f04-textura/faixas/07-hist_norm_n_pixels-svm.ipynb |
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# # Instructions
# # MetAltas analysis w... | notebooks/old/Workflow Notebook Metatlas Stable v0.0.1 20200604.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"} ta... | notebooks/07-modularity-pt2.ipynb |
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# ## relation extraction 实践
# > Tutorial作者:余海阳(<EMAIL>... | deepke-master/tutorial-notebooks/LM.ipynb |
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# Remember: comments in python are denoted by the p... | lessons/Mine.ipynb |
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import math
import json
import datetime as time
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c... | CraftFileParserTest.ipynb |
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# !!! testing purpose !!!
# this cell is for testi... | ui.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab... | clasificacion.ipynb |
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# # Residual Networks with PyTorch
#
# Welcome to the ... | Week 2:Deep convolutional models - Case Studies/.ipynb_checkpoints/ResNet-checkpoint.ipynb |
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# # [Grading Students](https://www.hackerrank.com/chal... | HackerRank/Algorithms/Implementation/Implementation.ipynb |
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#1 Python program to find whether a given number (acce... | Aniyom Ebenezer/phase 1/python 1 basis/Day4_Challenge_solution_submission.ipynb |
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# %matplotlib inline
#
# PyTorch: nn
# -----------
#
... | docs/_downloads/988d3733a780db0912efb0d6f34d0ec7/two_layer_net_nn.ipynb |
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# # 2017-08-18 Building the Data Download Function
# ... | delong_functions/2017-08-18 Building the Data Download Function.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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#... | ai-edge/notebooks/captum_titanic (on Raspberry Pi).ipynb |
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from keras.datasets import mnist
from matp... | src/prototype_selection.ipynb |
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# # Probabilidad II
#
# <NAME>. Arboles de Decision. C... | 7Estadistica/.ipynb_checkpoints/4_ProbabilidadII-checkpoint.ipynb |
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# # Qiskit Aer: Device backend noise model simulations... | tutorials/aer/2_device_noise_simulation.ipynb |
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from pandas.plotting import sc... | Sinkhole_Kaggle_Comp/Nueral_Net_sub.ipynb |
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# Lets prepare our notebook by importing the necessary... | 5-python-dataviz-notebook/jupyter/3-matplotlib_saving_multiple_plot_figure.ipynb |
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# # Exploring netCDF Datasets from ERDDAP Servers
#
# ... | analysis_tools/Exploring netCDF Datasets from ERDDAP.ipynb |
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# ! ls ~/Junk
# ! cat /home/jupyter-kagone/Junk/save_... | sphinx-hell/doc3/pkg/api-generate.ipynb |
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import pandas as p... | Part 2 KNN MERTCAN BUDAK.ipynb |
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# %pylab inline
import sk_dsp_comm.sigsys as ss
import... | docs/source/nb_examples/Continuous-Time Signals and Systems using sigsys.ipynb |
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# ## variance, standard deviation
# $$\text{표준 편차} = \... | Past/DSS/Math/180210_2_variance.ipynb |
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from dotblotr.image import quantify_blot_array
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# ## PIPLINE.3 - Topic Model
# Here is the pipline for... | TopicModel/ETM_simple_version.ipynb |
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# # LeNet 5
#
# En este Notebook se va a... | 2-Lenet-5.ipynb |
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import pandas as pds
import numpy as np
import sea... | Adaboost_master_DCV.ipynb |
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# **0. ВЗГЛЯНЕМ НА ДАННЫЕ**
import numpy as np
import... | Main_code.ipynb |
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# # Selective Three-Ply
#
# "To save computer time, th... | TD-Gammon016-SelectiveThreePly.ipynb |
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# + id="0m2JWFliFfKT" colab_type="code" colab={}
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# # Formas de classificação de dados
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import numpy as np
import matplotlib.pyplot as plt
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# Exercise 1-1.
# Write a well-structured English ... | ipython_notebooks/schiefjm/Python Practice/Think Python/Chapter 1. The Way of the Program.ipynb |
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# Modelos Asociativos y Aprendizaje Hebbiano
# ===
#
#... | 04-ModelosAsociativos.ipynb |
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# <!--... | tests/nb_export_builds/nb_water_export/05.00-Best_AIC_Fitting.ipynb |
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# # Get Item Recomm... | basti/get_rec_item.ipynb |
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# # Assignment 1
# <NAME>
# s3455453
# ### Quest... | credit-screening.ipynb |
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# # Statistikavsnitt MaA10
# #### Innehåll
#
# 1. [Pr... | Intro/Exempel-och-ovningar/MaA Statistik/Statistik i Python.ipynb |
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file = pd.read_csv('TextAnalysis/... | DataAnalysisApplications/TaskTextAnalysis.ipynb |
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from pandas imp... | school data pandas work.ipynb |
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# # Linear dimension reduction and feature... | machine_learning/decomposition.ipynb |
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# # Sirius B Blob Cha... | notebooks/epoch_2020feb04/photometry.ipynb |
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import matplotl... | learning_DAN/base_HA_JL.ipynb |
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# # Inference for numerical data
# # North Car... | open-intro-statistics/python-labs/Inference for numerical data.ipynb |
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# # PPL
#
# # Exploratory Data Analysis - Rewards
#
#... | notebooks/1.3_eda_rewards.ipynb |
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# # StructN2V - 2D Example for Synthetic M... | examples/2D/structN2V_2D_synth_mem/train_and_predict.ipynb |
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import pandas as pd
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# # Titanic
# > My first kaggle competition
#
# **The... | _notebooks/2020_05_05_Kaggle_Titanic_competition.ipynb |
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im... | notebooks/.ipynb_checkpoints/Comp_Scatt_NeuralNetwork_Classification_All energies together-checkpoint.ipynb |