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# Dependencies and Setup
# %matplotlib inline
impo... | AV_pymaceuticals_starter.ipynb |
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# # Obtaining information about your `backend`
#
# ###... | tutorials/circuits_advanced/08_gathering_system_information.ipynb |
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direct= "/Users/djamillakhdar-hamina/Desktop/"
def e... | Scopus/Untitled.ipynb |
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# <script async src="https://www.googletagmanager.com/... | Tutorial-UnitTesting.ipynb |
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# + [markdown] colab_type="text" id="a42nCSrUsB9Z"
# #... | exercises/robot/reflected_inertia.ipynb |
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# + [markdown] id="I08sFJYCxR0Z"
# ![JohnS... | jupyter/enterprise/healthcare/4.Clinical_DeIdentification.ipynb |
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import pandas as pd
import trackpal as tp
# # Simple ... | examples/01_track_features.ipynb |
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import torch
import torchvision
from ipynb... | Neural Networks/U-NET (Image Segmentation)/utils.ipynb |
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import numpy as np
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# import libraries needed
import numpy as np
import pa... | pokemon.ipynb |
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# + pycharm={"name": "#%%\n"}
# + pycharm={"name": "... | .ipynb_checkpoints/run-checkpoint.ipynb |
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# # PRML Chapter 1
# please fol... | Chapter 1/Chapter 1.ipynb |
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# # TodoMvc Testers Toolbox- Part 1
# ## Automation Enabl... | ruby/notebooks/TodoMvc-ToolBox-part1.ipynb |
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# # Overview
# Basically, th... | NumeraiArticle.ipynb |
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# # Natural Gas Fuel Cell Flowsheet Example
# # 1. In... | jupyter/NGFC/NGFC_example.ipynb |
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# # Insurance All
# ## Business Problem
#
# Insurance... | old_notebooks/pa004_andre_rossi-cycle02.ipynb |
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# ### Simple ModelGrid Demo
#
# This demo shows how th... | examples/Notebooks/flopy3_demo_of_modelgrid_classes.ipynb |
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import sympy as sym
import numpy as np
import mat... | FourierDTFT.ipynb |
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# hash: aee8b7b246df8f9039afb4144a1f6fd8d2ca17a1... | notebooks/lecture_3/DTE-LECTURE-3-BOOTSTRAP.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # 1. Ten... | 0_tensor.ipynb |
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# default_exp datasets
# -
# # datasets
#
# This ... | nbs/01_Datasets.ipynb |
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import squidpy as sq
import scanpy as sc
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# # YAML component place and route
#
#
# We can define... | notebooks/10_YAML_component.ipynb |
# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agr... | workshop_sections/mnist_series/mnist_tflearn.ipynb |
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from __future__ import absolute_import, division, prin... | examples/Robertson_kinetics.ipynb |
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# ## Preprocessing
# +
# Import our depen... | .ipynb_checkpoints/Starter_Code-checkpoint.ipynb |
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# # 词向量
# ## 词的向量表征
#
# one-hot vector，即每个词被表示是一个实数向量... | 16paddle/word2v/word2vec.ipynb |
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# + [markdown] id="UrjQGgr5nUHC"
# <h1> Imports and In... | archive/Domain_GraphNN_Classification.ipynb |
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# # This notebook provides the functionality to build,... | code/CNN/CNN-model/DL-MIRS-CNN-Lab-Only-Size-Reduction.ipynb |
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# # Count touching neighbors
#
# In this n... | docs/25_neighborhood_relationships_between_cells/05_count_touching_neighbors.ipynb |
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from PIL import Image
import numpy as np
import ma... | Projects/ Image Processing with NumPy and OpenCV.ipynb |
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# ### Computer Science Fundamentals and Programming
#
... | B-Machine-Learning-Interview-Preparation/4. Practice Questions.ipynb |
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import lanfactory
import os
import s... | check_network_performance.ipynb |
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from gs_quant.markets.report import FactorRiskRep... | gs_quant/documentation/03_portfolios/examples/marquee/00_create_factor_risk_report.ipynb |
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# ## Linear Algebra
#
# - Why we need Linear Algebra
#... | Notebooks/Linear_Algebra/linear_algebra.ipynb |
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# # Henry's constant calculations
#
# In this notebook... | docs/examples/initial_henryc.ipynb |
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# ## Split Data (Python)
# Importando as bicliotecas
... | 2 - Split Data.ipynb |
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# Visualizzazione features di dataset iris. Sulla diag... | codici/.ipynb_checkpoints/iris-checkpoint.ipynb |
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# !pip install pmdarima
# !pip install yfinance
imp... | Gold & Silver Price Prediction using Python(ARIMA).ipynb |
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# # Python API
# <!-- BEGIN MODULEGEN -->
# ```{toctr... | docs/widgets.ipynb |
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# # Test libcurve.cpp - Image 2D
# %load_ext autorelo... | notebooks/test_curve_image_2d.ipynb |
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# + [markdown] id="rNdWfPXCjTjY" colab_type="text"
# ##### Copyright 2019 The... | site/en/r2/tutorials/keras/feature_columns.ipynb |
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# # Segment requirements
#
# <font color='red'>**This ... | notebooks/LUVOIR-A/13_Calculate segment requirements.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab... | tutorials/W2D2_LinearSystems/student/W2D2_Tutorial3.ipynb |
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# 如果你的显示器分辨率很高，notebook在屏幕中显示太小，可以打开这段代码，其中的width表... | linear regression/Linear regression 1/Linear regression.ipynb |
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pd.set_option('display... | ML_play_around.ipynb |
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# <a href="https://colab.research.google.com/github/Te... | study_roadmaps/4_image_classification_zoo/Classifier - Vehicle Make and Model type classification - Ensemble of classifiers VS Multi-Label classifier.ipynb |
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squares = [i**2 for i in range(5)]
print(squares)
# +... | notebook/list_comprehension.ipynb |
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# # Analysis of contigs mapped to viral CDDs
#
# We u... | post_analysis/jupyter_notebook/CDD_analysis.ipynb |
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# + [markdown] colab_type="text" id="CjWvnaQUrZmD"
# #... | CNN_MODELS/SER_final.ipynb |
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import pandas as pd
import numpy as np
from fbprophet ... | corona virus worldwide with propher.ipynb |
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# # 04-Spam-Classifier
# It's time to mak... | Lab 5/Spam-Classifier.ipynb |
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# https://www.hackerrank.com/challenges/python-lists/p... | 02 - Basic Data Types/05 - Lists.ipynb |
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# Use [regex101](https://regex101.com) !!
# a few wor... | Part 01 - Regex/getting-started.ipynb |
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# # This notebook is intended to plot maps of O2 and C... | notebooks/raw_notebooks/so_o2_co2_flux_ratios.ipynb |
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from ... | 02 TensorFlow/tutorial/19 Gradient Clipping aviod Gradient Exploding.ipynb |
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# + [markdown] iooxa={"id": {"block": "YGrB5GrCk19U... | notebooks/02-Simple-Charts.ipynb |
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import tensorflow as tf
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# ### How to Handle an unbalanced Dataset
# ###### 1.U... | Pandas - Crash Course/JP Nan/PythonL10.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + [markdown] id="RsV70a0f7nPH"
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# # 1. Importing data from the Internet
# **The web is... | Data Analyst with Python/10_Intermediate_Importing_Data_in_Python/10_1_Importing data from the Internet.ipynb |
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# # Finding Pattern
import numpy as np
# ## Given th... | numpy-data-science-essential-training/Ex_Files_NumPy_Data_EssT/Exercise Files/Ch 6/06_04/Finish/.ipynb_checkpoints/Finding Pattern-checkpoint.ipynb |
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# # Introduction to machine learning
#
# *<NAME>*
#
# ... | intro_ML/2-SVM_student.ipynb |
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import sklearn.datasets as datasets
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import torch.nn as nn
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from taxcrunch import multi_cruncher as mc
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# !nvidia-smi
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# # CH. 7 - TOPIC MODELS
# ## Activities
# #### Activ... | Activity01-Activity03/Activity01-Activity03.ipynb |
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# + [markdown] id="a6391a8d"
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab... | tutorials/W2D2_LinearSystems/W2D2_Tutorial1.ipynb |
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import pandas as pd
from splinter import Browser
impor... | Missions_to-Mars/mission_to_mars.ipynb |
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# Importing the libraries
import numpy as np
import co... | Motion_Planning_RigidRobot_Astar.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
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// # Tour of the EvCxR Jupyter Kernel
// For those... | tests/notebooks/ipynb_rust/evcxr_jupyter_tour.ipynb |
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# + [markdown] _cell_guid="39bd55c8-59de-4990-8ea7-87b... | stochastic-study/2.cryptocurrency-stack-prediction.ipynb |
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# coding: utf-8
# In[ ... | convertFunc/Convert_H52PB_ok.ipynb |
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#importing libraries
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# # Lane Boundary Segmentation
# ## Setti... | code/exercises/lane_detection/lane_segmentation.ipynb |
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# # Inductive Causation Algorithm
#
# The inductive ca... | Causality - Inductive Causation.ipynb |
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# #%cd -q ..
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# <h2 align="center">Automatic Machine Learning with H... | h2o-automl.ipynb |
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# # Process DATE Drug-Gene relations Data
#
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# + [markdown] id="a2WR-N-qWBll" colab_type="text"
# # Introduction
# + [mar... | naive_bayes_dataset_2.ipynb |
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# # Astron... | Lectures/HypothesisTesting.ipynb |
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# Python ≥3.5 is required
import sys
# Scikit-Lea... | complex_models_functional_api/multiple_inputs_outputs.ipynb |