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warnings.filterwarnings("ignore")
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# # Getting Started with Pilot-Streaming on Stampede
#... | examples/Pilot-Streaming-GettingStarted-Stampede2.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Chapter3_2DimensionalTensors.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | zenatix_project.ipynb |
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import data_loader
import numpy as np
import panda... | stats.ipynb |
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# # TensorTrade - Renderers and Plotly Visualization C... | examples/renderers_and_plotly_chart.ipynb |
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from bs4 import BeautifulSoup
import re
import numpy a... | entity-tagging/5.residual-char-ngrams.ipynb |
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# DataFrame的创建和访问
import pandas as pd
import numpy... | python/jupyternotebook/learning20208/.ipynb_checkpoints/pra825-checkpoint.ipynb |
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from ahh import pre
fi = pre.wget_fi('ftp://ftp.cdc.n... | examples/pre/wget_fi_AND_gen_fi_list_AND_wget_list.ipynb |
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# ##### Created by <NAME>
# ##### Last Updated 4/10/20... | TimeSeries_Finance/TimeSeries_Exploration.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # T... | lessons/M3L01_theory_and_landscape.ipynb |
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# # How... | Tutorials/COSIMA_CookBook_Tutorial.ipynb |
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# # Wrangling GBI Alignments into Workflow
#
# GBI has... | workflow/notebooks/old_pipeline/gbi/GBI_alignment_wrangling.ipynb |
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import pandas as pd
import numpy as np
from pandas_datareader ... | algo-trading/sample-ml.ipynb |
# -*- coding: utf-8 -*-
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# # Solving Stiff Equation... | notebook/advanced/02-advanced_ODE_solving.ipynb |
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# # Counterfactual with Reinforcement Learning (CFRL) ... | examples/cfrl_mnist.ipynb |
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// + nbgrader={"grade": false, "gra... | source/Test-1/Hello World.ipynb |
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# # Create a NumPy ndarray Object
# + active=""
# Num... | 2. NumPy Creating Arrays.ipynb |
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# ## Data Augmentation Part 1: Downsampli... | 01_Exploration and Preprocessing/3. Downsampling of the majority classes.ipynb |
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# # Import Modules
import warnings
warnings.filterwar... | MTCNN/.ipynb_checkpoints/Face_Extractor_BB_Landmarks_Test-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | anita_sharma_Copy_of_LS_DS_213_assignment.ipynb |
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# + [markdown] id="Okfr_uhwhS1X" colab_type="text"
# # Lambda School Data Sci... | module4-databackedassertions/LS_DS_114_Making_Data_backed_Assertions.ipynb |
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# General outline:
# I want to take in an array (later... | WWF_Project_2.ipynb |
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# # World Marriage Network
# This network consists of... | notebooks/5. World Marriage Network.ipynb |
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# <a href="https://colab... | Control_and_Loop_Statement.ipynb |
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# <a href="https://colab... | GUI.ipynb |
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# # NanoEvents tutorial
#
# This is a rendered copy of... | binder/nanoevents.ipynb |
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import cv2
img = cv2.imread('./examples/image01.... | Learning Process.ipynb |
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# <a href="https://colab... | notebooks/NLP_Pipeline_Demo.ipynb |
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# # Curve ... | CurveFitting.ipynb |
# -*- coding: utf-8 -*-
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using DataFrames
usin... | notebooks/May22.ipynb |
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#... | module1-join-and-reshape-data/LS_DS_121_Join_and_Reshape_Data.ipynb |
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import pandas as pd
imp... | Data Wrangling.ipynb |
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# This is a literate code document for... | notebooks/ML_experimentation.ipynb |
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# <a href="https://colab.research.google.com/github/Te... | application_model_zoo/Example - BDD100K dataset with TensorRT optimization.ipynb |
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# + [markdown] id="BcM0TCZ4ZIzP"
# # Installing required packages
# Needed fo... | 2_libsvm_example.ipynb |
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import numpy as np
from tensorflow.keras.models im... | artificial-intelligence-with-python-ja-master/Chapter 16/cnn_keras.ipynb |
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# + [markdown] colab={} colab_type="code" id="n3lnWjvI... | 03-spam.ipynb |
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# # Concatenating, Merging and Joining
#
# In this le... | Section 4/05 Concatenating, Merging and Joining.ipynb |
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import mahotas as mh
import numpy as np
from matpl... | workspace_yena/mahotas.ipynb |
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# # Test the bnk module with a PCB accelerometer
# He... | examples/PCB_Test.ipynb |
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# ### Scalar factor of the Universe
import numpy as n... | integration_cosmo_dynamics/scale_factor_universe.ipynb |
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# ## SQL - Major SQL commands
# ### BIOINF 575 - Fall ... | completed_notebooks/SQL_commands_continued_MoWe.ipynb |
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# <h1>Data Exploration</h1>
# <p>In this notebook we w... | DataSets/Hitters/Exploration.ipynb |
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# hash: 50046ff9dcf6bc9c7f602b83e29ed80... | src/helm_dhm/features/feature_descriptions.ipynb |
# ##### Copyright 2021 Google LLC.
# 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 agreed to in writ... | examples/notebook/contrib/dudeney.ipynb |
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# <a id='logbook'></a>
# # Logbook
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# # %load ../i... | research_jupyter_templates/logbook.ipynb |
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# ## Similar Papers
# +
# %load_ext autoreload
# %autoreload... | similar-papers.ipynb |
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# ## This python notebook has examples of the Set-Cove... | GOSTNets/Notebooks/.ipynb_checkpoints/optimization_set_coverage_problem_importing_OD_csv-checkpoint.ipynb |
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# # Exploratory Data Analysis
# https://towardsdatasc... | eda/eda.ipynb |
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# # This is an example of pseudo-vectorization using lapply function on ... | notebooks/R-Notebook.ipynb |
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# + [markdown] id="VwK5-9FIB-lu"
# # Natural Language ... | nlp/bag-of-words/my_natural_language_processing_kernel_svm.ipynb |
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# # Background
# Variant calling is the process used f... | notebooks/Variant Filtering of a BCFTools VCF.ipynb |
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import numpy as np
import matplotlib.py... | lectures/archive/Lecture-scikit-learn-ml-framework-archive.ipynb |
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import numpy as np
a = np.array([1, 2, 3])
b = np.arr... | module_3/Module_suppl_notebooks/math1_seminar_practice.ipynb |
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class DoublyLinkedListNode():
def __init__(self, v... | 82. Doubly Linked List Implementation.ipynb |
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# # Practice notebook for regression analysis with NHA... | Fitting_Statistical_Models_to_Data_with_Python/week2/week2_nhanes_practice.ipynb |
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# + [markdown] hide_input=false
# # igv variant classi... | nbs/dl1/igvReader_20190822.ipynb |
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# 화면 ... | w1/w1-02 Python basics.ipynb |
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# ## A Gentle Introduction to use Auto Encoder... | Anomaly Detection/Predicve Maintenance - Auto Encoder.ipynb |
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import pandas as pd
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fro... | diabetesProject/DiabetesProjectTensorflowFinal.ipynb |
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# # Exercise 2
# Add the specified code for each code ... | exercise-2/exercise.ipynb |
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# # 7. Pandas objects
import numpy as np
import panda... | 07-DA_Pandas_structures.ipynb |
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... | calculator.ipynb |
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# %matplotlib inline
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import pandas... | Classifier/classifier.ipynb |
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# + [markdown] id="SUXreZxtQZy8" colab_type="text"
# # Linear Regression - Fi... | GL_AIML_Session_Linear_Regression_13_07_2019.ipynb |
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# ## Configuration
# _Initial steps to get... | places/placer.ipynb |
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# # Number of Messages Sent Factorial Analysis (High D... | analysis/HighDensity/messages.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | GUI_application.ipynb |
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# # Ji et al. 2015 Processing
#
# I'm going to investi... | notebooks/Ji et al. 2015 Processing.ipynb |
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# # Prediction using normal score for wall street colu... | presentations/2016-03-02(Prediction using normal score wall street columns same data clusters).ipynb |
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# # Quantum Chemistry I: Obtaining the Qubit Hamiltoni... | notebooks/summer-school/2020/lec-07.ipynb |
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# # What is Pytorch?
# A replacement of Numpy to use ... | Pytorch Work/Pytorch Tutorials.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | create_onnx_model.ipynb |
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# + [markdown] papermill={"duration": 0.020595, "end_t... | Feature-Tokenizer-Transformer.ipynb |
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using GenericLinearAlgebra
using LinearAlgebra
usi... | Solvers/Remez.ipynb |
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# Execute this code block to install dependencies when... | 08_autoencoders/8_3_VAE.ipynb |
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# # Evaluating classifiers
#
# ### Concepts
# - Accura... | 03_Evaluating Classifiers.ipynb |
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# # Description:
#
# * Demultiplexing libraries from M... | 16S_sequence_processing/2_demultiplex.ipynb |
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# <a href="https://colab... | Random_Forest.ipynb |
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# # Accessing satellite data from AWS
# This example ... | examples/aws_request.ipynb |
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import os
import numpy as np
import torch
import ... | notebook/.ipynb_checkpoints/kanerva_machine_pyro-checkpoint.ipynb |
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# # Homework: Basic Artificial Neural Networks
# The ... | homework01/homework_main-basic.ipynb |
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# Objective:
# • Employ SVM from scikit learn for bina... | Cls6-Supervised Learning - II/SupervisedLearning-II-Casestudy-3-solution.ipynb |
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# # Structuring code
#
# Python statements (code in ge... | 04-structuring_code.ipynb |
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# # Bayes Theorem
# Bayes Theorem is still a kind of ... | Chapter 2/Chap2_Bayes_Theorem.ipynb |
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# # Functions for Preprocessing Data
# Load Modules
... | Processing Data.ipynb |
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# + cellView="form" id="ur8xi4C7S06n"
# @title Copyright & License (click to ... | notebooks/community/model_monitoring/model_monitoring_feature_attribs.ipynb |
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# + [markdown] id="-6_dbDdTee8-" colab_type="text"
# In this challenge we'll ... | Week 06 Modeling/Code Challenges/Day 2 Linear Regression Normal Equation.ipynb |
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# # Jupyter Notebook and NumPy introduction
#
# Jupyte... | release/1/notebook_intro.ipynb |
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# # Pull Request Analysis
# +
import psycopg2
import ... | code/percentage-affiliation.ipynb |
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# name: python361064bitrdkitconda2231f7cd076... | notebooks/B1-exploration.ipynb |
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# ## Regularized Regression 應用
#
# 我們透過Scikit Learn來完成Ridge... | Regularization/regularized_regression.ipynb |
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# # Video tutorial
# [How to write a Crypto Exchange A... | exgapi/kucoin/kucoin-exchange-api-private-authentication.ipynb |
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# + id="8asMiXnG7n0V"
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# # First Steps in Python
# ### Prepared for ... | first_steps.ipynb |