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# # Capacity of a Communication Channel
# by <NAME>, <... | examples/notebooks/WWW/Channel_capacity_BV4.57.ipynb |
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data = 'o2l2_mv_scl_air_black'
# %run train_noiseimg.p... | traintest.ipynb |
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# # Import Packages
#importing some useful packages
i... | notebooks/ImagePipeline.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/bc_disjointset_weigthed_union.ipynb |
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# <div style="background-color: #EFDDFF; padding: 10px... | lessons/PCA.ipynb |
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# + [markdown] id="OZqAbs5Z_MTL"
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# Imports
from hfm import HFM2D
import scipy.io
im... | ucsd_tf2compat/run_stenosis2d.ipynb |
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# Boundary Value Problem
# ======================
# +... | examples/pinn/singular-boundary-problem.ipynb |
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# ## Reproduce Published MERFISH results with Starfis... | notebooks/MERFISH.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | humpday/discrete_objectives/objective_scratch.ipynb |
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# + [markdown] id="naMQPO5iRpNE" colab_type="text"
# #### Copyright 2018 Goog... | ml/cc/exercises/intro_to_fairness.ipynb |
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# ## elif statement
# Must b... | Python_Basics/Intro/.ipynb_checkpoints/Python3Basics_Video5_Blog_Note-checkpoint.ipynb |
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# ## Import the package into jupyter notebook
import ... | cnn.ipynb |
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import numpy as np
import pandas as pd
from scipy ... | Ch 06. Probability.ipynb |
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from biothings_explorer.user_query_dispatcher import F... | jupyter notebooks/Manipulate Graph Object from FindConnection Query.ipynb |
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# + id="eUAv0Mzo0Lcm" colab={"base_uri": "https://localhost:8080/"} outputId=... | notebooks/text-autoencoders_aae_train.ipynb |
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# <h1><center>Python 2
... | felis_python2/lectures/07_OpenCV.ipynb |
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# + colab={} colab_type="code" id="19W9IsA... | learn_rs_gis/Cloud_Optimized_Geotiffs.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # E... | src/exploring_s&p_500/exploring_sp500_stocks.ipynb |
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import sys
sys.path.append('..')
import torch
i... | results/08_syn1_baseline_remove_ego.ipynb |
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# # <NAME>
# + jupyter={"source_hidden": true}
import... | EDA 1.0.ipynb |
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# Requests for handling HTTP get and other requests
im... | WebScraping/Apartments_Scraping.ipynb |
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# ### 여러 json 파일을 순차적으로 읽으면서 json key, value switching... | python/json key value switching.ipynb |
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# # Scraping Yahoo Finance Stock Historical Data
impo... | notebooks/Task6/Task6_dataset2.ipynb |
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# # STIPS Advanced Usa... | notebooks/STIPS Advanced Tutorial.ipynb |
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# # CDF Analysis
#
# This notebook aims to generate a ... | stats/cdf_analysis.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] id="YgcvUr9i_E-F"
#
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# # Pandas
#
# 1. `DataFrames` y `Serie... | 5_Pandas.ipynb |
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# Start witing importing required libraries:
import n... | Pandas/4 Pandas Basics II.ipynb |
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data = pd.read_csv('C:\\Users\\Sa... | sentimental analysis.ipynb |
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# # Practical session 3 - Practice wit... | notebooks/lab3.ipynb |
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# data analysis and wrangling
import pandas as pd
... | notebooks/ParquetCleanBatteryDetails.ipynb |
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# + id="RxhvnJMTD9ZL" outputId="c43edb85-7cc3-4a32-bc4b-152a2309fe29" colab={... | notebooks/How_to_use_app.ipynb |
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# %reload_ext autoreload
# %autoreload 2
# %matplotlib... | tutorials/tutorial-A4-customdata-text_regression_with_extra_regressors.ipynb |
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# + nbsphinx="hidden"
import open3d as o3d
import open... | docs/jupyter/t_pipelines/t_robust_kernel.ipynb |
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# # Get GRFN S1 InSAR data from Earthdata Search (CMR ... | CMR-Sentinel-1-GRFN.ipynb |
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# name: python374jvsc74a57bd0b39ab04170b6c60b52a31d4a7ab4d204539d261a537423dd50ae2a4297d5... | _notebooks/2021-06-10-p2.ipynb |
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# # SAAS <> Media Matters Worldwide Media Mix Model an... | .ipynb_checkpoints/pipeline-checkpoint.ipynb |
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# # Message Passing
#
# In th... | notebooks/2_message_passing.ipynb |
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import numpy as np
from scipy.optimize import chec... | notebooks/setup_data.ipynb |
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# %matplotlib notebook
from mpl_toolki... | calx/swissfel/.ipynb_checkpoints/Ottifant_dev-checkpoint.ipynb |
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# # Exploring Stack Exchance
#
# While everyone *loves... | notebooks/CSC2018 - Pandas.ipynb |
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# %load_ext autoreload
# %autoreload 2
#hide
fr... | index.ipynb |
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import pysnooper
class Solution:
def countPrimes(s... | LeetCode204.ipynb |
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# + [markdown] id="kAaDyWbHMGNo"
# ## Multiple Linear ... | 05_Multi Linear Regression/03_Advertisment_Solution.ipynb |
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# # Introduction
#
# > “I think, ther... | notebook/Intro-Art-of-Data-Science.ipynb |
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# <img src="../images/ipython_logo.png">
# Back to th... | ipython-7.29.0/examples/IPython Kernel/Index.ipynb |
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from __future__ import print_function, division
im... | spark_streaming/3_work_with_sql.ipynb |
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import os
import cv2
import face_recogniti... | people_database.ipynb |
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import sevenbridges as sbg
from sevenbridges.errors im... | notebooks/ot-pdx-processing.ipynb |
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# #### Exploratory Data Analysis with Prior Data Prep... | 2. Data Exploaration (Real Dataset).ipynb |
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# # Source: 247Sports
#hide
import json
import core_c... | j_notebooks/247Sports.ipynb |
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# + [markdown] id="cramVuuFl08e" colab_type="text"
# # Random Forest
# El ra... | Lab06/LAB_Random_Forest.ipynb |
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# ## Parameter optimizati... | notebooks/5.0-lm-optimization-tsne.ipynb |
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Things to do with discrete power law
"""
impo... | notebooks/discrete_powerlaw.ipynb |
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import numpy as np
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# + [markdown] id="FvGBOOog6o0h"
# ## Preprocessing
#... | Deep_Learning_Optimization.ipynb |
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# # LAB 06.02 - NMF face search
# !wget --no-cache -O... | content/LAB 06.02 - NMF face search.ipynb |
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# # Performance Comparison
#
# This notebook compares ... | notebooks/5.0-me-performance-comparison.ipynb |
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# # Star spots
# A major part of the philosophy of `s... | notebooks/StarSpots.ipynb |
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# # Name
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# Batch prediction using Cloud Machine Lear... | components/gcp/ml_engine/batch_predict/sample.ipynb |
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from maggy import experiment
# ### 1. Model definitio... | examples/maggy-torch-dist-example.ipynb |
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import matplotlib.pyplot as plt
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from keras.layers import Conv2D, MaxPooling2D, Input
i... | keras/model/inception.ipynb |
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import numpy as np #numerical computation
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import numpy as np
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import numpy as np
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import numpy as np
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# # Matplotlib
#
# <!... | Week 02 - Data Science Libraries/2- Matplotlib.ipynb |
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import os
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# # ON/OFF theta2 and alpha plot
#
# This notebook pro... | notebooks/lst/real_data/crab_analysis_src_independent.ipynb |
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# Allow us to load `open_cp` without installing
im... | examples/Example Data Sets.ipynb |
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# # Feature importance method in sci-kit learn
# We'l... | TradingAI/AI Algorithms in Trading/Lesson 19 - Feature Engineering/sklearn_feature_importance.ipynb |
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# #### Analysis of a single stock - for simulation ove... | Stock_Analysis_multidim_1stock_weekly.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-west... | hugging-face-lambda-step/sm-pipelines-hugging-face-lambda-step.ipynb |
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# Dependencies
# ----------------------------------
fr... | db/twitter_table_create.ipynb |
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############## PLEASE RUN THIS CELL FIRST! ###################
# import everything and define a test runner function
from importlib import reload
from helper import run
import bloomfilter, network
# -
# Example Bloom Filter
from helper import hash256
bit_field_size = 10
bit_field = [0] * bit_field_size
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# # Sequence classification by multi-layered RNN with ... | tf.version.1/04.rnn/03.08.sequence.classification.Multi.RNN.dropout.ipynb |
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# # K-nearest neighbor Classification
# ### Import pa... | KNN_Classifier.ipynb |
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import boto3
import json
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comprehend = boto3.clie... | Chapter10/comprehend-entity-recognition.ipynb |
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# # Lesson 7 Practice: Matplotlib
#
# Use this noteboo... | L07-Matplotlib-Practice.ipynb |