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# Dependencies and Setup
import requests
impo... | Cleanup/Google_Nearby_Search.ipynb |
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from keras.preprocessing import sequence
from keras.pr... | Sentiment Analysis LSTM.ipynb |
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import requests
import xml.etree.ElementTree as ET
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import tensorflow as tf
from flask import Flask, r... | Grey2colorPythonServer.ipynb |
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# # RNN Sentiment Classifier
# In this notebook, we u... | notebooks/rnn_sentiment_classifier.ipynb |
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# + [markdown] heading_collapsed=true
# ## BoilerPlate... | 9_Alexnet_fastai/AlexNet using FastAI.ipynb |
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# Librerie
import os
import pandas as pd
import numpy ... | G1_data_visualization.ipynb |
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# # Topics – Easy Topic Modeling in Python
#
# The tex... | notebooks/IntroducingGensim.ipynb |
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import tensorflow as tf
#helper_functions
#_______... | mnist_helper_functions.ipynb |
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# ### Preliminaries
# +
# Show all figures inline.
... | opc_python/gerkin/challenge1_collaborative.ipynb |
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# Note: Parts of this homework might be qui... | exercises/Exercises_04.ipynb |
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# + [markdown] papermill={} tags=[]
# <img width="10%"... | OpenWeatherMap/OpenWeatherMap_Send_daily_email_with_predictions.ipynb |
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# ## Introduction to the Interstellar Medium
# ### <NA... | star_formation/infall.ipynb |
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# %matplotlib inline
from pprint import pprint
fro... | Sleep Well At Night Redux.ipynb |
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# # Interactively rendering weather maps from the KNMI... | wheather_maps.ipynb |
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# %matplotlib inline
#
# 신경망(Neural Networks)
# =====... | docs/_downloads/c029676472d90691aa145c6fb97a61c3/neural_networks_tutorial.ipynb |
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# + id="1PWRp6JI3U45" colab_type="code" colab={"base_uri": "https://localhost... | BERT_snli.ipynb |
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# ### Visualizing Action Classes Learned with ... | deepdraw-TSN-RGB.ipynb |
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import socket... | examples/android/Android Proxy.ipynb |
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# pipenv)'
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# ---... | 6. FA/Q-Learning with Value Function Approximation Solution.ipynb |
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import torch
import torch.nn as nn
import numpy... | cs224w/ADDfile.ipynb |
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# # Anagram Solution
#
# ## Problem
#
# Given two stri... | code/algorithms/course_udemy_1/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Anagram Check - SOLUTION.ipynb |
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# # XML example and exercise
# ****
# + study examples... | Week_1/DATA_WRANGLING/WORKING_WITH_DATA_IN_FILES/data_wrangling_xml/data_wrangling_xml/.ipynb_checkpoints/sliderule_dsi_xml_exercise-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | object_detection_training.ipynb |
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# %pylab inline
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# # Frequencies of words in novels: a Data Science pip... | NLP_FB_live_coding_soln.ipynb |
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# # Merging and Concatenating Dataframes
#
#
# In this... | 5__Merging_Concatenating.ipynb |
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# # T1218.008 - Signed Binary Pr... | playbook/tactics/defense-evasion/T1218.008.ipynb |
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import numpy as np
import sparse
import scipy.sparse a... | examples.ipynb |
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# # Example 1 of the "The GMT/MATLAB Toolbox" <NAM... | WL_example_I.ipynb |
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# + pycharm={"is_executing": false}
from gs_quant.sess... | gs_quant/documentation/02_pricing_and_risk/01_scenarios_and_contexts/examples/04_curve_shock/010400_parallel_curve_shock.ipynb |
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import numpy as np
import keras
from keras.dataset... | pynq_interface_code/get_test_data.ipynb |
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#ClientID
#713695703931-96evkgsumethcakcjq8bmte1bl... | calender.ipynb |
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# # Load our data in and take a look at both the raw d... | chris_notebook.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | efficientdet/faces_test_EfficientDet_D4.ipynb |
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import numpy as np
import pandas as pd
import sea... | notebooks/09-oskin-spread.ipynb |
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import requests
import requests.auth
import csv
import... | reddit-pull/API Test.ipynb |
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from nltk import word_tokenize
line = "the less t... | Untitled.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # N... | Lecture Material/04_Numbers_and_Math/04.0-Introduction.ipynb |
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# # 0. Importing PySpark
# +
from pyspark import Spar... | Homeworks/01. Introduction to Spark/02. Dataset queries using Spark.ipynb |
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# + [markdown] id="Hh7kOH_zRcEw" colab_type="text"
# # "An Overview of Initia... | _notebooks/2020-07-31-An-Overview-of-Activations-and-Initializations-for-Deep-Neural-Networks,-Part-1.ipynb |
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# # `plot()`: analyze distributions
# ## Overview
# ... | docs/source/user_guide/eda/plot.ipynb |
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import numpy as np
import pandas as pd
network_data =... | 3_multinomial_NETWORK INTRUSION DETECTION.ipynb |
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# The goal of this notebook is to code a decision tree... | handling only continuous variables.ipynb |
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# # Table of Contents
#... | v1.52/Tests/4.2 User comparison tests graphs.ipynb |
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# + id="Ve_yMfQGf1kK" colab={"base_uri": "https://localhost:8080/", "height":... | Tube03knn_1301174181.ipynb |
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# <h1 id="Introduction-to-OpenCV">Introduction to Op... | jupyter/opencv_introduction.ipynb |
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# # Advertisement CTR optimisation
# + [markdown] col... | Ads-CTR-Optimisation/Ads_optimise.ipynb |
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# + [markdown] id="lP6JLo1tGNBg"
# # Artificial Neural... | artificial_neural_networks/artificial_neural_network.ipynb |
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# # Plotting Morisita-Horn similarity
#
# In our manus... | make_figures/02_morisita-horn_similarity.ipynb |
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import pickle
import requests
import p... | Credit_Risk_Prediction.ipynb |
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from datascience import *
import numpy as np
# # NumP... | coding snippets/lecture_5_6_snippets/Lecture 6 Examples.ipynb |
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# # Tools for SUITE Risk-Limiting Election Audits
#
# ... | code/lansing_SUITE.ipynb |
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# # 11 Xarray
#
# Objectives
#
# * Use the xarray pac... | Tutorial/11-Xarray.ipynb |
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# # 4.8 Twitter users and news
# +
import math
""" Co... | Chapter 4/Exercises/4.8_Twitter_News_1.ipynb |
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# This not... | Replication.ipynb |
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# # Graphing mathematical functions with Altair
# [Al... | notebooks/graphing.ipynb |
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# ### Installation
#... | Real_Data/10x_PBMC_5k/extra_clustering/Cicero/Cicero_10xpbmc5k.ipynb |
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# # Introduction
# In notebook '12. Manual curation ma... | notebooks/15. Finalizing mass balancing.ipynb |
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# ## Thanos - project 1
# ### 1- function Thanos to r... | thanos project1.ipynb |
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# # Task 4: Personal EDA - Kyle
import pandas as pd
i... | analysis/kyle/milestone2.ipynb |
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# # Querying ALeRCE - Stamp Classifier
# ```Author: <N... | example_notebooks/ZTF_Stamps_API-DB_Query.ipynb |
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# # 第四步：后处理
#
#
# 在这一部分中，我们对优化结果进行后处理以进行评估和可视化。
#... | docs/zh/workshop/a-molecular-unfolding/post-process.ipynb |
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# # Teil 8 - Einleitung für Pläne
#
#
# ### Kontext
#... | examples/tutorials/translations/german/Part 08 - Introduction to Plans.ipynb |
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import copy
import random
import nu... | amazon_review/train_bert.ipynb |
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#webcam
import cv2
import numpy as np
cap = cv2.V... | test_cv2_video_function_sandbox.ipynb |
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# # 304 Save and Reload
#
# """
# View more, visit my ... | tutorial-contents-notebooks/304_save_reload.ipynb |
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# # plotting $\sigma_{\rm log \mathcal{M}_*}(\mathcal{... | centralms/notebooks/notes_siglogMstar_tduty.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab.research.goo... | UCI_Credit_KNN.ipynb |
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import numpy as np
import pandas as pd
# ... | notebooks/hcds-a2-bias.ipynb |
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# %load_ext autoreload
# %autoreload 2
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# # WordPress to Fastpages
# > Converting wordpress bl... | _notebooks/2020-02-25-wordpress-export.ipynb |
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# %matplotlib inline
#
# # Kernel Density Estimation
... | scikit-learn-official-examples/neighbors/plot_digits_kde_sampling.ipynb |
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# # Step 4: Feature Engineering
#
# Use the code below... | notebooks/step4.ipynb |
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# title: "Apply Operations Over Items In A List"
# author: "<NAME>"
# date: 2017-12-20T11:53:49-07:00
# description: "Apply Operations Over Items In A List"
# type: technical_note
# draft: false
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# # An approximate solver for Burgers' equation
# As ... | Burgers_approximate.ipynb |
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import pandas as pd #importing necessary libraries
... | Datasets/.ipynb_checkpoints/STOCK PRICE PREDICTION TECHNOCOLABS-checkpoint.ipynb |
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# ## Dependencies
# + _cell_guid="b1076dfc-b9ad-4769-... | Model backlog/Train/115-melanoma-5fold-efficientnetb6-256-malig-2020.ipynb |
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# # Introduction
# This Jupyter notebook loads data a... | evidence of orbital ferromagnetism in twisted bilayer graphene aligned to hexagonal boron nitride/tbg_rot_figures.ipynb |
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# Music processing
from music21 import *
# Al... | Tests/Music Note Extraction Test.ipynb |
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# # Abstract Pulse Template
# This pulse template can ... | doc/source/examples/12AbstractPulseTemplate.ipynb |
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# +
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '1... | test/test-universal-melgan.ipynb |
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# ## Scraping basics
#
# There are a few steps you'll ... | completed_code/scraper-0.ipynb |
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# # Viper Data Process Diagram
#
# The fol... | docs/process_diagram.ipynb |
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s = 'Global Variable'
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# + [markdown] id="view-in-github" colab_type="text"
#... | Coursera_capstone/all_assignments/Capstone_Project_The_Battle_of_the_Neighborhoods_London_Neighborhood_Clustering.ipynb |
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# # N-Gram models
# > Learn about n-gram modeling and ... | _notebooks/2020-07-17-03-N-Gram-models.ipynb |
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# # Correlating microstripline model to measurement
#
... | doc/source/examples/networktheory/Correlating microstripline model to measurement.ipynb |
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# <script async src="https://www.googletagmanager.com/... | notebook/Tutorial-Start_to_Finish-BSSNCurvilinear-Two_BHs_Collide-Psi4.ipynb |
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# Copyright (c) 2021, salesforce.com, inc.\
# All righ... | tutorials/simple-end-to-end-example.ipynb |
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import numpy as np
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# + [markdown] tags=[]
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | Digit-Recognizer.ipynb |
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# ## Surface Determination Workflow
import num... | scratchpad/surface_determination/notebooks/make_plots.ipynb |
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# ## Football Predictor Model
# In this notebook we d... | football_predictor.ipynb |