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# # Serving ML Predictions in batch and real-time
#
# ... | courses/machine_learning/deepdive2/production_ml/solutions/serving_ml_prediction.ipynb |
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# + kernel="SoS"
[global]
fastq_file = 'raw_data.fastq'
count_fil... | doc/examples/HomePage_Example_2B.ipynb |
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if (!require(pacman)) install.packages('pacman')
pacman::p_load(tidyvers... | src/bikeshare.modeling.R.01.ipynb |
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# + [markdown] id="ig1HGm_sXvHx"
# # Twitter Sentiment... | sentiment_analysis_logistic_rergression.ipynb |
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# Dependencies.
import pandas as pd
import spacy
import gensim
import re
# Load clue data file.
clueDf = pd.read_csv("clueClustered.csv",enco... | Data Preparation/answers.ipynb |
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import tensorflow as tf
import keras
import numpy ... | old/t11_keras_multiple_input.ipynb |
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import math
import numpy as np
import func... | papers/copper-mountain-2021/jupyter/h-prolongation.ipynb |
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# ## Observatio... | Pymaceuticals/pymaceuticals_starter.ipynb |
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# <figure>
# <IMG SRC="https://raw.githubusercontent... | Computerprogrameren TUDelft/Notebook 01 Basics and plotting/python2016_notebook1.ipynb |
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# # Overview
#
# Feel free to skip to the section labe... | example_income.ipynb |
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# ## pCMV-Target-ACE
# QUEEN script for p... | demo/sakata_et_al_2020/pCMV_Target_ACE_construction.ipynb |
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# ### Installing the Library
... | Samples/PIIScrubberDemo.ipynb |
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# + active=""
# Text provided under a Creative Commons... | lessons/10_Step_8.ipynb |
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# Import libraries necessary for this project
imp... | telco customer segmentation.jupyter-py36.ipynb |
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# # A Guided Tour of Ray Core: Remote Func... | ex_01_remo_func.ipynb |
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# PyGSLIB
# ========
#
# QQ and PP pl... | pygslib/Ipython_templates/deprecated/qqplt_raw.ipynb |
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# # Deep Neural Network in TensorFlow
# In this noteb... | notebooks/deep_net_in_tensorflow.ipynb |
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# # Printing Output to a Text File
#
# is simple. ... | Tutorial_11_PrintToFile.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Speech_To_Text.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | cars_detection.ipynb |
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# # What is Sequence Classification?
# Sequence Class... | tutorials/2. Sequence Classification/Easy Sequence Classifier.ipynb |
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import pandas as pd
import numpy as np
from sklear... | practica3/stacking.ipynb |
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# + [markdown] id="56LiYCkPM7V_" colab_type="text"
# # Welcome to Stanza!
#
#... | demo/Stanza_Beginners_Guide.ipynb |
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# # 1A.algo - Programmation dynamique et plus court ch... | _doc/notebooks/td1a_algo/td1a_correction_session7.ipynb |
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# # Plot the median acceptance delays per year for select journals
libr... | nature-news.ipynb |
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# %%
from mpl_toolki... | Notebooks/Target-lane.ipynb |
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# # Function Node
#
# Satra once called the `Function`... | notebooks/basic_function_nodes.ipynb |
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# # Workshop Mumbai, July 2018
#
# The goal of... | program.ipynb |
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# # WeatherPy
# -... | starter_code/WeatherPy.ipynb |
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# # Movie recommendation
#
# Objective: Based on movie... | movie-recommendation/recommendation.ipynb |
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# %load_ext autoreload
# %autoreload 2... | notebooks/lab2.ipynb |
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# # Lesson 3 Demo 2: Focus on Primary Key
#
# Cassandr... | Code/Cassandra/lesson2/demo2.ipynb |
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# # Understanding the Derivative
#
# You just saw thes... | 8_Vehicle_Motion_and_Calculus/.ipynb_checkpoints/Understanding the Derivative-checkpoint.ipynb |
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from __future__ import print_function
import pandas as... | Phishing Website Dection/NB.ipynb |
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import os
import boto3
from liteblue.handlers.json_utils import dumps
fro... | docs/check_available.ipynb |
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# # Linear Support Vector Machine: Soft Margin
# -----... | 04_Support_Vector_Machines/02_Working_with_Linear_SVMs/02_linear_svm.ipynb |
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# + [markdown] id="lMsTSllcVqpO"
# # Introduction to P... | 02_PYTHON/week02/week02_introduction_to_pytorch_framework.ipynb |
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import pandas as pd
import pandas_profiling
from panda... | Analytic Vidya Jobathon/Credit Card Lead Prediction.ipynb |
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import cv2
import numpy as np
import matplotlib.pyplot... | Question_91_100/solutions_py/solution_099.ipynb |
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# pylab Populating the interactive namespace from nump... | old/Chapter01/Exercise01.ipynb |
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# # %load ResNet18.py
import tensorflow as tf
imp... | Assignment-3/q3.ipynb |
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import malaya
# ## Load naive speller
malays = malay... | example/spell-correction/load-spell-correction.ipynb |
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# # Comparing TensorFlow (original) and PyTorc... | src/NL_BERT/BERT/notebooks/Comparing-TF-and-PT-models-SQuAD.ipynb |
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# # KNOWLEDGE
# The [knowledge](https://github.com... | kl.ipynb |
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# # 12-training-dev-test
# > Creating func... | 12-training-dev-test.ipynb |
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# + active=""
# Created by <NAME>
# ISIA Lab, Faculty ... | MultiTransformer.ipynb |
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# [![Notebook Tutorial](__code/__all/notebook_tutorial... | notebooks/combine_images_n_by_n.ipynb |
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import importlib
import locations
import clean
impo... | locations.ipynb |
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# # SCEIR model
#
# Using PyGOM, we will set up my sim... | Notebooks/covid-19-caution/SCEIR_pygom_fitting_N.ipynb |
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import pandas as pd
import os
import matplotlib.pyplot... | Model/Cross_Star/Pb/TradingResults/Integrate_Pb.ipynb |
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# + [markdown] colab_type="text" id="_Cz4JmIgTwg2"
# #... | IEOR 222 Final Project Shun Lin.ipynb |
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# # How to use DTW-SOM: using air pollutants data as e... | examples/examples.ipynb |
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# ### Grade: 11 / 11 -- look for TA-COMMENT
# # Homew... | Homework_4_database_shengyingzhao_graded.ipynb |
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# # Collections
#
# In this section thus far, we have ... | CH40208/python_basics/collections.ipynb |
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# # COVID Global Forecast Task Notebook
# #### Setup
... | join-tatanic-project/Notebooks/covid19-task-notebook.ipynb |
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import json
import time
import pandas as pd
impor... | notebooks/QnA/QnA.ipynb |
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# # Variablen
# <strong>Variablen</strong> sind ein g... | 02 Python Teil 1/02 Variablen.ipynb |
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# # Machine Learning and Statistics for Physicists
# ... | notebooks/Markov.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | ex10/Guilherme_Pereira/Aula_10_Guilherme_Pereira.ipynb |
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# ## Dogs v Cats
# +
# %reload_ext autoreload
# %autorel... | courses/dl1/lesson7-CAM.ipynb |
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# # Welcome to the books recommender assignment
#
# ### Activities
# During this assignment, you will:
# - Create your first basic recommender... | Week 01/00-welcome.ipynb |
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# # SageMaker Batch Transform Example Noteb... | ml-models/pacs008/xgboost/xgb_batch_transform_example.ipynb |
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import os, sys
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# +
import tarfile
import pathlib
import json
def re... | research/duc2004_to_jsonl.ipynb |
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import sys, json, random, os
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# + [markdown] origin_pos=0
# # Sequence Models
# :label:`sec_sequence`
#
# Imagine that you are watching movies on Netflix. As a good Netflix... | d2l-en/mxnet/chapter_recurrent-neural-networks/sequence.ipynb |
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# # seed generator = Faker
# MySQL Workbench
#
# If y... | workspace/seeding_mysql.ipynb |
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#Reading data
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from collections imp... | Intro_FB_User_Classify.ipynb |
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# # 6. Purity
# This notebook shows how to run the Pu... | experimental/06. Purity.ipynb |
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# # Equilibrating the System
#
# ## Overview
#
# ### Q... | 00-Introducing-HOOMD-blue/06-Equilibrating-the-System.ipynb |
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# # PyConverse Basic usage:
# Import necessary functi... | notebook/usage.ipynb |
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import numpy as np
from keras.models import Model
from... | notebooks/layers/advanced_activations.ipynb |
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# # Grafici sui dati sul Corona Virus
# ## Se non vuoi... | visualizzazione/.ipynb_checkpoints/analisi_descrittiva-checkpoint.ipynb |
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# # Network Mining
#
# ## Lab 2: Similarity
#
# #### N... | NetworkMining_Lab_02_Similarity.ipynb |
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# # Thresholding
# ---
... | Computer-Vision-Fundamentals/thresholding.ipynb |
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import torch
t = torch.Tensor(2,3)
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t = tor... | tensors_basics.ipynb |
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# # Indicators
# ## Source
import pandas ... | notebooks/eda/100_ta_indicators_talib.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="3fif9bJeVlGl" outputId=... | Cardio/cardio.ipynb |
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# # Statistical Approaches to Neuroscience
#
# Theoret... | neurophysics-neuroscience/python/basics/stats_and_bootstrapping.ipynb |
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# + papermill={"duration": 0.015245, "end_time": "2021... | examples/transformers-gpt2-ja/output/train_tokenizer.ipynb |
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# ## What IS*() the data type?
#
# The values containe... | intermediate_spreadsheets/1_whats_in_a_cell.ipynb |
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# # Writing Functions in Python
#
# - 4 hours
# - 15 V... | writing_functions_in_python/summary.ipynb |
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# %env ENERGY_PLUS_FOLDER=/Applications/EnergyPlus-8-5... | notebooks/demo-energyplus-co-simulation.ipynb |
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# +
using GLM
using CSV
us... | ch7-issue/ch7.ipynb |
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## import modules/packages
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# # A Quantum ''Hello World"
#
# This is my first work... | 2_A_Quantum_Hello_World.ipynb |
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# # Overview of the OMNI behavioral dataset
#
# The OM... | data_release_2/omni_behav_and_MRI_IC_data_example.ipynb |
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# # データ 前処理
# +
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# ## Import Packages
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