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using Plots
gr()
lowerBoundsData=[
10 0.009111901... | Create Convergence Plot.ipynb |
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# # Lesson 11 - Stock Prices
# <NAME>-Pinio... | Lesson 11 - Stock Prices.ipynb |
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# # Firefly
# Firefly is a natural inspired metaheuri... | FireFly.ipynb |
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import os
import sys
import json
import datetime
... | validation/STS_Flow_Testing/STS_Flow_Testing.ipynb |
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# #!/usr/bin/env python3s
import os.path
import te... | semanticSegmentation.ipynb |
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import wisps
import pandas as pd
import numpy as np
im... | notebooks/.ipynb_checkpoints/LF-checkpoint.ipynb |
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# --... | notebooks/compute-viable-traits.ipynb |
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# # Hello Quantum
#
# This application first entangles... | hello-quantum.ipynb |
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import collections
from collections import default... | analysis/mf_grc_analysis/mf_combination_representation/mf_size_210514_compare_zplus2.ipynb |
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# Todo:
# * investigate nan's in test set
# * thresh... | paper_supplement/PrimerTutorial 3 - Interpreting features induced by DNN's across multiple types of motif grammars.ipynb |
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# # Practical 4: Modules and Functions - Building Conw... | Practical 4. Modules and Functions - Building Conway's Game of Life.ipynb |
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# # Amazon SageMaker XGBoost Bring Your Own... | advanced_functionality/xgboost_bring_your_own_model/xgboost_bring_your_own_model.ipynb |
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# Markdowns??
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import numpy as np
import pandas as... | .ipynb_checkpoints/500_Cities_Data_Exploration4-checkpoint.ipynb |
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import pandas as pd
import numpy as np
import matp... | analysis/analysis.ipynb |
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-- ### Input-Output Operations
--
-- *Som... | 4IO_operations.ipynb |
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# + id="JYuJKcWPsCtI"
from __future__ import unicode_literals, print_function... | SeqAttnMT.ipynb |
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import pandas as pd
pd.set_option('max_rows', 5)
frui... | pandas/Building-dataframes.ipynb |
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import pandas as pd
import numpy as np
from pathli... | notebooks/by_coin/litecoin_notebook_from CSV.ipynb |
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import stanfordnlp
model_dir='/pi/ai/corenlp'
con... | notebook/procs-stanfordnlp-fr.ipynb |
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# # Station listing
#
# This site provides... | station_listing.ipynb |
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# %load_ext autoreload
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# name: python386jvsc74a57bd01baa965d5efe3ac65b79dfc60c0d706280b1da80fedb7760faf2759126c4... | Python/Machine Learning With Python/Natural Language Processing/Introductory Class - (UFPA)/NLP PARTE I.ipynb |
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# ## Deriving the transfer function of the Simper SVF ... | svf_z_domain_tf.ipynb |
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# April 2020 CME event
#
# another animation is done a... | old_scripts/event_visuals.ipynb |
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# # Developing match up function v2
#
# - Move to a 1D... | notebooks/rompy-dev_matchup_code v2.ipynb |
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# # Balance a pole on a cart with DQN
# <br>
# In this... | Classic Control With DQN/02_CartPole.ipynb |
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# # OpenACC Loop Optimizations
# This version of... | labs/lab3/English/C/README.ipynb |
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# # Disease Outbreak Response Decision-making Under Un... | Archive/Non-Spatial Measles Model (PyMC 3).ipynb |
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# # Capítulo 5 - Uso de Selenium para automatizar acci... | test-lab/05 - selenium.ipynb |
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import cv2
import os
from keras.models import load_mod... | .ipynb_checkpoints/Our Project Attention-checkpoint.ipynb |
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# As we've seen, both Series and DataFrames can have i... | Course - 1: Introduction to Data Science in Python/resources/week-2/IndexingDataFrame_ed.ipynb |
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# # Work with scikit-learn
#
# Our code can work with the famous p... | docs/Tutorial/work_with_sklearn.ipynb |
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# # Errors and Exceptions Homework - Solution
# ### P... | Complete-Python-3-Bootcamp-master/06-Errors and Exception Handling/03-Errors and Exceptions Homework - Solution.ipynb |
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# Please find jax implementation of this notebook here: https://colab.researc... | notebooks/book1/14/resnet_torch.ipynb |
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# +
#default_exp data.core
# -
#export
from local.tor... | dev/05_data_core.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
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# %matplotlib inline
# Import dependencie... | Module practice and skill drills/matplotlib_practice.ipynb |
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# # DATA 512- A2: Bias in Data
# The purpose of this ... | data512_a2/A2_Bias_in_Data.ipynb |
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# # Continuous Control
#
# ---
#
# In this notebook... | p2_continuous-control/Reacher_MultiAgent_Control_Exercise/MultiAgent_Continuous_Control.ipynb |
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# # Tune Hyperparameters
#
# There... | .ipynb_checkpoints/11 - Tune Hyperparameters-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # GPT Model Inference
#
# Welcome! This notebook is ... | notebooks/GPT_model_inference.ipynb |
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# # <NAME>:
# We are in a competition to win the arche... | robin-hood.ipynb |
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# # US - Baby Names
# ### Introduction:
#
# W... | 06_Stats/US_Baby_Names/Exercises.ipynb |
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import pandas as pd
import numpy as np
X_train = np.l... | notebooks/2_linearr_poly.ipynb |
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# ## Tutorial 5. Introduction to functions
#
#
# Creat... | notebooks/t05-TCD-intro-to-functions.ipynb |
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# # Troubleshooting Azure Sentinel Notebooks
#
# If... | TroubleShootingNotebooks.ipynb |
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# # Projeto Ciência de Dados - Previsão de Vendas
#
# ... | Arquivo Inicial - Aula 4.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/lab02.ipynb |
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# # Optimization - Duality
#
# > Lagrangi... | _notebooks/2022-02-07-Optimization-Duality.ipynb |
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importpandas as pd
r_cols = ['user_id', 'movie_id... | Machine Learning/Day 8/similarmovies.ipynb |
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# # Imitation Learning for Portfolio Management
from ... | src/imitation_learning_experiments.ipynb |
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# # Save Pdfs Objects to S3 using Spark OCR
# ## Initi... | jupyter/SparkOCRWritePdfToS3.ipynb |
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tf.__version__
import num... | colab_archive/test.ipynb |
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# # FastSLAM2.0
import sys
sys.path.append('../scripts/')
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'''
URL
BASE = 'https://api.coingecko.com/api/v3/coi... | Week_03_Binary/Downloading and codes.ipynb |
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# <a href="https://colab.research.google.com/github/da... | tutorials/020-Overloaded-Operators-Number.ipynb |
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knitr::opts_chunk$set(echo = TRUE)
require(tidyverse)
require(d... | MDHS_notebooks/hotspotExpressionConstraint.ipynb |
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# !pip install... | Create DataFrame in Pyspark.ipynb |
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# # Gram-Schmidt--The Movie
from IPython.display impo... | demos/linear_least_squares/Gram-Schmidt--The Movie.ipynb |
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# Local Outlier Factor
# -
import pandas as pd
im... | Catherine/ICMLA_Files/LocalOutlierFactor(1).ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | tutorials/W1D5_DimensionalityReduction/W1D5_Tutorial4.ipynb |
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impor... | swbell/ThingSpeak_Wx/Erddap2_webserver_thingspeak.ipynb |
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# # Section 5: Quality and track record
#
# * What are the levels of quality (impact) of Covid AI research papers?
# * What are the levels of ... | notebooks/ai_covid-19_report/paper_section_5.ipynb |
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from selenium import webdriver
from selenium.webdr... | src/utils/youtube_search_engine_v2 (need to update previous code).ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="8ObSVCw3vmxf" execution... | Notebooks/GCN_Implement.ipynb |
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# # Lab 03.1: Visualizing Variables
#
# This lab is pr... | _labs/Lab03/Lab03.1-VisualizingVariables.ipynb |
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# ### create figure for hierarchy example
# 1. get lat... | notebooks/hierarchy-model/hierarchical model MI.ipynb |
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# # Generating data
#
# The purpose of this notebook i... | Notebooks/Generating data.ipynb |
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# ## Event definition
#
# ### Time selection
# For the UK... | doc/_build/.doctrees/nbsphinx/Notebooks/2.Preprocess/2.2Mask.ipynb |
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# %load_ext autoreload
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import os
... | .ipynb_checkpoints/try_detector-checkpoint.ipynb |
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# # Kriging example
#
# Since the global data ... | .ipynb_checkpoints/example-checkpoint.ipynb |
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df = pd.read_csv("..... | exercises/city.ipynb |
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# # Discrimination by Regression
# +
import numpy as ... | 2 - Discrimination by Regression/hw2.ipynb |
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# # Exercise 1
# How can you improve the synta... | 01-Introduction/Exercise-02-Python-Syntax-and-Semantics.ipynb |
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# + tags=[]
import pickle
from tqdm import... | src/notebooks/mimic_merge_datasets_to_train.ipynb |
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# %reload_ext autoreload
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# <img width="500" src="https://azurecomcdn.azureedge.net/cvt-18f087887a905ed3ae5310bee894aa53fc03cfffadc5dc9902bfe3469d832fec/less/images/se... | notebooks/features/geospatial_services/GeospatialServices - Overview.ipynb |
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# # [LEGALST-123] Lab 22: Word2Vec & PCA
#
# In this l... | labs/22_Word Embedding/22_Word_Embedding.ipynb |
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# # Local Linear Regression
# Spring 2019 AME-70790 Fi... | 05_local_linear_regression.ipynb |
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# + [markdown] id="UMo_ZEt2Zbs5"
# Downloading dataset from kaggle through AP... | Resume_Screening_Final.ipynb |
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import matplotlib.pyplot as plt
import numpy as np
imp... | notebooks/part-02.ipynb |
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# The isBadVersion API is already defined for you.... | LeetCode278.ipynb |
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# ## 911 Calls Data from *Kaggle*
# For this project ... | 911_calls-Kaggle.ipynb |
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# Python program to illustrate the concept
# of t... | code/multithread test.ipynb |
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# + [markdown] colab_type="text" id="dlvl6kiulffy"
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# # 회원 탈퇴 예측
# * Decision Tree
# ## 1. 데이터 읽기 및 수정
#... | [분석실무]5.회원탈퇴예측.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/examples/jobshop_with_maintenance_sat.ipynb |
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# # Simulated X-ray Spectrum of Gas in CIE
#
# Simulat... | Chapter5/cieSpec_Calc.ipynb |
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# # Introducing the Keras Functional API
#
# **Learnin... | C03/C03-w04-Lab_keras_functional_api.ipynb |
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# <a name="top"></a>
# <div style="width:1000 px">
#
#... | examples/notebooks/Colored_Surface_Temperature_Plot.ipynb |
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# ### Práctica de Introducción al lenguaje Python
# #... | Practica 1/IntroPython_Grupo2.ipynb |