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# ### Boston Housing Data
#
# In order to gain a bette... | 01_supervised_learning/4_ModelEvaluationMetrics/.ipynb_checkpoints/Regression Metrics Solution-checkpoint.ipynb |
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from os import listdir
from time import time
impo... | src/Evaluate models.ipynb |
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# # 第 3 章 字典和集合
# 正是因为字典至关重要，Python 对它的实现做了高度优化，而散列表... | 03-dict-set/fpln_st3_1ed3_3.ipynb |
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import tensorflow as tf
import tensorflow.keras
from t... | lab-notebook/smunukutla/2019-09-21-SAM - Mineral Naming.ipynb |
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# 
# ## Functions
#
# Rath... | 04_functions_and_libraries.ipynb |
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import pandas as pd
diab = pd.read_csv('pima-indians-... | Classification_ex.ipynb |
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# + [markdown] id="V9zNGvape2-I"
# # **pix2pix**
#
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#
# <font size = 4>p... | Colab_notebooks/pix2pix_ZeroCostDL4Mic.ipynb |
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# # Stress Test
#
# The idea of this code is to see ho... | lab/03_TestingHacking/.ipynb_checkpoints/01_Stress Test-checkpoint.ipynb |
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# # Checking the data
# <NAME>, February 2022
# +
# %... | 3_student/2_check_data.ipynb |
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# layout: global
# title: Clustering
# displayTi... | ml-clustering.ipynb |
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# + id="61zGMMdJNK8z" colab_type="code" colab={"base_uri": "https://localhost... | TensorFlow_MIT/Reinforcement Learning.ipynb |
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# # Demo1
#
#
# [AMath 585, Winter Quarter 2020](http:... | notebooks/Demo1.ipynb |
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# # Preparing Dataset
# json
# incl
# solvent
... | Term Project/Partial_Charge.ipynb |
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import pandas as pd
import psycopg2
import sqlalchemy
... | SQL/SQL_GetN.ipynb |
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# # Robust Scaler - Experimento
#
# Este é um componan... | tasks/robust-scaler/Experiment.ipynb |
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# # Import
# +
import sys
from pathlib import Path
im... | training/attempt_4/train.ipynb |
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# Back to the mai... | examples/notebooks/core/introduction.ipynb |
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#default_exp core
# -
#export
from local.test imp... | dev/01_core.ipynb |
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# 这只是一个普通的pipeline，意义不大。具体请看4.3节。
import re
import to... | 04其他模型教程/4.02 BERT-NER.ipynb |
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# default_exp special
f... | 06_context_free_grammar.ipynb |
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# %matplotlib inline
import numpy as np
import pan... | yzcmi_vs_gj1243.ipynb |
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# # Now, every face will be cropped and saved
# In th... | teams/team_lynx/code/.ipynb_checkpoints/CU-checkpoint.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# <ce... | 05-Open-Access-Data.ipynb |
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# # Comprobar velocidad de extrusión
# Vamos a compro... | medidas/21072015/modelado.ipynb |
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revIncrease = int(row[1]) - prevRevenue
ch... | PyBank/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# # Modeling and Simulation in Python
#
# Chapter 1
#... | notebooks/chap01.ipynb |
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# ## UAP Generate & Evaluate (whitebox)
#
# attacks
# ... | 11-03 eval_untgt-transfer.ipynb |
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# # Bell and CHSH inequalities
# $\newcommand{\bra}[1]... | qubiter/jupyter_notebooks/Bell_and_CHSH_inequalities.ipynb |
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# # Circuitos magnéticamente acoplados
# __UNLZ - Facu... | Circuitos_magneticamente_acoplados.ipynb |
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# <a id='8'></a>
# # Описание проекта "Разведывательн... | module_2/Module_suppl_notebooks/Project 2 - EDA.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 7_Octubre.ipynb |
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# Roo... | Roots, Integration and ODEs.ipynb |
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# # BagOfWords
import nltk
nltk.download()
paragrap... | 004-vk_NLP - BagOfWords or DocumentMatrix.ipynb |
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import nltk
nltk.download_shell()
messages = [line.r... | Natural Language Processing/NLP.ipynb |
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# + [markdown] id="HrJkjB4HMB46" colab_type="text"
# Getting HP stock histori... | SourceCodes/methodology__data_provider/P2_Methodology__chap3___Data_Provider.ipynb |
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# # Drop random values from a pandas dataframe column
... | notebooks/drop-random-values-from-pandas-dataframe.ipynb |
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from datetime import date
from gs_quant.common im... | gs_quant/documentation/02_pricing_and_risk/00_instruments_and_measures/examples/01_rates/000108_swaption_trade_construction.ipynb |
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import simtk.openmm.app as app
import simtk.openmm... | examples/openmm_esmacs/openmm_esmacs_no_constraint.ipynb |
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#if else
#check even and odd numbers
Number_to_b... | bank_program.ipynb |
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# %matplotlib inline
import pandas as pd
import n... | Chapter 03/Feature_Selection.ipynb |
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import os
"""Convert files of a selected director... | inferenceNotebook.ipynb |
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# # Programming Exercise 6:
# # Support Vector Machin... | exercise6/exercise6-SVM.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | ML_Random_test_sample_generators_sklearn.ipynb |
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# + [markdown] colab_type="text" id="... | benchmark/tensorflow_2_fashion_mnist/tensorflow_2_fashion_mnist-clipper.ipynb |
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import sys
sys.path.append('../... | section_uncertainty/noise_simulation4.ipynb |
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import pandas as pd
import string
import zeyrek
#... | codes/senior1-automated.ipynb |
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# + [markdown] id="FibDZlR2iQD8"
# # BOARD OF IMMIGRAT... | notebooks/BIA_SCRAPER.ipynb |
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import pandas as pd
import numpy as np
from sklearn.me... | src/ab_testing/code/.ipynb_checkpoints/similarity-checkpoint.ipynb |
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import matplotlib.pyplot as plt
imp... | Ajustes_python/fitsSimulacion.ipynb |
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# [![img/pythonista.png](img/pythonista.pn... | 11_introduccion_a_javascript.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | module2-loadingdata/GKwolek_2nd_assignment_LS_DS_112_Loading_Data_Assignment.ipynb |
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# # Web Crawling using Selenium in Python
# ## Practi... | Web_Crawling_Practice02_Selenium.ipynb |
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import random
from os import pa... | Code/Preliminary_tests/3-Dataset utils test/My test in loading stuff.ipynb |
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from gensim.models import Key... | Chapter04/3_PreTrainedWordEmbedding_Retrieval.ipynb |
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# + colab={} colab_type="code" id="8A5Jw5NR1iEI"
#Decl... | Karthi/Assignments/1st term/1. karthi_int_Assignment.ipynb |
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# # Rolling Regression
#
# Rolling OLS applies OLS acr... | v0.12.2/examples/notebooks/generated/rolling_ls.ipynb |
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# [![image](https://colab.research.google.com/assets/c... | examples/notebooks/01_leafmap_intro.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | PastaDeArquivos/Modulo2Aula05.ipynb |
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endpoint = 'http://630317bb-4577-4216-82a1-5e4fe48d92db.southeastasia.azurecontainer.io/score'
key = '<KEY>'
import urllib.request
import... | Testing/Testing2/test-price-prediction.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Basic_Keras_Model_for_Diabetes_Dataset.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # C... | 07_sequences/06_summary.ipynb |
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import yfinance as yf
import pandas as pd
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from gzip import GzipFile... | nbk/reverse_engineer_mock6_barcodes.ipynb |
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import os
from azureml.core import Workspace, Experime... | notebooks/intro/Mortgage/3_Rapids_flow_classification.ipynb |
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# %load_ext autoreload
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import os
... | notebook/genome.ipynb |
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# This notebook was prepared by [<NAME>](https://githu... | graphs_trees/tree_level_lists/tree_level_lists_solution.ipynb |
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# # Correlation
import pandas_datareader as pdr
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# # Modeling and Simulation in Python
#
# Starter code... | code/Proj3-ploto.ipynb |
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# Dependencies and Setup
import pandas as pd
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import torch
import wordfreq
import math
from transfor... | Hyechan/ContextVue2/testXLNet.ipynb |
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import json
import os
if not os.path.exists("outp... | playground/examine_notebook.ipynb |
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# ## Ejercicios de Matplotlib
# 1. Import... | 2-EDA/3-Matplotlib/practica/FedeRuiz_ejercicios_Matplotlib.ipynb |
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# ## Question 2 [Leave-One-Out Cross-Validation, 15 Marks]
# ### Load L... | Machine Learning study notes/Linear Models for Classification and regression/src/31436285_assessment_1_q2.ipynb |
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# + id="bjOGToW5Yk9A" colab_type="code" colab={}
import numpy as np
import ma... | SVM_vs_Logistic_regression_vs_Linear_Regression.ipynb |
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# + [markdown] id="cac470df-29e7-4148-9bbd... | _notebooks/2022-05-10-conda-jupyter-lab.ipynb |
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import numpy as np
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# # Get the most common word
#
# Now is your turn to do an application, with no _training wheels_.
#
# The exercise is:
#
# > Print the word w... | wordcount/03-get-most-common.ipynb |
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import glob
import pathlib
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# We implement Bahdanau et al. (2015)'s attention arch... | french-english-NMT/Machine Translation with Bahdanau Attention.ipynb |
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import sys
import pandas as pd
import numpy as n... | notebooks/Holiday - passo 2 - Data Analysis SEIRD and Mobility.ipynb |
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# ## Our Mission ##
#
# Spam detection is one of the m... | Spam Classifier/Spam Classifier.ipynb |
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# # Linear regression
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""" Starter code for simple... | 03.regression/01-2.linear.regression.eager.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as plt
i... | notebooks/06.Supervised_Learning-Regression.ipynb |
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# + [markdown] id="3In88vKrq4WB"
# # Causality Tutoria... | python/Causality_Tutorial_Exercises.ipynb |
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import pandas as pd
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pd.options.dis... | 1_Constitution_database/.ipynb_checkpoints/1.Fusion_WOS-checkpoint.ipynb |
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# # Transfer Learning on pretrained VGGish model for e... | experiments/Transfer Learning on pretrained VGGish model for emotion classification.ipynb |
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# # Generative QA with "Retrieval-Augmented Generation... | tutorials/Tutorial7_RAG_Generator.ipynb |
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# <div class="alert alert-block alert-warning">
# <b>D... | notebooks/1_jupyter_basics/jupyter-notebook-intro.ipynb |
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# %matplotlib inline
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# # !wget https://storage.googleapis.com/xlnet/rel... | text-augmentation/8.xlnet-augmentation.ipynb |
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# # Dimensionality reduction
from urllib.requ... | dimensionalty_reduction.ipynb |
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import dask_cudf
import cudf
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# # 31009 - Final Project - RNNs Model
# ### Ada, Rohi... | 3.2_RNN_GloVe.ipynb |
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# + tags=["remove-input", "active-ipy... | openmdao/docs/openmdao_book/features/core_features/working_with_groups/connect.ipynb |