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# <a href="https://colab... | Binary_Classification_Dog_vs_Cats.ipynb |
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# > **How to run this notebook (command-line)?**
# 1. ... | notebooks/Transfer_Learning_Demo_Teachers_Forcing.ipynb |
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# # StyleGAN2-ada operations
# modules for notebook l... | StyleGAN2a.ipynb |
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# # Jupyter Notebook Installation (Pre-requisites)
# ... | runbooks/DevSecOps runbooks/0.1. Install Jupyter Pre-requisites.ipynb |
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# # 循环
# - 循环是一种控制语句块重复执行的结构
# - while 适用于广度遍历
# - fo... | rxl 9.13.ipynb |
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# https://qard.is.tohoku.ac.jp/T-Wave/?p=1136
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# # !conda install -y attr... | notebooks/simlated_annealing.ipynb |
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# + [markdown] slideshow={"slide_type": "skip"}
# <tab... | 02_PDEs.ipynb |
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# # CIFAR-10 Image Classifier using Resnet50... | examples/CIFAR10_image_classifier_using_ResNet50.ipynb |
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import pandas as pd
import numpy as np
#load the ... | Lab06_107065518.ipynb |
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#Import an library for a large collection of high-... | Maximum likelihood estimation.ipynb |
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# # Approximating the Integral
# This notebook is a pl... | 4_8_Vehicle_Motion_and_Calculus/.ipynb_checkpoints/Approximating the Integral-checkpoint.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="FxItyTKRvph9" execution... | swin/swin_model.ipynb |
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# + [markdown] ein.tags=["worksheet-0"] slides... | 01_introduccion.ipynb |
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# With GPS-enabled devices, it's easy to collect a large quantity of trajectory data, i.e. a connected series of points in 2D or 3D. However,... | examples/user_guide/4_Trajectories.ipynb |
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# ## Frau... | fraud_detection.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | chenyu/Heston_FFT.ipynb |
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import pandas as pd
# Get the data
column_names ... | Movie Recommender System.ipynb |
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# + [markdown] id="DeAkZwDhufYA"
# # Open-Domain QA on Tables
# [![Open In Co... | tutorials/Tutorial15_TableQA.ipynb |
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# # NumPy Operations
# ## Arithmetic
#
# You can easi... | Python/data_science/data_analysis/02-Python-for-Data-Analysis-NumPy/03-Numpy Operations.ipynb |
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# # Running the Notebook Server
# The IPython noteboo... | examples/Notebook/Running the Notebook Server.ipynb |
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# %matplotlib inline
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# # Customized Colorbars Tutor... | matplotlib/tutorials_jupyter/colors/colorbar_only.ipynb |
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# # Create a graph with NetworkX
# - https://pypi.org... | Python_Graph/NetworkX Tutorial.ipynb |
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# <small><small><i>
# All the IPython Notebooks in thi... | 002_Python_strftime().ipynb |
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import numpy as np
import pandas as pd
from solvers.qc... | photocurrent-qcd.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# <a href="https://colab... | notebooks/huggingface_conll_2003.ipynb |
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# # Advanced testing
#
# Up till now we have been test... | 05_advanced_testing.ipynb |
# + [markdown] tags=[]
#
# *Note:* You can run this example locally (`ploomber examples -n spec-api-sql`) or in Binder (hosted JupyterLab ).
#
# [](https://mybinder.org/v2/gh/ploomber/binder-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252Fploomber... | spec-api-sql/README.ipynb |
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# The formatting for tables is pret... | jupyter/dynamodb moto.ipynb |
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# HIDDEN
from datascience import *
from prob140 import... | miscellaneous_notebooks/Hitting_and_Occupation_Times/Returns_and_First_Passage_Times.ipynb |
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# # Neural Network in pure python
#
#
# import libraries
i... | Nicola_Dainese_Ex1/Source code/Nicola_Dainese_Lab2.ipynb |
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import pandas as pd
import numpy as np
import pic... | plot_cases_raw.ipynb |
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// # Introduction to J... | Getting-Started/Core-JavaScript/Introduction.ipynb |
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from sklearn.tree im... | unit_6/ml_5.2.5.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # P... | demo-ecas-ophidia/ecas-b2share-tn.ipynb |
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# + id="JNh216CCm9ID"
# If you are running on Google C... | fmh_ppo/feudal_multi_agent.ipynb |
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# from theano.sandbox import cuda
# -
# %matplotl... | deeplearning1/nbs/lesson5-Michael- fine tuning-embedings-Twitter.ipynb |
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import pandas as pd
import numpy as np
import sklearn ... | Prace_domowe/Zadanie0/Grupa1/Grzyb_Mateusz/temp.ipynb |
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# # Task Bモデルの評価
# 訓練データにないコレクションに対する評価を... | notebooks/taskB_eval.ipynb |
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# # Solutions
#
# ## Ques... | book/building-tools/04-editor-and-cli/solutions/.main.md.bcp.ipynb |
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# # Part 1: Launch an OpenGrid Node On Heroku
#
# Open... | examples/Part 1: Launch a Grid Node on Heroku.ipynb |
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# # NasNet Dogs v Cats
# %reload_ext autoreload
# %au... | courses/dl1/nasnet.ipynb |
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# + [markdown] id="TpQCOZh1wLp8"
# # Inference
#
# Thi... | inference.ipynb |
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# # 🐳Happywhale 🐬
# Identify and group all images th... | kaggle/Happywhale/happywhale-eda-vision-transformer.ipynb |
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# # Bond Breaking
# Here we use the VQE to... | py/tutorials/4_bond_stretching.ipynb |
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# ## Introdução ##
# O acompanhamento nutricional de ... | .ipynb_checkpoints/map_plot-checkpoint.ipynb |
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# + id="jEkxAvDQ3kT3" colab_type="code" colab={}
import numpy as np
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import dalex as dx
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from bs4 import BeautifulSoup
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im... | intern/Untitled.ipynb |
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### Quantiacs Trading System Template
# This program m... | 28DEC_LSRE.ipynb |
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# imports
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# # Assignment 01: Draw a Pair Plot Using Seaborn Li... | Assignment_01.ipynb |
# -*- coding: utf-8 -*-
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# # Prelude
# First, let's... | docs/notebooks/1dbrightsoliton.ipynb |
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import pandas as pd
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# + [markdown] slideshow={"slide_type": "s... | presentations/010_debugging_en_gdb/slides.ipynb |
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# # STAT451: Machine Learning -- L07: Ensemble Methods... | 07-ensembles/code/07-04-2_gradient-boosting-with-categorical.ipynb |
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# # p.20 Twitter Sentiment An... | wei/p20.ipynb |
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# <center>
# <h1> INF-285 - Computación Científica... | SC1v2/11_ODE.ipynb |
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# Ta-Stephan: Didn't grab the number of comments for e... | 10/Homework_10_Scraper_Homework_Graded.ipynb |
// -*- coding: utf-8 -*-
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# # Mini Program - wordFrequency using Python
... | FindWordFrequency/frequencyOfWords.ipynb |
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# + [markdown] id="Jjwq1nzqt99V"
# This is a simple notebook to explore some ... | language_translation_ibm_watson.ipynb |
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# https://data.giss.nasa.gov/gistemp/station_d... | notebooks/nasa data.ipynb |
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# # Exercise 0.10
# Over the next couple of exercises ... | labs/notebooks/basic_tutorials/Exercises_0.10_to_0.14.ipynb |
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# # Watch Me Code 1: Read and Write Message
#
... | content/lessons/08/Watch-Me-Code/WMC1-Read-And-Write-File.ipynb |
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# # Example 9.6: Jet Propulsion (Cold-Air-Standard)
#
... | examples/ME321-Thermodynamics_II/02 - Chapter 9 Gas Power Cycles/Ex9.6 Jet-Propulsion (Cold-Air-Standard).ipynb |
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# # Imports
# +
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import matplotlib.... | Differential Equations/Notebooks/Plane Simulation.ipynb |
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# # Convertible Fixed Coupon Bond
# [<NAME>](http://go... | notebook/Quantlib_example/convertible_bond.ipynb |
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# # Problema
#
# Calcolare approssimativamente il valo... | pi.ipynb |
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# Uma correlação de zero indica que não há uma correla... | 01-python-EDA-stat-univariada/02 Dispersão Associação/correlações_deepdive.ipynb |
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# + active=""
# 说明：
# 编写一个遍历游程编码序列的迭代器。
# 迭代器由... | Array/0923/900. RLE Iterator.ipynb |
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import xgboost as xgb
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# # EnerjiSA Veri Bilimi ve Analitiği Bootcamp - Ödev3
# # 1. One... | enerjisa_data_science_hw3/Hw3.ipynb |
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# <table align="left" width="100%"> <tr>
... | silver/C02_Mathematical_Notations_Solutions.ipynb |
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# # Packet Analysis - Final Project
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from scapy.al... | FinalProject/Packet Analysis.ipynb |
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#
#
# Use Tensorize to Leverage ... | _downloads/dbeb50b59b041a25d6cbf14de9d5a3cb/tensorize.ipynb |
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# # Varying wrapping functions
#
# Date created: 29/03... | tutorial/gmdpd_higher_order_prod.ipynb |
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# from PIL import Image
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# ## Case study: Data processing in FDDs
... | 7455261_MatsveiKachatkou_case1.ipynb |
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# # Test / retest reliability of classifications
# +
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# # Dose-Response Analysis: Smoking and Lung Cancer
# #... | jupyter/1_medical_statistics/1_09_doseresponse_smoking.ipynb |
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# %load_ext lab_black
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import j... | AlgoTrading/ParameterAnalysis/.ipynb_checkpoints/Grid_Trading_BTC_day-checkpoint.ipynb |
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# # Dynamic QSP reporting with R and Jupiter
#
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | Mini Projects/ML Explainability/model-explainability-for-classification.ipynb |
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# # REPRESENTACIÓN DE LA BASE DE DATOS
# ## Notación ... | .ipynb_checkpoints/Trabajo Final Pregunta 3-checkpoint.ipynb |
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# # AAE364 Grand Prix
#
# This notebook is a go-kart r... | 11.GrandPrix.ipynb |