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# <a href="https://colab... | faceFocusBot.ipynb |
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# # Pill 7 - Overfitting
# <div class = "alert alert-... | pill7 - introduction to overfitting_student/pill7 - introduction to overfitting_student.ipynb |
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# ## DFO Nutrient Com... | notebooks/evalSection/vET-Hakai-paperFig-TS.ipynb |
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# # Time-series outlier detection using Pr... | examples/od_prophet_weather.ipynb |
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# + [markdown] id="_DDaAex5Q7u-" colab_type="text"
# ##### Copyright 2019 The... | TensorFlow-with-dynamic-scaling/tensorflow/lite/g3doc/performance/post_training_integer_quant.ipynb |
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import argparse
import pickle
import o... | Fig5.ipynb |
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# ### Sjekke innhold i dataframes ved hje... | notebooks/Finne, se og lagre data på Dapla/Få oversikt over innhold i dataframes med Python og PySpark.ipynb |
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# + [markdown] id="LYvAOR2VzHmW"
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# **Diplomatura en Ciencia de Datos, Apren... | 00 Leer dataset.ipynb |
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import warnings
import torch
import seaborn as sn
... | examples/Visualize_English_Hebrew.ipynb |
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import pandas as pd
import numpy as np
import matp... | projects/causal moneyball/Causal-analysis-on-football-transfer-prices/Pre-processing notebooks/transfer_price_ categorization.ipynb |
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# # <font color='blue'>Data Science Academy - Python F... | Cap03/Notebooks/DSA-Python-Cap03-Exercicios-Loops-Condiconais.ipynb |
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# + [markdown] id="view-in-github" colab_type="text... | ATMS_207_Week_5_HW.ipynb |
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# + [markdown] _uuid="1823966fdc4d7515054b3b4cc01e0830... | notebook3540fc5853.ipynb |
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# # 深层前馈神经网络
#
# 构建一个L-层的前馈神经网络用于解决分类问题,在隐... | docs/notebooks/Feed-Forward-Neural-Networks.ipynb |
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# + id="DUtcLOuvsiY3" colab_type="code" colab={}
import tensorflow as tf
impo... | Cifar10/CIFAR10_Gaussian/CIFAR_10_Gaussian_Filter_Histogram_of_Frequency_Filter.ipynb |
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import numpy as np
import matplotlib
import matpl... | assets/notebooks/ODE_Methods_Clean.ipynb |
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# In this notebook we have combined the digester's dat... | notebooks/0.6.0-distance-classification-to-the-emp.ipynb |
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import numpy as np
# %pylab inline
# ## $A(t,T) = \Si... | notebook/.ipynb_checkpoints/StoltzaAndMacnae1998_simple_impulse-checkpoint.ipynb |
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import numpy as np
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# %... | Modulo1/Clase4Douglas.ipynb |
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# # Instructions for getting dataframe from RDS
#
# ``... | aws/sam/mads-simulate-app/swap_simulation/simulate_notebook_nm.ipynb |
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# # Plotting oligometastasis intervention benefits
#
#... | scripts/oligomet_intervention_plotting.ipynb |
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# # How to use `layout`
import sys
sys.path.append('.... | tutorials/layout.ipynb |
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# # Lesson 5 - FastAI
# ... | _notebooks/2021-07-10-Lesson5-pet_breeds.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Introduction_to_Google_Colab.ipynb |
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# %load_ext autoreload
# %autoreload 2
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# Set the reposit... | notebooks/2-Create-pipelines.ipynb |
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# <a href="https://colab... | tutorials/W3D4_DeepLearning1/student/W3D4_Tutorial3.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | Notebooks/plot_performance.ipynb |
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import test as t
from src.digraph_generator import... | digraph/App.ipynb |
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# `ApJdataFrames` 008: Luhman2012
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# `Title`: THE... | notebooks/Luhman2012.ipynb |
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# + [markdown] id="WAJ7lA2wuvR8"
# # 运行教程
#
# 1. 点击“修改... | google_colab.ipynb |
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# # 1. Libraries, Configuration, and Importing Queries... | notebooks/2.0-jmk-rerun_selenium_script_for_remaining_fbw.ipynb |
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import pandas as pd
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im... | notebooks/monitoring_analysis.ipynb |
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# ## Importing libraries
# +
import numpy as np
impor... | Read PDU data Codes/Saman_PDU_Raw_Reading_Data_04_NDVI_150x150.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# [View in Colaboratory]... | 20181009_9_kaggle_salt.ipynb |
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# # Functions And Software Development Workflow
# Some... | Spring2019/03_Programming_Style/Functions and Software Development Workflow.ipynb |
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import cv2
face_cascade = cv2.CascadeClassifier('... | OpenCV_Webcam_Face_Detection.ipynb |
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import numpy as np
import pandas as pd
# ## Plotting
... | python/3 - Plotting.ipynb |
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# # This script is designed to graph beacon times over... | Code/.ipynb_checkpoints/20200326_THE_WORKS_FS_Beacon_over_time. -checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | MarianVinasCopy_of_LS_DS_224_assignment.ipynb |
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# Installation of MDFT_nn needed
# !pip install git+ht... | notebooks/utility_functions.ipynb |
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import matplotlib.pyplot as plt
import numpy as np... | Chapter 6- Random Number Generation/Estimating the area x^2-x+1.ipynb |
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# + [markdown] toc="true"
# # Table of Content... | src/4 Understanding the decoupled transcriptomes.ipynb |
# -*- coding: utf-8 -*-
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# # TD 2 Titanic
sigmoid <- function(x) {
ret... | cours/reg_log_stid/TP/corrections/td2_reglog_2020.ipynb |
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# # Основные виды нейросетей (CNN и RNN)
# **Разработч... | 2018-spring/seminars/DL18_seminar3_models/DL18_seminar3.ipynb |
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# # Extract data from Prometheus measurements
# Tests ... | tests/Extract info.ipynb |
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# # 更多字符串和特殊方法
# - 前面我们已经学了类,在Python中还有一些特殊的方法起着非常重要的作... | 7.24.ipynb |
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# # Agenda
# - Vokabular
# - Reichhaltigkeit
# - Filte... | 15 Textanalyse Vertiefung Teil 1/1.2 Descriptives.ipynb |
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# # Using the World Bank APIs & the... | WB-API/WB-API.ipynb |
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import random
from IPython.display import ... | Notebooks/03_Functions.ipynb |
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# #### Import Python Libraries
import numpy as np
imp... | ApurvaNikade_Python.ipynb |
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# + hide_input=false run_control={"frozen": false, "re... | jupyter_notebooks/machine_learning/Scatter_Matrix_Example.ipynb |
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import matplotlib.pyp... | VehicleDetection.ipynb |
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## All the imports
# %matplotlib inline
# python ... | skin-cancer-detector-VGG16-Transfer-Style.ipynb |
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# # Example Query for Survival Probability of 1-hop Qu... | notebooks/babel/integrations/UnsecretAgent/Unsecret_Agent.ipynb |
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# ## Using SEP to detect objects in an image
# Import ... | SEP-Tutorial-Astropy.ipynb |
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import pandas as pd
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# Creating a s... | 3_prg/4_py/84_dat/pan07idx.ipynb |
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polyEval(coeffs, pt) = sum([coeffs[i] * pt... | IPYNB/03. Plot_comparison_results_Apr.ipynb |
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# ## Practice: Sentiment Analysis Classification
#
#... | Assingments/module05/students/module6_ir/practices/Practice_06.01_Classification.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | XLSR_Wav2Vec2_for_Indonesian_Fine_Tuning.ipynb |
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# # Basic Functions, Data Type and Modules
#
#... | Standard_Libraries/Standard_Libraries.ipynb |
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import numpy as np
import pandas as pd
from sklearn.pr... | .ipynb_checkpoints/Bank Marketing Benchmark-checkpoint.ipynb |
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# # Comparison of GALAH DR3 with APOGEE DR16 / OCCAM s... | validation/comparisons/comparison_clusters/GALAH_DR3_Comparison_Clusters.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Numpy.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Clase1.ipynb |
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# + ein.hycell=false ein.tags="worksheet-0" slideshow=... | notebook/plot-free-energy-vs-time-hvm-single-run.ipynb |
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import matplotlib.pyplot as plt
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import json
file... | zomato_hist.ipynb |
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import pandas as pd
dat... | w2/w2-Day_2/Pandas_filtering.ipynb |
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# ## 4. Visualize Data
#
# [
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# *Das [LGLN] stellt zahlreiche offene Geo... | Sentinel-2.ipynb |
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from collections import Counter
import mat... | hw02/main.ipynb |
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from IPython.display import display... | SEIRD_covid_model.ipynb |
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# # Deep Learning Project - Template for test accuracy... | Additional (older) notebooks/2021-03-12_Template_For_Test_Acc_version_Philipp_analysed.ipynb |
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# # Reconciliating a Categorical Field
# through an O... | experiments/reconciliation.ipynb |
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# + id="DRYfffL4k3yy" colab_type="code" colab={}
import speech_recognition as... | codebase/Speech2Text/SpeechToText-2.ipynb |
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# # Exercise: analyse a pulse using `pandas` and `nump... | exercises/1-NumpyIntroExercise.ipynb |
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-- --------------------------------------... | revisiting-monadic-parsing-haskell/RevisitingMonadicParsingHaskell.ipynb |
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// ## Path relat... | recommend-by-spark-als/notebook/ML_with_Spark-spark-1.6-scala-2.10.ipynb |
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# # Estimating the effect of a Member Rewards program
... | docs/source/example_notebooks/dowhy_example_effect_of_memberrewards_program.ipynb |
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# name: python37664bitbaseconda326caf25380443f... | notebooks/Gradient_Graph_Computation.ipynb |
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# + [markdown] id="6NZxp-tBaPmw"
# # Purpose
# The pur... | inst/model_development/notebooks/.ipynb_checkpoints/entity_extraction_three_variables-checkpoint.ipynb |
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import cv2
from sklearn import data... | added/logistic_regression.ipynb |
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# # NFL Data EDA
# ___
# The objectives of this notebo... | 4-EDA.ipynb |
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# # Concatenating multiple fea... | 01 Machine Learning/scikit_examples_jupyter/compose/plot_feature_union.ipynb |
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import os
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f... | inferencia_causal/trabalho_final/painel_partidos.ipynb |
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# # Non-Linear SVM - Email Spam Classifier
#
#
# In th... | 8. Machine Learning-2/3. Support Vector Machines/3. Kernels/.ipynb_checkpoints/Non-Linear+SVM+----+Email+Spam+Classifier-checkpoint.ipynb |
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# %matplotlib inline
from pyvista import set_plot_them... | examples/01-filter/flying_edges.ipynb |
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# **IntAct for yeast interactions**
#
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... | 1. Preprocessing/1. IntAct yeast.ipynb |
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# # This notebook serves as the validation... | benchmarks_tests/Performance_Loss_Functions_GPU.ipynb |
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from ipywidgets import Dropdown, Label, HBox
dropd... | 2020-01-09-PyData-Heidelberg/examples/debugger.ipynb |
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# # First I import necessary modules. I will use netwo... | Optimal Path Finder Using Reinforcement Learning.ipynb |
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# # Credible Threats - Life of Py(thon)
# By The Good,... | Credible Threats/dataproject/Monty Python.ipynb |
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products = graphlab.SFrame.read_csv('... | amazon_reviews.ipynb |
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csv_link = "htt... | jupyter/data.ipynb |
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# # Spam Analysis
# This notebook will contain the co... | preprocessor/Phase [1.a.3] Spam Analysis.ipynb |
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# # Feature-Extraction
# ## Theoretische Grundlagen, M... | Feature_Extraction__Demo.ipynb |