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# # Optimal Transport
# +
import os,random
import numpy a... | experiments/OptimalTransport.ipynb |
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# + [markdown] id="Tce3stUlHN0L"
# ##### Copyright 2019 The TensorFlow Author... | site/en/guide/mixed_precision.ipynb |
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# # Naive Bayes part-2
# ### Email Spam Detection usi... | Machine Learning/14. Naive Bayes 2.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Sketch... | samples/MNIST_VectorAE_SimplePolyConnect.ipynb |
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# # 电影影评情感分析
import warnings
warnings.filterwarnings(... | code/sentiment_analysis/demo.ipynb |
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# ### Load Model Class
# This page allows user to load... | docs/User_Guide/02_Load_Model.ipynb |
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# # Chef Recipe | How to cook a joke
# > A sim... | _notebooks/2021-11-18-nb_chef_recipe_jokes.ipynb |
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# # Spring-mass problem: tracking based on ... | examples/spring_mass_problem/Notebook_000_springmassproblem.ipynb |
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# %load_ext autoreload
# %autoreload 2
# + pycharm={"... | notebooks/run01-preprocess_data-Sanger.ipynb |
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# # histogram gradient boosting classifier model
#
# f... | notebooks/103_hist_gradient_boost.ipynb |
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# <h1> CREAZIONE MODELLO SARIMA ROMANIA
import pandas... | Modulo 5 - Analisi europea/nazioni/Romania/.ipynb_checkpoints/Romania modello SARIMA (mensile)-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | stockPrediction.ipynb |
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# Update sklearn to p... | model_1.ipynb |
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# +
import numpy as np
import pandas as pd
import scip... | notebooks/Math-appendix/information theory/mutual information - entropy estimators package exploration.ipynb |
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import pygmt
# First off, let's get the Earth relief ... | SOURCE_DOCS/coloring_topography/titicaca_pygmt.ipynb |
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# + [markdown] id="LYvAOR2VzHmW"
#
# **Diplomatura en ... | Entregable_Parte_2.ipynb |
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# # Serial Compressible Kolmogorov Flow Solver
#
# ## ... | 01-Serial-compressible-Kolmogorov-Flow.ipynb |
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"""
Mask R-CNN
Train on the toy Balloon dataset an... | samples/shapes/Eye.ipynb |
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# # Unrestricted Hartee-Fock
#
# The Hartree-Fock meth... | 03_advanced_SCF/uhf_diis_pyscf.ipynb |
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import shutil, os
import pandas as pd
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df = pd.rea... | test.ipynb |
# -*- coding: utf-8 -*-
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using FileIO
using Plots
u... | notebook/normalization-test-result.ipynb |
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# # DoWhy-The Causal Story Behind Hotel Booking Cancel... | docs/source/example_notebooks/DoWhy-The Causal Story Behind Hotel Booking Cancellations.ipynb |
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# + [markdown] id="5U1bPetVYK4G" colab_type="text"
# # Start Tensorflow with ... | starttf/examples/mnist_starttf_explanation.ipynb |
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# # Packages
import pandas as pd
import numpy as np
i... | notebooks/scripts_new.ipynb |
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# https://machinelearningmastery.com/semi-supervised-l... | code/semi-supervised.ipynb |
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# ## Read training grid locations from gt10a.shp file ... | patch-based/preprocessing/SimpleNet - Tensorflow - Preprocessing - 3Class.ipynb |
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# # Likelihood-free inference using Bayesian neural ne... | examples/inference/MA2/bnn_inference.ipynb |
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# + [markdown] application/vnd.databricks.v1+cell={"ti... | tutorials/Certification_Trainings/Healthcare/databricks_notebooks/10. Named Entity Recognition using rules.ipynb |
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# import necessary packages
import os
import matplotli... | Python/Prettig Wonen Factors.ipynb |
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# %pylab inline
from pandas import read_csv
from pand... | scripts/auto_lr/test_auto_lr.ipynb |
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# + [markdown] id="X4cRE8IbIrIV"
# If you're opening t... | examples/translation.ipynb |
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# %matplotlib inline
import pandas as pd
import matplo... | section5/StatsMod1.ipynb |
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# ## Exercise 2
# This exercise will walk you through ... | lectures/L4/Exercise_2-final.ipynb |
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sql(
'''
SELECT order_id,
date_f... | 12_window_function.ipynb |
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# +
import pandas as pd
data = pd.read_csv(r'E:\Pytho... | Data Visualisation/Data_visualisation_using_matplotlib.ipynb |
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import os
x = 0
for filename in os.listdir('DATA/... | Plotting tropomi data.ipynb |
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// [this doc on github](https://github.c... | notebooks/polyglot/Variable sharing.ipynb |
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# # ipymarkup
# Collection of NLP vizualizations for ... | docs.ipynb |
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# # Day 05
#
# Santa needs help figuring out which str... | day05.ipynb |
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# # Multivariate Linear and Logistic Regression with R... | weeks2&3.ipynb |
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lines = readlines("input")
dots = split.(filter(x... | 13/13.ipynb |
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# <img style="float: right;" src="data:image/png;base6... | 04 Running PCSE in batch mode.ipynb |
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# %reset -f
# %matplotlib inline
import pyross
import... | examples/forecast/notebooks-to-be-updated/ex13 - SEAI5R - UK- forecasting with interventions.ipynb |
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# + [markdown] origin_pos=0
# # Natural Language Processing: Pretraining
# :label:`chap_nlp_pretrain`
#
#
# Humans need to communicate.
# Out ... | d2l/tensorflow/chapter_natural-language-processing-pretraining/index.ipynb |
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# + active=""
# Text provided under a Creative Commons... | CFDPython/lessons-own/01_Step_1.ipynb |
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from sklearn.feature_extraction.text import TfidfVecto... | sprint3_retrieval/sprint3_demo.ipynb |
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import pandas as pd
import numpy as np
import seab... | src/Validation.ipynb |
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# # Synthetic Model
# Notebook to generate a set of ... | code/notebooks/synthetic_tests/model_multibody_shallow-seated/.ipynb_checkpoints/synthetic_model-checkpoint.ipynb |
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# # Lab 3 Minimizing Cost
# ## Lab03-3-minimizing_cos... | Python/tensorflow/DeepLearningZeroToAll/Lab03-3-minimizing_cost_tf_optimizer.ipynb |
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import findspark
findspark.init()
import pyspark
... | udemy_pyspark/Notebook_Test.ipynb |
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# # Analysis for Experiment 1
rm(list= ls())
library(dplyr)
library(lm... | Experiment 1. (B) Analysis.ipynb |
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import sys
sys.path.append('src')
from sklearn.me... | main.ipynb |
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# # Twitter Scraping Using TWINT
#
# Twitter i... | twitter_scraping/twitter_scrape_geo_year.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | notebooks/01. Audio, STFT, Melspectrograms with Python.ipynb |
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from difflib import SequenceMatcher
import... | Segmentation/Untitled.ipynb |
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# <i>Copyright (c) Microsoft Corporati... | examples/02_model_content_based_filtering/mmlspark_lightgbm_criteo.ipynb |
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# + [markdown] id="oKWhZWV7jwzX"
# # NYC Properties price prediction
# + [m... | NYC_Property_Price_Prediction.ipynb |
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# # 11장. 레이블되지 않은 데이터 다루기 : 군집 분석
# **아래 링크를 통해 이 노트북... | code/ch11/ch11.ipynb |
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# Clean up
# !hdfs dfs -rm -r -f /datasets /tmp
# !rm ... | projects/advanced/large_scale/ml_hdfs_intro_1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Deck of Cards
#
# > A minimal example of using nbd... | index.ipynb |
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# # Search Engine Implementation
#
# An implementatio... | similarily_ranking.ipynb |
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import fastf1 as ff1
from matplotlib import pyplot... | Notebooks/.ipynb_checkpoints/Telemetry Qualy-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# #%matplotlib inline
# %load_ext autoreload
# %au... | 1_carlita_train_DR_grid.ipynb |
# -*- coding: utf-8 -*-
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# # Exercise 1 - Brief introduction to R, Combin... | support_files/en/.ipynb_checkpoints/T1_Rintro-checkpoint.ipynb |
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with open('ms-en/translated-trainset-... | pretrained-model/mass/prepare-dataset-en-ms.ipynb |
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import os
import numpy as np
import seaborn as sns... | Analyse suivi global patients.ipynb |
# -*- coding: utf-8 -*-
# <!-- dom:TITLE: Data Analysis and Machine Learning: Support Vector Machines -->
# # Data Analysis and Machine Learning: Support Vector Machines
# <!-- dom:AUTHOR: <NAME> at Department of Physics, University of Oslo & Department of Physics and Astronomy and National Superconducting Cyclotron La... | doc/pub/svm/ipynb/svm.ipynb |
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Pkg.add("Plots")
using Plots
using Base.Dates
gr(... | trend_analysis/Julia ranking.ipynb |
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import argparse
from tqdm import tqdm
import os
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# # Model Development V2
# - Final model devel... | lab_notebooks/NYT-Magazine Classifier V2.ipynb |
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#<NAME>
#the intention is to put both ... | Pickling_Ultrasound_Data_2nd_approach.ipynb |
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# + [markdown] deletable=true editable=true
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# + [markdown] id="view-in-github" colab_type="text"
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# # Fundamental Concepts
#
# **Gather Business Require... | notebooks/kimball/chap01-fundamental-concepts.ipynb |
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# # Q-Learning in the GridWorld environment
# Q-learn... | Chapter21/02_gridworld_q_learning.ipynb |
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from ty... | NamesManipulation.ipynb |
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# # Data Chunk Wrangling
#
# #### This is the process ... | Data chunk wrangling.ipynb |
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#hide
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! [ -e /content ] && pip install -Uqq fast... | nbs/19_callback.mixup.ipynb |
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# # Analyzing with iNNvestigate
# **iNNvesti... | lib/innvestigate/examples/notebooks/introduction.ipynb |
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import numpy as np
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f... | notebooks/SI/S15_vary_n_time_traces_low.ipynb |
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# # Data Cleaning
# ### Dataset
# <br>
# Source: http... | 01_CustomerSegmentation_Cleaning.ipynb |
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# ## <NAME> Manufacturing
#
# > Can you cut the time a Me... | competitions/mercedes-manufacturing/mercedesEDA.ipynb |
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#export
from fastai.basic... | nbs/70_callback.wandb.ipynb |
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# ### The following are steps in using this mo... | PowerOutagePredictor/SVM/Example use of SVMClassifier.ipynb |
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# # Email from Python demo
#
# This notebook is based ... | scripts/demos/Email_from_python.ipynb |
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import numpy as np
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# Content:<br>
#
# * [1. Resampling - dimensionalit... | FinalProject_SpeechRecognition/src/eda/additional/2. Resampling and Feature Extraction.ipynb |
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# %matplo... | docs/Wind profile.ipynb |
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# ## TRIERES showcase
# ### Case study: Give an input ... | actions/hls_helloworld_python/sw/trieres_helloworld.ipynb |
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# title: This is a Knowledge Template Header
# authors:
# - sally_smarts
# - wesley_wisdom
# tags:
# - knowledge
# - example
# created_at: 2016-06-29
# updated_at: 2016-06-30
# tldr: This is short description of the content and findings of the post.
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'''
Control Flow
'''
# +
# Variable
age = 21
# if St... | 01 Introduction to Python/03_control Flow.ipynb |
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# %matplotlib inline
import geopandas as gpd
imp... | ipynb/Create_chloropleth_map_of_water_area_per_county.ipynb |