code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# # Interacting with a Car Object
# In this notebook,... | 4_5_State_and_Motion/1. Interacting with a Car Object.ipynb |
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# # Preparing data and publishing with Quilt
# ## Get... | us_census_commodity_flow_2012.ipynb |
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# # Histogramming, grouping, and binning
#
# ## Overvi... | docs/user-guide/binned-data/histogramming-grouping-and-binning.ipynb |
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import numpy as np # linear algebra
import pandas as p... | US Housing ML/workbook.ipynb |
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# # Python Crash Course Exercises
# ## Exercises
#
#... | Tutorial-0_Python-Introduction/python-basics/Python Crash Course Exercises.ipynb |
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# # My python code is too slow? What can I do?
import... | fastpy.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="y-sdyEpGKPZJ" execution... | SDC_13/Part1_Erick_Casanova.ipynb |
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import pandas as pd
import numpy as np
imp... | Code/Visualization Dashboard/EDA_topics.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | tweepy.ipynb |
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# # Implementing a Route Planner
# In this project you... | 04-advanced-algorithms/xx-project/project_notebook.ipynb |
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import numpy as np
import p... | notebook/dbscan.ipynb |
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# ## Exercise 2 - Running a power flow cal... | exercises/02_power_flow_and_scenario_data.ipynb |
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import numpy as np
import keras
import tensorflow as t... | HW2_CNN/Autoencoder.ipynb |
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from matplotlib import pyplot as plt
from skimage... | backup/11.sklearn1.ipynb |
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from glob import glob
import pandas as pd
for pat... | module2-gradient-boosting/Unit 2 Sprint 8 Gradient Boosting Assignment.ipynb |
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# # Predicting House Prices - A case study with SciKit... | intro-to-ds/3_ames_housing_case_study.ipynb |
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from keras.models import Sequential
from keras.layer... | notebooks/keras.ipynb |
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import pandas as pd # data processing, CSV file I/... | 8 Dance form/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# + id="sPD4xO8RETK9"
import numpy as np
import pandas as pd
import matplotli... | Model.ipynb |
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# # Secondary Structure Elements Word2Vec Encoder Demo... | demos/ml/SecondaryStructureElementsWord2VecEncoder.ipynb |
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# # Introduction to Jupyter notebooks <img align="righ... | notebooks/01_Beginners_guide/01_Jupyter_notebooks.ipynb |
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import numpy as np
import xarray as xr
import m... | copy_akwilson/Untitled.ipynb |
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#... | module1-statistics-probability-and-inference/LS_DS_131_Statistics_Probability_and_Inference.ipynb |
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# # Sensors Mezzanine Card Examples
#
# In this notebo... | Ultra96/sensors96b/notebooks/sensors_mezzanine_examples.ipynb |
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import cv2
from PIL import Image
... | Task 4/Code/Output3.ipynb |
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# # Estimation of population parameters
#
#... | docs/source/tutorial/estimation.ipynb |
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# # Remote Sensing Hands-On Lesson, using TGO
#
#
# ... | lesson_remote_sensing/remote_sensing_tgo_py.ipynb |
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import pandas as pd
df = pd.read_csv('adult.csv')
df... | Lectures notebooks/(Lectures notebooks) netology Machine learning/8. Model accuracy assessment, retraining, regularization/adult_penalty_C.ipynb |
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# ### Introduction
# One of the most important variab... | Alternative Highway and Transit Skims from Google Maps API.ipynb |
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# %config IPython.matplotlib.back... | lightcurve.ipynb |
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# # Data description:
# I'm going to solve the Intern... | Time Series Analysis with ARIMA and Recurrent Neural Nets/Airline Passengers prediction (with Seasonal ARIMA).ipynb |
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from saem import CSEMDa... | examples/3LayerCase.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Chapter 4/Exersize 6. Using k-nearest neighbor to find outliers.ipynb |
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# # CSYE7245 - Big Data Systems & Intelligent Analytic... | Anomaly detection in videos/.ipynb_checkpoints/portfolio-checkpoint.ipynb |
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# + [markdown] id="GGO0xH36G_BI"
# # Summer Olympics D... | Summer Olympics/Summer.ipynb |
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import numpy as np
import pandas as pd
from sklearn.pr... | Machinelearning_projects_for_begineers/Loan_prediction_RandomForest.ipynb |
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# #### 카카오 로컬 API
# - https://developers.kakao.com/
# ... | etc/crawling/200626_api_kakao.ipynb |
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from sectional... | oas_dev/notebooks/eusaari/02-04-NRMSE/02-04-RMSE.ipynb |
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import casadi as csd
import numpy as np
import pandas ... | ABCD_parmest_multiexp.ipynb |
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# # Materialien zu <i>agla</i>
#
# Autor: <NAM... | agla/mat/sechskant.ipynb |
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import numpy as np
import pandas as pd
from emulator.m... | Note-6 A3CNet/Note-6.2 A3C与HS300指数择时/.ipynb_checkpoints/估值修正-checkpoint.ipynb |
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import numpy as np
import os
import pandas as pd
i... | notebooks/CEMS Analysis.ipynb |
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# # U.S. Inaugural data
# 1. A list of 1 or more contextual datasets you have... | files/final_dv_part3.ipynb |
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# <img src="images/logo.jpg" style="display: block; ma... | week6/3_Comprehensions.ipynb |
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# + [markdown] colab_type="text" id="b7B6AwHJ4f0F"
# #... | notebooks/Project_Tutorial.ipynb |
// -*- coding: utf-8 -*-
// # Automatic generation of Notebook using PyCropML
// This notebook implements a crop model.
// ### Domain Class PhenologyAuxiliary
// +
#include "PhenologyAuxiliary.h"
PhenologyAuxiliary::PhenologyAuxiliary() { }
string PhenologyAuxiliary::getcurrentdate() {return this-> currentdate;... | test/Models/pheno_pkg/test/cpp/Phyllochron.ipynb |
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# A version of this should be written for magcolloids
... | docs/ForcesOfTheSimulation.ipynb |
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import pandas as pd
import datetime as dt
import pickl... | notebooks/Percent of stops each race .ipynb |
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# + raw_mimetype="text/restructuredtext" active=""
# .... | doc/source/operators/crossover.ipynb |
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# %%capture
import os
import site
os.sys.path.inse... | notebooks/fft-same-chan-amp-phase-dims/.ipynb_checkpoints/1x1Conv-checkpoint.ipynb |
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# # Tokenizatio... | notebooks/tokenization/Tokenization naive.ipynb |
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# # 回転の推定II:異方性誤差
# +
from pathlib import Path
import... | notebooks/anisotropic_error.ipynb |
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# + [markdown] nbgrader={"grade": false, "locked... | python_HW1_kNN.ipynb |
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# # Making Words-Network
# Implement social network f... | corpus/WordNetwork.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | Lesson04/Exercise48-51/Subsetting_Filtering_Grouping.ipynb |
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... | exercises/2.38.ipynb |
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# # Parsing and Inspecting PDDL problems
#
# Let's use... | docs/notebooks/parsing-and-inspecting-pddl.ipynb |
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# + [markdown] colab_type="text" id="PsWDAqI0EFMo"
# h... | chapter03/Spotting fraudster communities.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/Cleaning_to_get_correct_sector_and_District_IDs.ipynb |
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# <hr style="height:.9px;border:none;color... | Ramu_Sneha_Regression_Analysis.ipynb |
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# ###### Validation:
# 1. Generate all keys into excel... | utils/localisation_script/all_keys_generator/AllKeysExcelGenerator.ipynb |
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'''
Using a neural network to learn to speak like ... | Apollo 11 Neural Network.ipynb |
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# # Analysis of COVID-19 in UK, GER, FR, IT, GR and BG... | COVID19.ipynb |
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from text import text_to_sequence
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# + colab={"base_uri": "https://localhost:8080/"} id="SJrk6FVJklcr" outputId=... | deep.ipynb |
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import sys
sys.path.insert(0, '../scripts/')
impor... | examples/CWL-Weights-Notebook.ipynb |
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#Usar pca para deixar apenas os 15 principais componentes
imp... | RandomForest/RandomForestExerc.ipynb |
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# # Simulating PSF variation within JWST instruments
#... | notebooks/Simulating PSF variation within JWST instruments.ipynb |
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# # <center/>将数据集转换为MindSpore数据格式
# ## 概述
#
# 用户可以将非标... | tutorials/notebook/convert_dataset_to_mindspore_data_format/convert_dataset_to_mindspore_data_format.ipynb |
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# #### 1. Which command can be used to encrypt all pas... | Coursera/Cisco Networking Basics Specializations/Course_5-Introduction_to_Cisco_Networking/Week-3/Quiz/Week-3-Quiz.ipynb |
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module Huffman
... | huffman.ipynb |
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# # Demonstrate impact of whit... | 0.16/_downloads/plot_covariance_whitening_dspm.ipynb |
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# + id="Ym70RJOyiMm_" executionInfo={"status": "ok", "timestamp": 16168127477... | Experiments/goes/netCDF_download.ipynb |
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# # Heaton_6594_201110A5 - rna_seq
# This notebook wil... | Heaton_6594_201110A5.ipynb |
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# # Choosing the backend
# *echelle* provides support... | docs/notebooks/backend.ipynb |
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import scipy.io
import matplotlib.p... | Homework2/Question1.ipynb |
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# # Logistic Regression with Implementation
# ## Intr... | notebook/logistic_regression.ipynb |
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# ### Weighted covariance matrix
# Calcula... | src/covw.ipynb |
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# # Project - Programming for Data Analysis
# ***
#
#... | Programming for Data Analysis - Project.ipynb |
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# This analysis was requested to help inform some disc... | Analysis.ipynb |
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df... | sub_7.ipynb |
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# # Universidad Tecnologica Nacional
# # Ingeniería In... | Puzzles de Probabilidad - IO - UTN FRBA.ipynb |
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# + [markdown] nbgrader={"grade": false, "grade_id": "... | Week 02/SLU04 - Data Structures/Solutions notebook.ipynb |
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# # Logistical Regression - Assignment #2
# In this ju... | logistical_regression/notebook/Logistical Regression - Assignment 2.ipynb |
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# ## Welcome to Week 4, Single Cell RNA (cont.)!
#
# ### This week, we'r... | wk4_scRNA-multimodal/4_scRNA_multimodal_R_Seurat.ipynb |
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# queue: FIFO 구조로 데이터를 저장
# 리스트를 통해 queue를 구현할 경우
... | data-structure/queue.ipynb |
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# + [markdown] id="XViM8k_IAEYV"
# ## Parte 3 - IC -IBRA
# + [markdown] id="... | part3test.ipynb |
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# Dependencies and Setup
import pandas as pd
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# The NREL S805 airfoil and the rest of the family hav... | S805 Basic Airfoil Polar/S805-Basic-Airfoil-Polar.ipynb |
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## poisson mixture model
# %load_ext autoreload
... | notebooks/example_pmm.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/cgc-1.2-BERT_With_HuggingFace(add_other_label).ipynb |
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# ## Training a Classifier based on TResNet
# To follo... | example/quickstart.ipynb |