code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# # Q1
my_name= 'molly'
print (my_name)
# # Q2
my_i... | Lab2.ipynb |
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# %reload_ext autoreload
# %autoreload 2
# %matplo... | doc/ClusterCells.ipynb |
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# ## Clustering with K Mean... | 8_k_means_clustering.ipynb |
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# # Import pacakage
# +
import torch
import torch.nn ... | AutoEncoder/AE.ipynb |
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# # Cryptolytic Arbitrage Modeling
#
# ... | modeling/arbitrage_modeling2.ipynb |
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# # VacationPy
# ----
#
# #### Note
# * Instructions h... | WeatherPy/VacationPy.ipynb |
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import pandas as pd
import numpy as np
import sqlite3 ... | Old/Python_DB_notebooks/Old/input_params.ipynb |
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# ## Sending programs over the wire
#
# Logic can be s... | Notebook_02_Programs.ipynb |
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# !pip install --upgrade pip
# !pip install descartes
... | KML_ploygons.ipynb |
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# # <img style="float: left; padding-right: 10px; widt... | content/lectures/lecture2/notebook/Lecture2_Notebook.ipynb |
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# ## Valid customer IDs
#
# Simon runs a pharmaceutica... | Hypothesis Coding Practice.ipynb |
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# ### 
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# + [markdown] id="d89dfe26" toc=true
# <h... | code/history_backup/NN_based_models_Deep_tfidf+onehot+Ngram.ipynb |
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# # Property calculation with cubic EoS
#
# First it i... | examples/2. Property calculation from Cubic EoS.ipynb |
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# + [markdown] id="TvpF7wM34qK4"
# # ORF307 Precept 9
... | precepts/09_precept/09_precept.ipynb |
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# + [markdown] button=false new_sheet=fals... | notebooks/GrammarCoverageFuzzer.ipynb |
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import dask.dataframe... | benchmarks/data-cleaning.ipynb |
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import xl
from utils import *
import tensorflow as tf
... | text-classification/64.transformer-xl.ipynb |
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# # Write Number in Expanded Form
#
# ### Problem Stat... | Write Number in Expanded Form.ipynb |
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import os, time
import numpy as np
import logging
... | lu/Untitled.ipynb |
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# # Imports
from sqlalchemy import text
from sqlalche... | spark/notebooks/Template SQLAlchemy.ipynb |
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# # Celebrity Quote Analysis with The Cognitive Servic... | notebooks/samples/CognitiveServices - Celebrity Quote Analysis.ipynb |
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# # HAAR DWT2
from jax.config import config
config.u... | comparison/pylops/wavelets/haar_dwt2.ipynb |
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# # Rolling Update Tests
#
# Check rolling updates fun... | notebooks/rolling_updates.ipynb |
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# # Comparison of PyBaMM and COMSOL Discharge Curves
... | examples/notebooks/compare-comsol-discharge-curve.ipynb |
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# # GPR
# Lead Developer: <NAME>
#
# Co-developers: <N... | book/tutorials/gpr/gpr.ipynb |
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# <p align="center">
# <img src="https://github.co... | SubsurfaceDataAnalytics_Lasso.ipynb |
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# # Meta Models
#
# Certain models in scikit-lego are ... | doc/meta.ipynb |
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import pandas as pd
import numpy as np
from pathlib i... | notebooks/lgbm_experiment_1.ipynb |
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import kutils
from kutils.model_helper import Mode... | koniq/train_deeprn.ipynb |
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# # **CSE 7324 Lab 3: Extending Logistic Regression**
... | Project3/Project3.final(modified2).ipynb |
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# # Introducing fastpages
# > An easy to use blogging ... | _notebooks/2020-02-21-introducing-fastpages.ipynb |
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# # Export a dynamical decoupling sequence to pyQuil
#... | examples/export-a-dynamical-decoupling-sequence-to-pyquil.ipynb |
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# # Welcome to the course!
# ## 1. Importing entire t... | 5. Importing Data in Python (Part 1)/Ch_1_Importing_Data_in_Python_(Part 1)/Ch_1_Importing_Data_in_Python_(Part 1).ipynb |
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# + [markdown] colab_type="text" id="socSJe925zFv"
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import numpy as np
invcov=np.array([[2,1,0],[1,2,... | experiments/experiment_10/Exp10.ipynb |
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import tensorflow.keras.utils
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from keras.layers i... | 02 CNN Initial.ipynb |
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# # How to make configurations
#
# For FuxiCTR v1.0 on... | tutorials/v1.0/4_how_to_make_configurations.ipynb |
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# # Chinese text summarization algorithm
# ### www.Kud... | topic_summary/dated/topic_summary_chn_exp_v007.ipynb |
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# # From [Interferometry Primer notebook](https://gith... | notebooks/Justin's Notes/Interferometer Primer.ipynb |
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# + [markdown] id="WBk0ZDWY-ff8"
# <table align="center">
# <td align="cent... | MIT6S191/Lab1/Copia_de_Part1_TensorFlow.ipynb |
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import os
import pandas as pd
import numpy as np
from lif... | Notebooks/.ipynb_checkpoints/Survival_analysis-checkpoint.ipynb |
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# ## Transmission-Distribution Power Flow Co-simulatio... | ANL-TD-Iterative-Pflow/runtdpflow.ipynb |
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file_names = dict()
file_names["a"] = "a_example.txt"
... | submission.ipynb |
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import sys
from pathlib import Path
AVES_ROOT = Path("..... | notebooks/900-vs-Chilote-avecindados.ipynb |
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# + [markdown] id="gf3sDlIrDfl6"
# # Multi-Class Classification
# + id="np1n... | notebooks/mini-projects/keras-fashion_mnist-multi_class-classification_tf.ipynb |
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# # CK+ Results
# +
import matplotlib.pyplot as plt
i... | analysis/CKPLUS_Results.ipynb |
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# + active=""
# <style>
# pre {
# white-space: pre-wr... | docs/source/tutorial_ml.ipynb |
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# # Disorder variable
#
# In this example, [dis... | examples/04_disorder_parameters.ipynb |
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# ## Data Augmentation - `TensorFlow`
# A technique to... | tf-data-argumentation/.ipynb_checkpoints/01_Data_Augmentation-checkpoint.ipynb |
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# name: conda-env-multiplexed_segmentati... | subworkflows/prepare_data/workflow/notebooks/99_find_crop_coordinates.ipynb |
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from pyo import *
import wx
print("Audio host APIS:")... | exploring_music_generation.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | mid_term_implementation_22.ipynb |
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import csv
import torch
import numpy as np
import matp... | paper/Cable_equation/old/cable_data.ipynb |
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# + deletable=true editable=true
import numpy as np
fr... | examples/Marks/Object Model/Bins.ipynb |
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# %matplotlib inline
import matplotlib
matplotlib.rcPa... | Notebooks/testing cmp.ipynb |
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from skimage.future import graph
rag = graph.rag.rag_boundary(labels,edges,connectivity=2)
labels_merged = graph.cut_threshold(labels, rag, 0.... | TutorsOnly/code_snippets.ipynb |
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# # 06 Extras
# ### Zusätzliche Basisfunktionen
# * %... | 02 Python Teil 1/06 Extras.ipynb |
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# # Hyperparameter Tuning... | hyperparameter_tuning/mxnet_mnist/hpo_mxnet_mnist.ipynb |
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# + id="0f-ewnQs55UL"
from __future__ import print_fun... | final_kernels_project_blank/.ipynb_checkpoints/prob2-checkpoint.ipynb |
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# # MNIST training with PyTorch
#
# MNIST is a widely ... | frameworks/pytorch/get_started_mnist_train.ipynb |
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# # Polygon drill <img align="right" src="../Supplemen... | Frequently_used_code/Polygon_drill.ipynb |
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# ## MFEM Example 1
#
# Adapted from [PyMFEM/ex1.py]( ... | examples/ex1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Sentiment_Analysis.ipynb |
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# Import libraries
import pandas as pd
import num... | .ipynb_checkpoints/One Way ANOVA Test-checkpoint.ipynb |
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# # Reading and Writing Files in Python
# In... | 01.Python/Python_03_Read_and_Write_Files.ipynb |
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# # 네이버 플레이스
#
# ## 업체의 가게설명과 리뷰 데이터
#
# [... | example/naverplace.ipynb |
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def unit_sort(ele):
return str(ele)[-1... | notebooks/sort the list on the ascending order of the ones place digit elements .ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Explor... | notebooks/02-fz-cedefop-exploration.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Week3_ageregression_sexclassification.ipynb |
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import cadquery as cq
from jupyter_cadquery impor... | examples/assemblies/1-disk-arm.ipynb |
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import os
PROJECT = "PROJECT" # REPLACE WITH YOUR ... | courses/machine_learning/asl/open_project/time_series_anomaly_detection/tf_lstm_encoder_decoder_autoencoder/lstm_encoder_decoder_autoencoder_anomaly_detection_gcp.ipynb |
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# <a href="https://colab.research.google.com/github/Te... | study_roadmaps/3_image_processing_deep_learning_roadmap/3_deep_learning_advanced/1_Blocks in Deep Learning Networks/9) Resnext Block (Type - 1).ipynb |
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# # Twitter data mining using Python assignment 14
# ... | Lesson14/Twitter assignment.ipynb |
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# # Generalized Least Squares
import statsmodels.api ... | docs/source2/examples/notebooks/generated/gls.ipynb |
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# hash: aee8b7b246df8f9039afb4144a1f6fd8d2ca17a1... | docs/examples/12-external-plugins.ipynb |
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import requests
import re
import bs4
import time
from ... | initial.ipynb |
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import pandas as pd
import numpy as np
# +
# read dat... | data_preprocessing/data_source_comparison/.ipynb_checkpoints/PUFF_EPISODE_analysis-checkpoint.ipynb |
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# %matplotlib inline
#
#
# Source localization with M... | stable/_downloads/597e5dfe47820d56eb232e93bcc62128/plot_mne_dspm_source_localization.ipynb |
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# _You are currently looking at **version 1.0*... | Applied Machine Learning in Python/Module+1.ipynb |
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# ## Wikigap 2021 report ([source code](ht... | wikigap-2021-report.ipynb |
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# <img src="..\..\..\pics\panda2.jpg" wi... | advanced-scripting-with-the-arcgis-api-for-python-eu-dev-summit-19/SPATIALLY ENABLED DATAFRAME.ipynb |
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# <i>Copyright (c) Microsoft Corpora... | notebooks/02_model/fm_deep_dive.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | Pretrained models.ipynb |
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# # ML Pipeline Implementation
# ## 1. Import librarie... | ML_Pipeline.ipynb |
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from keras import layers, models, optimizers, metrics,... | series/getting_started/2. Recognize clothes images.ipynb |
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# + [markdown] id="ezGUEDo1vG4F" colab_type="text"
# ## In this notebook, we ... | mnist_interpretation.ipynb |
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# # Web Scraping with BeautifulSoup
# ### But first..... | notebooks/BeautifulSoup.ipynb |
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# + [markdown] id="9dzs83hUZmWt"
# **Business Problem** : You work for a Hedg... | StockPrice_Prediction_TimeSeriesAnalysis[RealData]_UsingAuto_Arima.ipynb |
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# # WeRateDogs Twitter Feed
# This project looks at v... | wrangle_act.ipynb |
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# ## Introduction
#
# This notebook accompanies the pa... | paper/notebook.ipynb |