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# <font size="+3">BobbleBot Controller An... | analysis/notebooks/CgPlacement/CgAnalysis.ipynb |
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# %load_ext autoreload
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import xarray ... | nbs_probabilistic/04-implement-parametric.ipynb |
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# name: conda-env-PRO... | workflow/xrd_bulks/plot_xrd_patterns/plot_xrd_patterns.ipynb |
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# This notebook was prepared by [<NAME>](https://githu... | online_judges/license_key/format_license_key_solution.ipynb |
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# # Final project: StackOverflow assistant bot
#
# Con... | week5/week5-project.ipynb |
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# ### OSKAR System noise testing
#
# This is an simple... | doc/ipython_notebooks/uncorrelated_system_noise.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | 10_pipeline/02_Evaluate_Pipeline_Execution.ipynb |
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# + [markdown] id="vLSN7SzBJNm_"
# # 4. Data Preprocessing
# In this part, we... | 4_data_preprocessing.ipynb |
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import importlib
import pickle
import pandas as pd
imp... | notebooks/de/6_evaluation.ipynb |
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from __future__ import division, print_function
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# -*- coding: utf-8 -*-
# In this script we use a... | 4_simple_models/interactive_scripts/naive_bayes_guassian_under_sampling.ipynb |
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import pandas as pd
import numpy as np
import ma... | time_series_forecast/7 methods to perform Time Series forecasting (with Python codes).ipynb |
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# title: "7. Data Viz 3 - Visualizing Point Patterns"
# output: html_document
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#
# ## Assignment Objectives
#
# By the end of this practical lab you will be able to:
# * Create
# - binning
# - kde
#
# We will first read some crime data into R for the [City of Chicago, USA](https://data.cityofchicago.org/v... | notebooks/P7_Mapping_Points.ipynb |
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# # The Implicit Backward Time Centered Space (BTCS) D... | Chapter 08 - Heat Equations/.ipynb_checkpoints/03_Heat Equation-Crank_Nicolson-checkpoint.ipynb |
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import numpy as np
import seaborn as sns
from db.DataA... | NN Statistics.ipynb |
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# %pylab
import pandas as pd
import glob as glob
# **... | notebooks/create_db/create_birka_database.ipynb |
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# # Filtering Comprehensions
#
# +
# checking prime o... | 06.Core Python - Getting Started/09.Filtering Comprehensions.ipynb |
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# + pycharm={"is_executing": false}
import torch
impor... | SL2Equivariance/training.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | Ref/fig4_smoking_data_train30_test70/3predict_hidden_eps07eps09.ipynb |
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# # SSD300 Training Tutorial
#
# This tutorial explain... | ssd300_training.ipynb |
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# ## Analyzing bias web communities using word embeddi... | Report.ipynb |
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# # Clustering for SP detection
#
# Will likely need ... | research_notebooks/generating_multiple_views.ipynb |
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import pandas as pd
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from csyn... | silodemos/.ipynb_checkpoints/non_census_synthesis-checkpoint.ipynb |
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# # TensorFlowと共に使ってみよう
#
# 以下のような宣言を一番先にしておくと便利。
# %... | sample/ch5/tensorflow-test.ipynb |
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# # A hydro-thermal power system
# The Brazilian inter... | examples/hydro_thermal/quick_start.ipynb |
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from lib import transient
from imp import reload
r... | Analysis Tests.ipynb |
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# Attacking PPD trained on MNIST
# ===
# This Notebook... | Adversarial Attacks/MNIST/new_dense_ensemble_load.ipynb |
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# # Water Interoperability Similarity
#
# * **Products... | Water_Interoperability/water_interoperability_similarity_v1-clean.ipynb |
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# # <center>Prepare Lab of 2nd Exercise</center>
# ##... | Lab2/prepare_lab/prepare_lab2.ipynb |
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# # VAE on MNIST dataset
# In this homework, we play ... | homework/vae_example.ipynb |
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import burdock
import sklearn.datasets
import pandas ... | samples/DP_SQL_sklearn_dataset.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | SpellChecker.ipynb |
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# Setting the random seed, feel fre... | lessons/neural_networks/Untitled.ipynb |
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# # Import Modules
# +
import os
import glob
import p... | Figure3/BREGFPIntensity/.ipynb_checkpoints/20191007_BREGFPAnalysis-checkpoint.ipynb |
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# ![HSV-A... | notebooks/ECommerce-Tuning.ipynb |
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# # Intro to pandas
#
# #### Review and Outline
#
# G... | book_notebooks/.ipynb_checkpoints/intro_to_pandas-checkpoint.ipynb |
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# # Critique of a Data Product (Annual Report)
#
# > C... | _notebooks/2018-11-07-DataProductCritique.ipynb |
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# # Objective:
#
# Using different classification mo... | Classifier.ipynb |
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# # Call Detectron2 over API (Segmentation Example)
#... | calling-detectron2-flask-api-example.ipynb |
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# default_exp core
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# # Make finger-tapping... | experiment-3/make_fingertapping_ROIs_for_power_analysis.ipynb |
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# + [markdown] tags=[]
# Docker image:
# `sipecam/hsi-... | simple_pipeline/notebooks/simple_pipeline.ipynb |
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# # Comparing machine learning models in scikit-learn
... | scikit-learn-videos/05_model_evaluation.ipynb |
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# # Parsing PSS/e `*.RAW` Files
# **Originally Co... | docs/notebook/2_PowerSystems_examples/03_parse_psse.ipynb |
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import os
os.chdir('models')
# !pwd
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from modules_... | models/.ipynb_checkpoints/vis-checkpoint.ipynb |
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# + [markdown] id="1C-PE8R83XdV"
# # SQuAD_Dataset
# # Learning Phrase Repre... | LanguageModelling-EncoderDecoderAttention/src/SQuAD-dataset/END_NLP_Class_9_Assgn_SQuAD_Dataset - RNN_Encoder_Decoder_for_ML.ipynb |
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# # Visualizing event horizon and ergosphere of Kerr b... | docs/source/examples/Visualizing_event_horizon_and_ergosphere_of_Kerr_black_hole.ipynb |
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# <img src="../images/QISKit-c.gif" alt="Note: In orde... | 2_quantum_information/superdense_coding.ipynb |
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from sklearn import datasets
from IPython.display impo... | pycampExer/iris_dataset.ipynb |
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# + [markdown] id="AuxeC8xuDlPY" colab_type="text"
# *... | AIDevNepal/Pandas-2.ipynb |
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# # Additional Usage with psycopg2
#
# ### Imports
# `... | samples/apache-age-additional.ipynb |
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# # Solutions to Agave OAuth Exercises
#
# +
# import... | docs/day2/notebooks/Solutions_Agave_OAuth.ipynb |
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# # Computing mass functions, halo biases and concentr... | Halo-mass-function-example.ipynb |
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# # ELAIS-N1 master catalogue
# ... | dmu1/dmu1_ml_ELAIS-N1/1.1_INT-WFC.ipynb |
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import numpy as np
np.random.seed(42)
from sklearn.da... | Chapter5_Regression/SimpleLinearRegressionImplementation/LinearRegression.ipynb |
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######################################... | Chapter_6/.ipynb_checkpoints/Section_6.4.1-checkpoint.ipynb |
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# # Project - Power of Encodings and Operators in NAS... | assignment_6/Assignment_6_Neuroevolution_[solutions]-Copy1.ipynb |
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import numpy as np
import pandas as pd
# viz
import ma... | notebook/2020.03.25_analyze_feat_sel.ipynb |
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# plots of SOG model run
# - 1100 x 10 x 101 domain
# ... | Elise/plotResults/plot-run_SOG_00-codeTest.ipynb |
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from SimPEG import *
from SimPEG import EM
from pymats... | notebook/SusEffects.ipynb |
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# # Practical Deep Learning for Coders Cou... | _notebooks/2022-04-26-fastai-51.ipynb |
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# Functions used:
#
# 1. pd.read_csv
#
# 2. .head() an... | Data-Science-HYD-2k19/Projects/codes/PROJECT 1 (Jupiter ) ( Bank Nifty )/Merge BankNift and Data/Merge Day1 and Day2.ipynb |
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import matplotlib.pyplot as plt
from sklearn.datasets ... | SVM/Notebooks/2.4_a.ipynb |
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import pandas as pd
import pygal
from pygal.style impo... | Line-Chart-SVG.ipynb |
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# # **Gaussian Processes**
#
# Notebook ve... | R6.Gaussian_Processes/.ipynb_checkpoints/GPs-checkpoint.ipynb |
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# # How to create STAC Catalogs
# ## STAC Community S... | docs/tutorials/how-to-create-stac-catalogs.ipynb |
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# + [markdown] colab_type="text" id="DnLV1HUefFtW"
# #... | catboost/tutorials/events/2020_06_04_catboost_tutorial/text_features.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | topical_chats.ipynb |
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# # 文字识别
# + active=""
# 第一步、导入库
# -
# -*- coding: U... | 课程汇集/虚谷号内置课程目录/9.人工智能综合应用/03.手写数字识别/.ipynb_checkpoints/文字识别-checkpoint.ipynb |
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import os
CUSTOM_MODEL_NAME = 'my_ssd_mobnet_tuned3'
PRETRA... | 1. Installation Master Script.ipynb |
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import PyPDF2
import glob
import os
def merge_pdf_in... | notebook/pypdf2_merge_dir.ipynb |
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# Import relevant packages
import pandas as pd
import ... | Analyzing the popularity of data science tools using Stack Exchange API.ipynb |
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# ## Comparing, Reconciling, and Combining COVID-19 Da... | gs_quant/documentation/00_data/covid/Comparing, Reconciling, and Combining COVID-19 Data Sources.ipynb |
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# %matplotlib inline
#
#
# Euler deconvolution with a... | _downloads/euler_moving_window.ipynb |
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# ## Scraping LQ45 IDX Stock Price using DataReader
#... | scrap_stock_price.ipynb |
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# # Finding the Data
#
# We need to install [newsapi-p... | 1 - Finding the Data.ipynb |
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import sys
import... | notebooks/archive/changing-distributions.ipynb |
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## what is pandas loc method based on label
## what is... | 15_Pandas loc and iloc.ipynb |
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from examplecode.example import DirectoryTree
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dir... | tools/filetree_example.ipynb |
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# tgb - 11/13/2019 - Testing if rescaling the inputs c... | notebooks/tbeucler_devlog/028_Physical_inputs_experiments.ipynb |
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# # Binning
#
# This notebook shows the code to implem... | code_examples/binning.ipynb |
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# # Tarea 1: Semana 1
#
# <img style="float: right; ma... | Semana1/Tarea1.ipynb |
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# ## 3.5 The Lexical-Analyzer Generator Lex
# ### 3.5... | 03/3.5.ipynb |
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# # Applying depth cuts to CCD files ... | doc/nb/making-dr8-depth-cuts.ipynb |
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total=0
for itervar in [3,41,12,9,74,15]:
total = ... | Untitled.ipynb |
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# ... | notebooks/02_nlp_model_tests.ipynb |
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# # Transformer, Self-Attention и моделирование языка
... | task5_text_transformer.ipynb |
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# + id="Awq8sMaIFHJ1"
# Install Model maker
# !pip install -q tflite-model-ma... | TextClassificationOnMobile/colabs/SpamCommentsModelMaker.ipynb |
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# # 2D ring resonator
#
# See on [github](https://gith... | RingResonator.ipynb |
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# ## Our Mission ##
#
# You recently used Naive Bayes ... | Supervised_Learning/Spam_&_Ensembles.ipynb |
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import bibtexparser
from collections import defaultdic... | scripts/.ipynb_checkpoints/data_exploration-checkpoint.ipynb |
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from pykat import finesse
from pykat.com... | Fabry Perot Cavity/HG_resonance_v1.1.ipynb |
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import numpy as np
class NeuronCell(object):
def... | Brain01.ipynb |
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import matplotlib.pyplot as plt;
import numpy as n... | Matplotlib - Crash Course/Matplotlib Crash Course.ipynb |
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# # Implementing Adaline Model
import numpy as np
imp... | .ipynb_checkpoints/Adaline-checkpoint.ipynb |
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# # Classifier for Inception Score
#
# by <NAME> ... | Inception_Classifier_Maxout.ipynb |
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# # Hello World, `pyhf` style
# **Two bin counting ex... | docs/examples/notebooks/hello-world.ipynb |