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# # Input option `group_by`
... | src/user_guide/group_by.ipynb |
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# URL: http://bokeh.pydata.org/en/latest/docs/gallery/histogram.html
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# Most examples work across multiple plotting backends, this example is... | examples/gallery/demos/bokeh/histogram_example.ipynb |
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# In this example, we will load the residual map of a ... | workspace/plotting/examples/fit.ipynb |
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# + [markdown] colab_type="text" id="ZrwVQsM9TiUw"
# ##### Copyright 2020 The... | spinoffs/oryx/examples/notebooks/a_tour_of_oryx.ipynb |
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from config import username, password, database
i... | BONUS.ipynb |
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# + id="Qd-j_0ysLbk9" colab_type="code" outputId="218debea-e616-4da4-c7e2-e64... | Pytorch_ResNet50_Colab_Notebooks/computer_vision_v_0.ipynb |
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# # Motorization Rate in France
# ## Goals
#
# **Pred... | MotorizationRate.ipynb |
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from typing import Tuple
import re
import json
from co... | labs/.ipynb_checkpoints/namuwiki-checkpoint.ipynb |
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# ![pymt](https://github.com/csdms/pymt/raw/master/doc... | notebooks/cem.ipynb |
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# <h1>Table... | app/notebooks/topics/gender_vaccine.ipynb |
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import pandas as pd
import networkx as nx
import matpl... | notebooks/build_graph.ipynb |
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# + id="ZMFICkf3J6bm"
# !git clone https://github.com/ArseniyBolotin/asr_proj... | test.ipynb |
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import rigol
import rigol.usbtmc
import rigol.rigol
i... | DevelopmentNotebooks/rigol_channels2.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Day2_String.ipynb |
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#... | Module3/2_1_3A_regression_classification.ipynb |
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# 이 노트북의 코드에 대한 설명은 [다중 평가 지표: cross_validate()](https... | Python/scikit-learn/cross_validate.ipynb |
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# <a href="https://colab.research.google.com/github/we... | 05SciPy.ipynb |
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# ##### [sample solution, trained for... | examples/Continuous LunarLander using normalized advantage functions.ipynb |
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# + [markdown] id="z00jAXE6vQER"
# # Area Plots Histograms and Bar Charts
# <... | Data_Vizualization/Area-Plots-Histograms-and-Bar-Charts.ipynb |
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# + [markdown] colab_type="text" id="jNKaJz5j_ylj"
# #... | task9_bert_sentiment_analysis.ipynb |
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# # Welcome to AI for Science Bootcamp
#
# The objecti... | hpc_ai/ai_science_cfd/English/python/jupyter_notebook/Start_Here.ipynb |
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# # ES Tutorial with Fiber
#
# <NAME>
#
# June 2020
#
... | examples/gecco-2020/Fiber_ES_tutorial.ipynb |
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# # Resonant Sequences
#
# (from http://journals.aps.o... | notebooks/utils/Resonance Sequences.ipynb |
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# # CASE STUDY - unsupervised learning
#
# !pip ins... | m3-feature-engineering-and-bias-detection/case-study-clustering.ipynb |
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# ### 基本概念
# * 股市是多空博弈的场所，而筹码是博弈的核心，筹码分布的学术名为"流通股票持... | 选股/筹码理论.ipynb |
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import pickle
import numpy as np
# ## General descrip... | Demo_Notebooks/.ipynb_checkpoints/OpSeF_Setup_IV_0001-SDB_EpiCells-checkpoint.ipynb |
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# <a href="https://colab... | src/tutorial.ipynb |
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// + language="python... | examples/Untitled.ipynb |
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pd.set_opt... | data/postcodes/clean_postcode_lookup.ipynb |
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# <a href="https://colab... | PDI_TP2.ipynb |
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# # IBM Streams Kafka sample application
#
# This samp... | Streams-KafkaParallelSample.ipynb |
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# ## Trigger Word Detection
#
# Welcome to the final programming assignment of this specialization!
#
# In this week's videos, you learned ab... | _sequential/Deep Learning Sequential/Week 3/Triggerword Detection/Trigger word detection - v1.ipynb |
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# Use a RF to stack LSTM predictions with engineered f... | notebooks/archives/17-jc-lstm-with-feats.ipynb |
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GPT2TokenizerFast,
... | example.ipynb |
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# <html>
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# <h1><u>Assignment 1... | assignment_1/assignment_1.ipynb |
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# # widgets.image_cleaner
# fastai offers several wid... | docs_src/widgets.image_cleaner.ipynb |
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from qiskit import *
import numpy as np
# ### Step 1:... | sample/Hello World Quantum.ipynb |
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# !date
# # All clusters DE
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import anndata
impor... | analysis/notebooks/cluster/final-all_clusters_DE.ipynb |
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# + [markdown] id="ZeNH2z6OzfND" colab_type="text"
# #**Trabalhand... | analise-de-dados-com-pandas/Notebooks/Pandas_Aula6_Visualizacao.ipynb |
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# #!/usr/bin/python
# -*- coding: utf-8 -*-
"""Thi... | WLE stats generator.ipynb |
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# + id="jWOHYOGsQ7Vm" colab_type="code" colab={}
import pandas as pd
import n... | day4.ipynb |
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# # Classifying characters in scikit-learn
# #### Cla... | Section 11/Section 11.ipynb |
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# # Heart Failure Prediction and Classification using ... | Heart Failure Prediction and Classification using Machine Learning Techniques.ipynb |
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# ### Absolute geolocation error (ALE) of ... | ALE_Rosamond_tropo.S1A.ipynb |
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# + [markdown] id="fepLQAj-JshB"
# # Logistic Regressi... | Logistic_Regression_From_Scratch.ipynb |
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library(devtools)
devtools::install_local('/home/jovyan/gganimate-0.1.1.... | animate.ipynb |
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# # Automatic Data Downloads
# Satellite imag... | CodeSprints/Automatic Data Downloads_Solution.ipynb |
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def show2imgs(im1, im2, title1='Obraz pierwszy... | Lab6/01_segmentacja.ipynb |
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# + [markdown] id="O4fyFskoK4Ub"
# # Homew... | ec414_Intro_to_machine_learning/Backpropagation_and_introduction_to_Pytorch_Homework9.ipynb |
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# # Data Analysis with Pandas
# ## Outlin... | 02-pandas.ipynb |
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# %matplotlib inline
# %config InlineBackend.figur... | notebooks/enerpi log & pandas to html.ipynb |
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from pynq import Overlay
import asyncio
import num... | final-project/repositories/Hyperspectral_Unmixing/Unmixing-main/python/Unmixing.ipynb |
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import pandas as pd
import numpy as np
export = pd... | week 7/project_2.ipynb |
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# # Autograd in MinPy
#
# This tutorial is ... | examples/tutorials/autograd_tutorial.ipynb |
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# # The Project #
# 1. This is a project with minimal ... | LW_Course5_Week3.ipynb |
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# # Programming assignment
# ## Transfer ... | Transfer Learning - Cats and Dogs Classifier/.ipynb_checkpoints/Transfer Learning - Cats and Dogs Classifier-checkpoint.ipynb |
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# <a href="https://colab... | h_prj01_news_category_classfication_02_preprocessing.ipynb |
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# # Multitask GP Regression
#
# ## Introduction
#
# Th... | examples/03_Multitask_GP_Regression/Multitask_GP_Regression.ipynb |
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# # Google Ngrams L... | Amer-v-Brit-Lexicon-Analysis/Optimized Preprocessing (lemmatization).ipynb |
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# + [markdown] editable=false run_control={"frozen": f... | notebooks/module/Module5_RE.ipynb |
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# This notebook was prepared by [wdonahoe](https://git... | staging/sorting_searching/group_ordered/group_ordered_solution.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | color_schema_try.ipynb |
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# # Collaborative filtering
# + hide_input=true
from ... | docs_src/collab.ipynb |
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# Assemble a new Darwin Core Archive using data fr... | DwC-A_assembly.ipynb |
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# # Deep Convolutional GANs
#
# In this notebook, you'... | dcgan-svhn/DCGAN_Exercises.ipynb |
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from CSVUtils import *
import pandas as pd
import nump... | .ipynb_checkpoints/0304 - currency history cleaning-checkpoint.ipynb |
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# # 1. Introducción a la regression
#
# Realicemos una... | 1. Introduccion a la regression.ipynb |
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# # _PyEnzyme_ - Export template
#
# #### Usage
#
# - This... | templates/TL_ExportTemplate.ipynb |
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# + [markdown] id="ScitaPqhKtuW"
# ##### Copyright 2018 The TensorFlow Hub Au... | site/en-snapshot/hub/tutorials/image_feature_vector.ipynb |
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# # HELIX-SCOPE
#
# ### Developing the data processing... | work/Raw_data_process.ipynb |
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#
import requests
data = {'name':'liuyu','age':'18'}
... | day09.ipynb |
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# ```
#
# The Elves managed to locate the chimney-sque... | 2018/jordi/Day 3 - No Matter How You Slice It.ipynb |
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# + [markdown] colab_type="text" id="P7sX-B4aUbRN" pyc... | notebooks/06_01_intro_to_RNNs.ipynb |
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# # TimeEval shared parameter optimization... | notebooks/TimeEval shared param optimization analysis.ipynb |
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# # Latent Dirichlet Allocation for Text Data
#
# In t... | 04_machine_learning_clustering_and_retrieval/week_5/quiz_01.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Transfer_Learning.ipynb |
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from frame import DataFrame as df
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# # CSEP tests
#
# This notebook describes the theory... | CSEP_tests.ipynb |
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# # BaseTransformer
# This notebook shows the functiona... | examples/base/BaseTransformer.ipynb |
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# # Seldon Kafka Integration with KEDA sca... | examples/kafka/kafka_keda/cifar10_kafka.ipynb |
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# +
#'MetaData
#@Author : <NAME>
#Date : 28-06-2021
#... | Yash- Payment Date prediction.ipynb |
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import cv2
import numpy as np
import matplotlib.pyplot... | Homography_warp.ipynb |
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impor... | testing/FNSB_Graph_Util_Notebook.ipynb |
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# # Optical Flow
#
# Optical flow tracks objects by lo... | 3_7_Optical_Flow/Optical Flow.ipynb |
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import csv
import datetime
import json
import matp... | hcds-a1-data-curation.ipynb |
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# # Find the kth largest element in an unsorted array ... | FindkthLargest.ipynb |
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# + [markdown] colab_type="text" id="nCc3XZEyG3XV"
# L... | module1-define-ml-problems/Assign21_LS_DS_231_assignment.ipynb |
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# **This notebook is an exercise in the [Pandas](https... | Pandas/2 Indexing, Selecting & Assigning/exercise-indexing-selecting-assigning.ipynb |
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# + pycharm={"is_executing": false}
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# + [markdown] id="duWPWgPsdhUu"
# # Text Generation using GPT Neo 2.7B
# ###... | Natural Language Processing/NLP/TextGenerationGPTNEO1_3B.ipynb |
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# Interpolate irregular data
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# # Title
# ## Initialisation
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import plyfi... | jupyter_notebooks/DataConversion.ipynb |
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# # Load Packages
# Primary Packages
import pandas as... | model_generator.ipynb |
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# <NAME> v 0414190301
#
# +
idir="/home/data/sandbox/... | analysis/Multiproc.ipynb |
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from pykat import finesse
from pykat.commands ... | Fabry Perot Cavity/simple_fabry_perot.ipynb |
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# # Backtesting Plots for mutation growth ... | notebooks/mutrans_backtesting.ipynb |
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# # Identifying special matrices
# ## Instructions
# I... | Mathematics for Machine Learning/Linear Algebra/1 Identifying Special Matrices.ipynb |