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# ## Introduction to spaCy
# __Initializing spaCy__
i... | notebooks/session3_spaCy_au617836.ipynb |
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# ## Anomalias magnéticas produzidas por fontes crusta... | codes/tests/.ipynb_checkpoints/test_Mag_prisma-checkpoint.ipynb |
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# # Model Checking
#
# After running an MCMC simulatio... | notebooks/Day4_4-Model-Checking.ipynb |
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# + [markdown] button=false new_sheet=false run_contro... | .ipynb_checkpoints/K-Nearest-neighbors-checkpoint.ipynb |
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# +
#
# Exhaustive Search Results
#
import os
import r... | notebooks/TOT/ES-Model-Drop.ipynb |
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# In yt 3.0, we want to make it easier to access "raw"... | doc/source/analyzing/units/3)_Comoving_units_and_code_units.ipynb |
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# # Week 6 - Make the kind of data you want to see in ... | src/Week 6.ipynb |
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# # Locality Exploration
# + pycharm={"is_executing"... | notebooks/exploratory/locality-exploration.ipynb |
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#remove cell visibility
from IPython.display import HT... | ICCT_si/.ipynb_checkpoints/SS-05-Jordanova_oblika_realni_lastni_vektorji-checkpoint.ipynb |
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graphics_toolkit("gnuplot"); % use if "plot" does not work... | exercises/Exercise02c_eng_analytical_mixed_Robin.ipynb |
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# # 📝 Exercise
# **Suppose you are ... | book/IntroExercise1.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # D... | Aulas/Aula_20210706/Aula_EletromagI_20210706.ipynb |
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# # MSDA Jupyterhub server
#
# ## What is Jupyterhub?
... | Year19-20/2019-07-15__sklearn/02_aws.ipynb |
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# [
# [<NA... | Lectures/Lecture17 -- Ice albedo feedback in the EBM.ipynb |
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# + [markdown] tags=[]
# # Fingerprints
#... | _notebooks/data/Fingerprints.ipynb |
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# <a id="top">
# # Machine Learning Data Preparation ... | jupyter_notebooks/machine_learning/2_Data_Preparation.ipynb |
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# # Link prediction example and calibration: GraphSAGE... | demos/calibration/calibration-pubmed-link-prediction.ipynb |
# +
# setup
from mlwpy import *
# %matplotlib inline
import cv2
# -
docs = ["the cat in the hat",
"the cow jumped over the moon",
"the cat mooed and the cow meowed",
"the cat said to the cow cow you are not a cat"]
vocabulary = set(" ".join(docs).split())
common_words = set(['a', 'to', 'the'... | 14_Feature_Engineering_III_Domain_code.ipynb |
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#hide
from fastai_v2_notes.metaclass import *
# # fas... | nbs/index.ipynb |
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# # Face detection using opencv
import numpy as np
i... | student/Face detection using opencv.ipynb |
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# + [markdown] id="pRzAXrPVzsHX"
# # Finetune RuGPTs in megatron and deepspee... | examples/Finetune_and_generate_RuGPTs_deepspeed_megatron.ipynb |
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# ## import包
import sys
sys.path.append('../AutoX')
... | autox/autox_recommend/demo/MovieLens/MovieLens_AutoX_recall_and_rank_0520.ipynb |
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# # Extracting tweets from twitter using tweepy
#
# ##... | Scraping/TwitterScraping/Accessing Timeline/TwitterScrappingNameWise.ipynb |
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# + id="O5m8cxLuGjCn" colab_type="code" colab={}
# !pip install datadotworld
... | matrix_one/4day_meta.ipynb |
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# + [markdown] tags=["remove_cell"]
# # Grover's Algor... | content/ch-algorithms/grover.ipynb |
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# # TensorFlow Script Mode - ... | sagemaker-python-sdk/tensorflow_script_mode_using_shell_commands/tensorflow_script_mode_using_shell_commands.ipynb |
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#default_exp ocr_attention_training
# -
#export
from fasta... | nbs/07_ocr_attention_training.ipynb |
# -*- coding: utf-8 -*-
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# # Playground with sample... | src/1d/sampler/.ipynb_checkpoints/scalar-checkpoint.ipynb |
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# %matplotlib inline
import numpy as np
import matplot... | notebooks/lscontainer.ipynb |
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# # Results of the estimator study (Section 4.3.1)
# ... | notebooks/Paper1_simulations/Model_Problem_2_Estimator_study/Extended_results_of_the_estimator_study(Figure_4).ipynb |
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"""
@author: bangfu.tao
"""
import numpy as np
im... | python/car-rental.ipynb |
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words = []
for word in corpus_raw.split():
if word... | jupyter/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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import os
import re
import tarfile
import request... | src/nlpia/book/examples/ch08.ipynb |
# -*- coding: utf-8 -*-
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# # Tag 1. Kapitel 6. R Programmierung
#
# ## La... | 1.6 R Programming/de-DE/1.6.34 R - Functions. Lab5. Solutions.ipynb |
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import tensorflow.contrib.learn.p... | .ipynb_checkpoints/convnet_experiments-checkpoint.ipynb |
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# <p style="border: 1px solid #e7692c; border-left: 15... | Chapter06/ch6_nb2_denoise_with_autoencoders.ipynb |
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# # Noisy Dataset Generation
import os
import numpy a... | connor/Noisy Dataset Generation.ipynb |
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# Environment
# +
from __future__ import absolute_imp... | individual_code/michael/sumo_gym/PoundSign_michael.ipynb |
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import time
import datetime
import argparse
import... | notebooks/tryYolo.ipynb |
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# + [markdown] slideshow={"slide_type": "skip"}
# # No... | Test_karl/material/session_5/karl_lecture_5.ipynb |
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# # Curve Fit With or Without Constant
#
# When fittin... | Notebooks/Curve Fit WO Constant.ipynb |
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import pandas as pd
import csv
from pathli... | data/data-pipeline/data_pipeline/ipython/EJScreen Validate.ipynb |
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# # 1.5. Implementing a simple Linear Regression Algorith... | Section 1/Video 1.5.ipynb |
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# I have the clean data from the previous step that in... | NOTEBOOKS/3.0 - Capstone_Alta_Modeling.ipynb |
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# # Classificatio... | Stock_Algorithms/Classification_Cluster_3.ipynb |
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# <a href="https://colab.research.google.com/github/jg... | examples/step1_create_annotation_set.ipynb |
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import numpy as np
rand =... | Code/Day61-ipythonExample.ipynb |
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import numpy as np
from astropy.io import fits
from as... | notebooks/Cutout Scratchpad.ipynb |
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# Move the cells I used to calculate the tides from "T... | notebooks/Ariane/CalculateTides.ipynb |
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# + [markdown] tags=[]
# ## DATA 245 Fall 2021 Project... | 245_Project_Code_Blur.ipynb |
# -*- coding: utf-8 -*-
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# # Key Distribution Kata
#
# **Key ... | KeyDistribution_BB84/KeyDistribution_BB84.ipynb |
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# URL: http://bokeh.pydata.org/en/latest/docs/gallery/dot.html
import holoviews as hv
hv.extension('bokeh')
# ## Declare data
# +
factors =... | examples/gallery/demos/bokeh/dot_example.ipynb |
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# + [markdown] colab_type="text" id="H4OxaK... | 10_pipeline/tfx/01_Create_Pipeline_Train_and_Deploy_Reviews_BERT_TensorFlow_TFX.ipynb |
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# # Penguin Random House Dataset
# The da... | penguin_random_house/preprocessing.ipynb |
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# # Finding the Largest or Smallest N Items
# ## Prob... | notebooks/ch01/04_finding_the_largest_or_smallest_n_items.ipynb |
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# ## Setup
import pandas as pd
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# # Entity Explorer - Linux Host
... | Entity Explorer - Linux Host.ipynb |
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# #!/usr/bin/env python
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#... | notebooks/GUAM/GUAM/03_ClimateChange/S5_SLR_ENSO/00_Generate_Database.ipynb |
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# # Gradient filters
# [](https://colab.research.google.com/github/Y... | c_03_edge_detection/gradient_filters.ipynb |
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# Code for **"Prior effect"** figure from supmat.
# #... | 0-newbooks/deep-image-prior/sr_prior_effect.ipynb |
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import numpy as np
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/ + cell_id="00000-398da09d-c532-4886-9d4d-8b1248e7e9f2" deepnote_cell_type="code" deepnote_to_be_reexecuted=false execution_millis=6 execution... | Statistics/Bootstraping _technique1-7-2021.ipynb |
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im... | PyTorch Lightning/00_-_PyTorch_Lightning_Basics.ipynb |
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# + id="kGYHnYWYVQbg" colab_type="code" colab={}
import numpy as np
# + id="... | E2E Android ML with tf.Keras & TFLite/L3_Numpy Basics.ipynb |
# -*- coding: utf-8 -*-
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# ## 'rvest' packages
require(dplyr)
require(r... | R/rvest_and_httr.ipynb |
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# ## Matrix representation of operators
#
# We saw bri... | material/finite-difference-II.ipynb |
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# Implementing Linear Regression
# Quadratic Model... | 15XW62 - Machine Learning/0/q_1/q_1.ipynb |
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using DifferentialEqua... | NonStiffODE/RigidBody Work-Precision Diagrams.ipynb |
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# # MNIST Image Classification with TensorFlow on Clou... | courses/machine_learning/deepdive/08_image/labs/mnist_models.ipynb |
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# # Demo Notebook for Copying a Component
# Start by ... | tutorials/2 Front End User/2.1 My first custom QComponent/Copying_Component.ipynb |
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# # Numpy.Random Analysis
# This assignment relates t... | Numpy-Random.ipynb |
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import warnings
warnings.filterwarnings('ignore')
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# + id="vk6pUeHeF3Tm" colab_type="code" colab={}
# google colab does not come... | setting-up-colab/Installing-PyTorch.ipynb |
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# # T... | src/main/ipynb/relational-python.ipynb |
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x = 5
print(x)
# ### this next cell is an example o... | introds/classes/L2-PythonJupyter/python_intro.ipynb |
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# # Homework 8
#
# ## CSCI E-82A
#
#
# In the a previo... | homeword/CS82A probabalistic programming/Homework/Homework8.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
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# + [markdown] id="view-in-github" colab_type="text"
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from sklearn import tre... | knn/.ipynb_checkpoints/BreastCancer-knn-ALL-checkpoint.ipynb |
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# # 2019 Novel Coronavirus (SARS-CoV-2) and COVID-19 U... | notebooks/JHU_COVID-19.ipynb |
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# + [markdown] id="ose3gvP7TTTP"
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# # C... | _build/jupyter_execute/rise/04-cvs-git-rise.ipynb |
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fr... | example_plots.ipynb |
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# # 线性代数：机器学习背后的优化原理
#
#
# 线性代数作为数学的一个分支，广泛应用... | P3_Linear_Algebra/p3_Linear_Algebra.ipynb |
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# + [markdown] papermill={} tags=["awesome-notebooks/P... | Plotly/Plotly_Create_Leaderboard.ipynb |
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# # Interactive 3D brownian motion with Vispy
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