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# + [markdown] id="o8rERttgz2WZ" endofcell="--"
# ![JohnSnowLabs](https://nlp... | nlu/webinars_conferences_etc/graph_ai_summit/Healthcare_Graph_NLU_COVID_Tigergraph.ipynb |
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# # part 1: chunked datasets of 300
# + pycharm={"nam... | MateoStuff/Generate300Dataset/remove_labeled.ipynb |
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# # Purpose
#
# This figure justifies our choice of cr... | paper_plots/critic_term_ablation_study/plot_which_feature.ipynb |
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# +
#all_slow
# -
# # Tutorial - Text Gen... | nbs/09a_tutorial.easy_text_generator.ipynb |
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# # Select protfolio-id for trades analysi... | analysis/notebooks/portfolio_trades.ipynb |
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import pandas as pd
import numpy as np
import seab... | notebook/01. EDA(all data).ipynb |
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import pandas as pd
import numpy as np
import tensorfl... | Notebooks/.ipynb_checkpoints/H1N1 Exploration Notebook-checkpoint.ipynb |
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# # Nova Tarefa - Implantação
#
# Preencha aqui com de... | projects/config/Deployment.ipynb |
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# + _uuid="599c85b07f91bac2ad212af1ea3b4edfc66d2bff"
i... | machine learning/housing-xgboost-tuned-on-cleaned-data.ipynb |
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# + [markdown] id="A_5C1IvdfxkF"
# #pyhpc-benchmarks @ Google Colab
#
# To ru... | results/pyhpc_benchmarks_colab.ipynb |
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from collections import defaultdict
from pathlib i... | article/src/scripts/BirdsongRecognition/initial_submission/Bird1.ipynb |
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// <a name="top"></a><img src="images/chisel... | 3.4_functional_programming.ipynb |
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# # The clash of Neighborhoods in Toronto City
#
#
#... | CapsoneProjectWeek5/TheClashofNeighboor-CapsoneProject-week5.ipynb |
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# +
m = '110101'
n = '0011011'
b = [['' for _ in range... | Algorithms HW3.ipynb |
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# # Fast GP implementations
# + tags=["hidden"]
# %ma... | Session9/Day2/gps/answers/03-FastGPs.ipynb |
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#本章需导入的模块
import numpy as np
import pandas as pd
impor... | chapter11-4.ipynb |
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# ### Global
# +
b = 9
def foo():
print("inside ... | lectures/lectures/python/02_variables_and_functions/03_global_local.ipynb |
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# #%%appyter init
from appyter im... | appyters/Gene_Set_Library_Synopsis/Gene_Set_Library_Synopsis.ipynb |
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# # Preparation
# ## Append to path and import packag... | examples/notebooks/EEG-motor-imagery-CSP.ipynb |
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# + [markdown] colab_type="text" id="rNdWfPXCjTjY"
# #... | courses/machine_learning/deepdive2/feature_engineering/solutions/3_keras_basic_feat_eng.ipynb |
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# ###### Formulation:
# * Stages: $i = 1,2,3,\cdots$.
... | simplyabcTask-Copy2.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | CS6053_Homework4.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | Analytic.ipynb |
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# + [markdown] id="H9n05_nQvJNL" colab_type="text"
# #... | Fashion_MNIST.ipynb |
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# # Week 05, Part 2
#
# ### Topics
# 1. Review: Plotting Percentiles
# ... | week05/.ipynb_checkpoints/prep_notes_part2_week05_drawingPercentiles-checkpoint.ipynb |
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from pymedphys.mudensity import single_mlc_pair
impor... | examples/archive/mudensity/09_need_to_change_time_step_method.ipynb |
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# ### If, Elif, Else Statements
if 1 < 2:
print('... | If-Else.ipynb |
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# + [markdown] colab_type="text" id="WpzpsMsncWz2"
# Strings
# ======
#
# St... | prog1/implementacoes/tutoriais/formatacaoDeStrings.ipynb |
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# # Mixture Density Networks
#
# Mixture density netwo... | notebooks/mixture_density_networks.ipynb |
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using PPLM
tokenizer, model = PPLM.get_gpt2();
t... | examples/.ipynb_checkpoints/Julia_Discriminator_Training-checkpoint.ipynb |
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#
# # Chapter 8: Mappings & Sets
# ## Content Review
... | 08_mappings_01_review.ipynb |
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# + [markdown] id="kJIRBmDqBiKH" colab_type="text"
# ## Transformer 구현 과정 (1/... | tutorial/transformer-01.ipynb |
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# # Profiling code in IPython
# We will see how we ca... | machine_learning/jupyter_101/My first jupyter notebook.ipynb |
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#r "nuget:TaskBuilder.fs,2.1.0"
#r "Take... | Notebooks/Download Weather Data.ipynb |
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# %matplotlib notebook
# %run main --device-ids 0 1 2... | checklist_transformers/.ipynb_checkpoints/Negation_example_on_subset-checkpoint.ipynb |
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import pandas as pd
import numpy as np
... | code/hello_world/hello_world.ipynb |
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# # The Pizza-Oven: Cooking with a GPU at home.
#
# >... | _notebooks/2021-03-04-GPU_at_home.ipynb |
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# Standard python helper libraries.
import os, sys... | archive/EmbeddingsExploration-CategoricalConv-Completed-4.10.19.ipynb |
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# #### We use function spect_loader extracted from
# ... | Final_Project/TrainingModel.ipynb |
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# # Boosting a decision stump
#
# The goal of this not... | 03_machine_learning_classification/week_5/quiz_02.ipynb |
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# ### Import Libraries
import cv2
import numpy as np
... | Projects/05_Car_Detection.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:eu-west... | xgboost_direct_marketing_sagemaker.ipynb |
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# # Assignment 2
# The objective of this assignment is... | Assignment2/201XXXX.ipynb |
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import pandas as pd
import numpy as np... | NER/Acronyms-from-supp.ipynb |
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# # Linear classifiers demo: `fit`
#
# CPSC 34... | lectures/L19demo.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | DS_Unit_1_Sprint_Challenge_2_Data_Wrangling_and_Storytelling_(2).ipynb |
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# # 2 散点图Scatterplot
# 散点图能够显示2个维度上2组数据的值。每个点代表一个观察点。X... | Seaborn Study/sources/2 散点图SCATTERPLOT.ipynb |
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# + [markdown] id="hjM_sV... | docs/notebooks/Common_Gotchas_in_JAX.ipynb |
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# # Simple completeness stats
# %matplotlib inline
im... | notebooks/analysis.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
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# + id="pzNkLTBDZPsX" colab_type="code" colab={}
# + [markdown] id="tih6cQJ... | Regression_metrics.ipynb |
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import numpy as np
import pandas as pd
from sklea... | India_Final_Project_20Oct.ipynb |
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# Delete duplicates
#
# ```sql
# with r as (SELECT arr... | ResourceWatch/data_management/Useful Queries.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | visualizadorPruebasSaber11_2019_2.ipynb |
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# %matplotlib inline
import pandas as pd
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# # Collision Avoidance - Train Model (with live graph... | notebooks/collision_avoidance/train_model_plot.ipynb |
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# + [markdown] id="jtLiiWFaZlUb"
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# # **Paper Informa... | main.ipynb |
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import pandas as pd
import st... | NHANES_list_parser.ipynb |
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# # Python 3
# ## Version
import sys
print(sys.versio... | volume/example/python3.ipynb |
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from sympy import init_session
init_session()
# ## Qu... | finite-volume/conservative-interpolation.ipynb |
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from jax import value_and_g... | NCA in jax example.ipynb |
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import numpy as np
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import matplotl... | Global Terrorism Analysis.ipynb |
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# <h1> Text Classification using TensorFlow/Keras on C... | courses/machine_learning/deepdive/09_sequence/labs/text_classification.ipynb |
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/ # Handling multiple sequences (PyTorch)
/ Install the Transformers and Datasets libraries to run this notebook.
! pip install datasets tran... | course/chapter2/section5_pt.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Villasor_Finals_Exam_Numerical_Methods.ipynb |
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# Resources Used
# - wget.download('https://tensorflow... | SignLanguage_Live/Notebook.ipynb |
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# name: python38364bitvenvvenvf0654de04bec4787b... | observation_types.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | toolkit/xnlp/Explanations Analysis Run 02 - Finnish.ipynb |
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# <img align="center" style="max-width: 1000px" src="b... | resources/lab_04/colab_04.ipynb |
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# + [markdown] id="DI779AZVZbVs"
# # "Python Review for Deep Learning"
# > "C... | _notebooks/2022_03_29_theFirstPython.ipynb |
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import pandas as pd
import bjorn... | notebooks/alab_mutations.ipynb |
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# # TAP_verify_DP0.1-general
#
# <br>Owner: **<NAME>** ([@dou... | notebooks/TAP_verify_DP0.1-general.ipynb |
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# +
# hide
import numpy as np
import pandas as pd
fro... | nbs/index.ipynb |
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from ipywidget... | workspace/example.ipynb |
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# # Welcome!
#
# # Practical 1 - An introduction to d... | solutions/.ipynb_checkpoints/Practical 1. Introduction to data types and numerical operations-checkpoint.ipynb |
;; -*- coding: utf-8 -*-
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... | ch1/1.2/ex.1.19.ipynb |
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# + id="2rY0kAPCKo--" colab_type="code" colab={}
# #!wget http://msvocds.blob... | mscoco_feature_extraction.ipynb |
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"""
Losses
"""
# pylint: disable=C0301,C0103,R0902... | loss.ipynb |
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# # Cross-correlat... | example/STL/4. get cross-correlation.ipynb |
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# # Example of loading the clas... | use_model.ipynb |
# + slideshow={"slide_type": "skip"}
############## PLEASE RUN THIS CELL FIRST! ###################
# import everything and define a test runner function
from importlib import reload
from helper import run
import psbt
# + [markdown] slideshow={"slide_type": "slide"}
# ### Exercise 1
#
# #### Create a PSBT from the p2... | session5/complete/session5.ipynb |
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# + [markdown] id="Uf6dEaWpP3lo"
# 作業目標:<br>
# 1. 運用索引... | Homework/Day_10_HW.ipynb |
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# # Goolgle Play Store Analysis Report
# ### <NAME> ... | Assignments/Python/Google Play Store Analysis.ipynb |
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# # Waveguide array
#
# To define a waveguide array we... | docs/notebooks/03_waveguide_array.ipynb |
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# # Practice Exercise: Importing data & Exploring data... | Question_practice_exercise+(importing_manipulation).ipynb |
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# Lab-02 Linear regression
# 학습목표
#
# 선형회귀(Linear Regr... | Lab-02 Linear regression.ipynb |
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from reques... | gazdasag/2019/3_formatter.ipynb |
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# + colab={} colab_type="code" id="2k4ZB9yltJCa"
# Ini... | Pranjal/Dictionary_Assignment.ipynb |
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# + [markdown] deletable=false editable=false
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# # 3 Keeping track of di... | content/06. Where in the world are we/06.3 Keeping track of distance.ipynb |
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# # AE vs VAE for MNIST
# **All sources can be fo... | ECG_AE_anomaly_detection/AE comparison for Mnist-Short.ipynb |
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import os
os.environ["CUDA_DEVICE_ORDER"] = "PCI_... | ved_detAttn/predict.ipynb |
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# # Tutorial: Scorecard with continuous target
# In t... | doc/source/tutorials/tutorial_scorecard_continuous_target.ipynb |
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from IPython.display import display, Image
# + [markd... | 5 - Deep Learning Explained/hw3/Lab4_ConvolutionalNeuralNetwork.ipynb |
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# # `truevoice-intent` Dataset
# This notebook perfor... | exploration.ipynb |
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