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# + [markdown] tags=["header"]
# <table width="100%">
... | biosignalsnotebooks_notebooks/Categories/MainFiles/biosignalsnotebooks.ipynb |
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import pandas as pd
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table_names ... | notebooks/exploratory/0.3-US-cities-subset-data.ipynb |
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# ## Draw sample MNIST images from dataset
# Demonstra... | versions/2020/MLP/code/tf.keras/mnist-sampler.ipynb |
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import numpy as np
import pandas as pd
import os
w2v_... | .ipynb_checkpoints/word2vec-sent-cls-checkpoint.ipynb |
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# # 千言情感分析比赛 - Gavin
... | ERNIE_sentiment-classification.ipynb |
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import requests
import re
import json
import numpy... | shuhui_crawl.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # S... | applications/notebooks/emma/plot_svd.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | google-colab/lecture_teacher.ipynb |
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# %matplotlib inline
#
# # Image tutorial
#
#
# A sho... | matplotlib/tutorials_jupyter/introductory/images.ipynb |
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# # Viz - Lasso Casual
# +
# %matplotlib inline
from... | archive/machine_learning/visualizations/viz_lasso_casual.ipynb |
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import json
import pandas as pd
import math
import... | gps/GoogleLocation2-Maps.ipynb |
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# %cat 0Source_Citation.txt
# %matplotlib inline
# # ... | examples/8_pv_eos_fit_multi-scales.ipynb |
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# + [markdown] id="QbtNhINx3BrR"
# # "[Kaggle] New York City Taxi Trip Durati... | _notebooks/2021-10-09-New_York_City_Taxi_Trip_Duration_.ipynb |
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from scipy.stats import uniform
from mango.tuner impor... | examples/Branin_Benchmark.ipynb |
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# # T81-558: Applications of Deep Ne... | t81_558_class_13_01_flask.ipynb |
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# # Topoplot
#
# Topoplot : Script para el cálculo y v... | Topoplot.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] id="-AvTWS2f8WCg"
# ### K-promedi... | clasificacion/k_means.ipynb |
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from ipyleaflet import (
Map,
Marker,
... | examples/Primitives.ipynb |
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# # Git, Github, and Jupyter notebooks
#
# #### Versi... | Github_and_Jupyter.ipynb |
# +
"""
GPA Calculator
"""
# Write a function called "simple_gpa" to find GPA when student enters a letter grade as a string. Assign the result to a variable called "gpa".
"""
Use these conversions:
A+ --> 4.0
A --> 4.0
A- --> 3.7
B+ --> 3.3
B --> 3.0
B- --> 2.7
C+ --> 2.3
C --> 2.0
C- --> 1.7
D+ --> 1.3
D --> 1.0
D-... | pset_functions/db_search/solutions/nb/p1.ipynb |
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# # Report 6: Magnetic Pendulum
# ##... | report_06.ipynb |
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# + [markdown] gloss={"complex-number": {"text": "Comp... | notebooks/intro/describing-quantum-computers.ipynb |
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# # Car Evaluation Problem
#
# Car Evaluation Dataset:... | Car Evaluation.ipynb |
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# HIDDEN
# The standard s... | ipynb/01/Plotting_the_Classics.ipynb |
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# http://docs.opencv.org/3.0-beta/doc/py_tutorials/py_... | udacity_course_introduction-to-computer-vision--ud810/L12_2C-L2_Convolution in frequency domain.ipynb |
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# + id="2HWCeIuUMHNx"
# !pip install transformers
# + id="DtNeO3LJbI3T"
impo... | Experiments/NLP_Project_BERT.ipynb |
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import pandas as pd
import numpy as np
# to split the da... | ch02-categorical-encoding/Recipe-03-One-hot-encoding-frequent-categories.ipynb |
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# # Handling categorical variables with KernelSHAP
#... | examples/kernel_shap_adult_lr.ipynb |
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# # Do some simple prep of compound structures from S... | host_guest/bCD/guest_files/input_maker.ipynb |
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# + [markdown] id="y18rG0UIMdCZ"
# # Neural Networks
# > Basic image classifi... | _notebooks/2022-02-05-neural-networks.ipynb |
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# # <NAME> - Part 3: Parallel Parking
# In this sectio... | .ipynb_checkpoints/ParallelParking (copy)-checkpoint.ipynb |
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import numpy as np
import pandas as pd
import matp... | Untitled2.ipynb |
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# ## Template API demo
#
# Please give a short descrip... | Notebooks/template-demo.ipynb |
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# Please read this for context before proceeding onto ... | notebooks_from_articles/prefect_nlp_dask.ipynb |
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# ##### Reading OBE Mrksheet
import pandas as pd
cse... | data_input_files_scripts/.ipynb_checkpoints/assessments_for_cse101-checkpoint.ipynb |
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import brightway2 as bw
from path... | dev/setac/run_gsa.ipynb |
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import pandas as pd
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4da... | notebooks/predicting-matchups-pandas.ipynb |
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# # LeNet Inference with Cloud Alveo U200
# This tuto... | alveo/notebooks/mnist/LeNet_Inference_with_FPGA.ipynb |
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# + tags=["remove_cell"]
from IPython.display import H... | content/02/Radioactivity.ipynb |
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# %matplotlib inline
#
#
#
# Plotting with Geoplot an... | geopandas/plotting_with_geoplot.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="bzjje_KHqdv2" outputId=... | RSA_Cryptosystem_Implementation.ipynb |
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# + [markdown] id="QPJpkwbRK5NC"
# **Raymoond-2301872381**
# + id="-W4XoayIa... | KNN_CODe.ipynb |
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# name: python37664bitpersonalconda60c52b7... | lab/lab1/dist/student/Introduction to PS 88.ipynb |
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import tensorflow as tf
imp... | Chapter 11 Seq2Seq/Chapter_11_Section_3_Seq2Seq.ipynb |
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# # Anomalies collector - deepdive tutorial!
# <a hre... | netdata-agent-api/netdata-pandas/anomalies_collector_deepdive.ipynb |
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# https://www.scipy-lectures.org/intro/
# https://... | 02-1_Scipy_1D_Interpolation.ipynb |
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# <table width = "100%">
# <tr style="background-col... | notebooks/QUBO_Examples_TSP.ipynb |
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# # Step 3: Data Validation
#
# Use the code below to ... | tfx_airflow/notebooks/step3.ipynb |
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# ## Motivation
#
# Model overfitting during training ... | Regularization.ipynb |
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# # Benchmark - Wind-dependent Variables: Predict Wind... | notebooks/NASA Tropical Storm Wind Speed Challenge/nasa-tropical-storm-wind-speed-challenge-benchmark.ipynb |
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# # Elektrotechnisch integrieren mit Spulen und Konden... | 03GE2_elektrotechnisch_integrieren_differenzieren.ipynb |
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# [Table of Contents](./table_of_contents.ipynb)
# # ... | 02-Discrete-Bayes.ipynb |
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# The number of seconds since the be... | Other Notebooks/time module.ipynb |
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# # Introduction
# * Trading--The Last Frontier
# * Ps... | books/The New Trading for a Living/introduction.ipynb |
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# name: python37464bitbaseconda67970ada4b5d499... | .ipynb_checkpoints/sort_merge_3_col-checkpoint.ipynb |
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# # Taylor Approximation
# Recall the Ta... | taylor.ipynb |
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import time
import pickle
import seabo... | misc/LR_emb.ipynb |
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# + [markdown] id="9tu5aMWDKJon"
# # Verify GPU
# + c... | 4 - CoLA Sentences Classification with BERT/Transformers Scratch.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="DErThchGyF5y" execution... | download_dataset.ipynb |
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import copy
import itertools as it
imp... | src/exps_notebooks/generate_series_of_exps.ipynb |
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# # FuseMedML - Hello Wo... | fuse_examples/tutorials/hello_world/hello_world.ipynb |
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import torch
import torch.nn as nn
# # LSTM cell
#
# <... | Pytorch/Notes/Notes_on_NN_RNN.ipynb |
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# # File utilities
# A set of exercises to practice w... | 001_File_utilities.ipynb |
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# + papermill={"duration": 3.26982, "end_time": "2019-... | reports/monthly/2019-05-01_2019-06-01/discourse.ipynb |
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# ### 필요 라이브러리 import
import pandas as pd
import matp... | textrank+making_question.ipynb |
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# # Optimizaton Modeling with Gurobi and Python
#
# Th... | 8-Gurobi_Introduction/Gurobi_Introduction.ipynb |
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# + [markdown] button=false deletable=true editable=tr... | Week 3/Advanced Visulization Tools.ipynb |
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# +
import sys
import os
import csv
import math
impor... | gaze_project/data_analysis/anova_tobii.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as plt
... | DL3-IRFs/notebooks/Test-DL3-Peek.ipynb |
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# + [markdown] id="QlsBjTkj1jzm" colab_type="text"
# # Why this notebook ?
# ... | Demo/Install_demo.ipynb |
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# # Forward Stagewise GLM Debugging Notebook
#
... | notebooks/debugging/boosted_linear_model_classification_debugging_notebook.ipynb |
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# [![Notebook Tutorial](__code/__all/notebook_tutorial... | notebooks/converted_notebooks/extract_sans_reductionlog_metadata.ipynb |
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# +
# https://github.com/reflash/tinkoff-python-api
# ... | trash/drafts/tinkoff.ipynb |
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# <table align="left" width="100%"> <tr>
# <t... | silver/.ipynb_checkpoints/B04_Grover_Algorithm_For_Max-Cut_Problem-checkpoint.ipynb |
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# ## REST API
#
# `jupyter_starters` adds ... | docs/notebooks/REST API.ipynb |
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# +
# 5-Bar Linkage : Forward Kinematics
#
# from Stud... | sums/.ipynb_checkpoints/forward-precise-reduced-checkpoint.ipynb |
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# + [markdown] papermill={"duration": 0.018705, "end_t... | code/covid19-tweets-geographical-deep-analysis.ipynb |
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# +
from urllib import request
sourceBytes = ... | jupyterhub/notebooks/zz_under_construction/zz_old/Spark/Codegen/SparkML_To_Production_Codegen_Equals_Hybrid_Cloud.ipynb |
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# # Word map databases
#
# We need to be able to rapi... | DataAnalysis/Notebooks/Attic/OLD_Twitter_Word_maps.ipynb |
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# <h1> Python 3.6.6 | Anaconda Environment </h1>
impo... | Project 1 - Part A Submission Files/Project 1 - Part A - L18-1879.ipynb |
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import networkx as nx
from prettytable import PrettyT... | IS620_Wk4.ipynb |
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# # InstaCNN
# +
# TensorFlow and tf.keras
import ten... | machine learning/Deep Learning/InstaCNN.ipynb |
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# # v0.2 - Exp4
# Continued 5e from Exp3
# +
from fas... | release_nbs/v0.2_exp4_HF_paracrawl_pytorch_simplified_en-ga.ipynb |
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from ipywidgets import interact, interactive, FloatSli... | notebooks/em/TDEM_InductiveSource.ipynb |
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# default_exp uti... | nbs/01_utils.ipynb |
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# ## Training our own embeddings
#
# In this notebook ... | 03_training_our_own_embeddings.ipynb |
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# # Lisbon Airbnb Data
#
# ## An exploratory analysis
... | lisbon_porto_analysis/lisbon_analysis.ipynb |
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# # UK Collideoscope
# **Source of original dataset:*... | dataset_curation/uk_collideoscope.ipynb |
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# # ch 05. CNN을 위한 데이터 부풀리기
# - 개발자가 시험셋을 만들면 안된다
#... | PythonDeepLearningKeras/Part3-ch05-augmentation.ipynb |
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# %%capture
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# + colab={"base_uri": "https://localhost:8080/"} id="hl2iVych-qyc" execution... | Experiments/HateSpeechDetectionModels/selectedExperiments/pre-trained model/pre-trained (fine tuning) dehatebert-mono-arabic 17 4 2021.ipynb |
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# ## Introduction to Yuzu
# Yuzu is a com... | tutorials/1. Introduction to Yuzu.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Codage Golomb-Rice.ipynb |
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# # Simple Classification Model
import pandas as pd
i... | simple-classifier.ipynb |
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# # Sanitation Data
# This notebook ... | Step4-SanitationData.ipynb |
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# # Titanic: Machine Learning from Disaster
#
# >The s... | Titanic.ipynb |
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# # Recuperando dados do OpenStreetMap
#
# ![](images/... | 2020/05-geographic-information-system/Notebook_Network_Analysis.ipynb |