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# # lab 5: translation simple ecoder-decocer over the ... | lab/old_experiments/lab_five_two.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}... | seminar10/md_practice.ipynb |
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... | cn/.ipynb_checkpoints/sicp-1-18-checkpoint.ipynb |
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from pyspark.sql import SparkSession
spark = SparkSes... | Clustering.ipynb |
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import pandas as pd
import mat... | fight-churn/eda/.ipynb_checkpoints/eda-checkpoint.ipynb |
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# # Compile and Train... | sagemaker-training-compiler/huggingface/pytorch_multiple_gpu_single_node/language-modeling-multi-gpu-single-node.ipynb |
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# # Assignment 3 - Building a Custom Visualization
#
#... | Applied Plotting, Charting & Data Representation in Python/Assignment3.ipynb |
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# <div style="width: 100%; overflow: hidden;">
# <... | Epidemiology201.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/dani_initial_exploration_thanks_simon.ipynb |
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# %load_ext autoreload
# %autoreload 2
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import os
... | scripts/100_postprocessing/05_clinvar.ipynb |
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# # GRU on Mario
# Goal: train a simple GRU to genera... | notebooks/main.ipynb |
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# # Binomial Distribution - Coin Toss
#
# > This document is written in ... | exercises/Binomial Distribution - Coin Toss.ipynb |
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# # Sample Coding Exercise : Interpolation
# - https:/... | Tutorials/Interpolation/.ipynb_checkpoints/Practice_interp-checkpoint.ipynb |
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# %matplotlib inline
import pandas as pd
import n... | lab3.ipynb |
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# + [markdown] id="slKSMY1flQ4F"
# ## Install dalle deps
# + id="RrmBb36yn4i... | dalle_back.ipynb |
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# ## Selection of derivative based on suitable call_pr... | derivatives/Derivative Analysis.ipynb |
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# + [markdown] deletable=true editable=true
# # Create... | courses/machine_learning/deepdive/05_review/labs/3a_tensorflow_frombq.ipynb |
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#Load dependencies
import pandas as pd
import numpy as... | animals/arthropods/terrestrial_arthropods/terrestrial_arthropods.ipynb |
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# + [markdown] colab_type="text" id="d0hJ4z8rBOFC"
# #... | vs_pyspark_netflow.ipynb |
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# ## Binary Search
# - __an algorithm is ... | 1 - Binary Search with Big O Notation.ipynb |
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import pandas as pd
import numpy as np
train_data = p... | Fake-new Classifier/Code.ipynb |
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# ## Dates and Times
#
# A special type of categorical... | Featuring Engineering/Dates.ipynb |
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# # 量子金融应用:最佳套利机会
#
# <em> Copyright (c) 20... | tutorial/combinatorial_optimization/ArbitrageOpportunityOptimation_CN.ipynb |
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from math import *
inputCalculation = '2*pi + 5 + 6 √... | Math fun.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | lecture_06/NLP_Zero_to_Hero_Combined_1_3.ipynb |
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def get_var_category(series):
unique_count = s... | notebooks/20210226-mdl-daen690-GenerateFQ1Dataset.ipynb |
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# # Aggregate Knowledge Store Documents
#
# The projec... | 03_Generate_Label_Data/Generate_NER_Label_Data.ipynb |
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# # Basic functionality
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# %matplotlib inline
# %l... | notebooks/sandbox/Refactoring tests.ipynb |
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# std
import os
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import re
# 3rd party
... | notebooks/WN18RR/WN18RR_Histogram.ipynb |
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# ## Parallel processing with Dask
#
# #### [Dask](htt... | 8_dask_parallel_processing.ipynb |
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# # Analysis of South African Covid-19 Datasets - Upd... | notebooks/COVID-19 South Africa - Data Analysis and Visualization.ipynb |
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#
# # Ejerc... | semana_5/dia_1/.ipynb_checkpoints/SQL_Ejercicios-checkpoint.ipynb |
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#about DiscreteRV
from numpy import cumsum
from nu... | Finite Markov Chain.ipynb |
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# # Board PL DDR4
# ----
# ## Aim/s
# * Use `pynq` MM... | board/RFSoC2x2/base/notebooks/board/pl_ddr4.ipynb |
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graph = {'1' :}
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# Python3 program to find minimum... | Tutorial/BFS.ipynb |
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# # Introduction to products and measurements <img ali... | Beginners_guide/03_Products_and_measurements.ipynb |
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# A simple script that:
# - takes an image... | cropper.ipynb |
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# + id="hb3kn-BL2yhZ" colab_type="code" colab={"autoexec": {"startup": false,... | prog.ipynb |
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from __future__ import division
import numpy as np... | .ipynb_checkpoints/figure_1-checkpoint.ipynb |
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# # Processing Dirty Data
# ## Background ... | examples/notebooks/dirty_data.ipynb |
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# ### Hyper-parameter optimization con Optuna
# +
imp... | xgboost-optuna.ipynb |
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# # Quantum Image Processing
# ## About This Section
#... | i18n/locales/ja/ch-applications/QIP/qip_index.ipynb |
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line = int(input("Tree 의 높이를 입력하세요(5~30) : "))
fo... | coding.test.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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import numpy as np
import pandas as pd
import matp... | Velomobile/Power Analysis.ipynb |
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from addit.ncf import conti
import jax.numpy as jnp
im... | snippets/dev/DIT implementation.ipynb |
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from tensorflow.keras import Model
from tensorflow.keras.layers im... | models/train_models.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | intro-programming/2_Programming_elements.ipynb |
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# 导入 socket、sys 模块
import socket
import sys
import str... | Path_Generation/Route/Route_Process/Overall_process.ipynb |
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import networkx as nx
import pandas as pd
G = nx.Grap... | notebooks/network-graphs.ipynb |
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# %matplotlib notebook
import pandas as pd
import nump... | analysis/spiral_analyses.ipynb |
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try:
dna_sequence = list(input())
mot... | Finding a Motif in DNA/Finding a Motif in DNA.ipynb |
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# # Introduction
# This no... | PyTorchNN/2230_PT_Word_LSTM_M2O_Kindle.ipynb |
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# solar cycle
#
# from
# https://ourcodingclub.github.... | time_series/solar_cycles/solar_cycles.ipynb |
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import torch
x = torch.empty(5, 3)
print(x)
x = torch.rand(5, 3... | 2/2-2.ipynb |
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# # Core decomposition
# This notebook illustrates th... | docs/tutorials/topology/core_decomposition.ipynb |
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# <center>
# <a href="https://github.com/kamu-dat... | images/demo/user-home/demo/03 - Trust.ipynb |
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import n... | day4.ipynb |
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# + id="x_gcV4sg5EF-"
import pandas as pd
import numpy as np
# + colab={"bas... | sentimentanlysis.ipynb |
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import pandas as pd
from tqdm import tqdm
from pymongo... | 1_data_enrichement/.ipynb_checkpoints/LV_annotator_real-checkpoint.ipynb |
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# A simple function which successively halves ... | 2020-02/level2/gkdavidson/RussianMultiplier.ipynb |
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# # Basic Example LDA Topic Extraction - Text Mining
... | Material/text/TopicExtractionGensim2.ipynb |
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import random
position = 0
walk = [position]
steps = 1... | Sunday random walk.ipynb |
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# # Imports
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# # Object Oriented Programming (OOP) in Python
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# # Filings Daily Stats
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# + [markdown] colab_type="text" id="5UDKqBOW0F8Q"
# #... | activities/Lecture2-CNN.ipynb |
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# # Convolutional: Instant Recognition with Caffe
#
#... | examples/GAN_mnist_representation.ipynb |
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# # 7) Git for good programming practices, cont.
# La... | source/notebooks/lecture07_git_and_github_cont.ipynb |
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csv_file = "Resources/cities.csv"... | converttohtml.ipynb |
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# Libraries
# hide
import pandas as pd
import numpy as... | nbs/7.3_statistical_analysis.ipynb |
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from cbrain.imports import *
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import json
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# The possible Boolean values in Python are True a... | PythonBeginnersTutorial_Boolean.ipynb |
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# name: python361064bitdevconda234b2b266583485... | Entity Explorer - Account.ipynb |
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# Read data from this link: https://parvathy47.github.... | Data Preparation Exercises 5.ipynb |
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# Nessie Demo
# ===========
# This demo showcases how ... | python/demo/nessie-delta-demo.ipynb |
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# # Luminance Inverter
#
# Bright screens when you're ... | luminance_inverter.ipynb |
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# # iminuit tutor... | tutorial/basic_tutorial.ipynb |
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# + [markdown] id="klGNgWREsvQv"
# <... | t81_558_class_12_03_keras_reinforce.ipynb |
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# Assignment - 4
# b)
#
# The best accuracy I got with... | assignment/Meka-Rajitha/assign-4b-rajithameka.ipynb |
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#fetch_housing_data () function to download the da... | HML.ipynb |
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# Copyright (c) 2019 [윤기태]
#
# https://github.com/yoon... | chapter3/01-baseball-salary-prediction.ipynb |
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# # Homework and bake-off: pragmatic color description... | hw_colors.ipynb |
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# Load dependencies
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### Code written for STDP tutorial @ CAMP 2016
###... | tutorials/LTP-I/Demo1/Demo1_STDP_Song2000.ipynb |
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campeonatobr_d... | pandas/Dataframes com Pandas.ipynb |
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# # Consistency filtrations of fox hunting sheaves
# (... | consistency_filtrations.ipynb |
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# # Please **DO NOT** run any cells as eve... | Homework 3/Sunny Son IML Homework 3.ipynb |
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# # Colonoscopy polyps detection using small CNN and s... | .ipynb_checkpoints/6-WindowsPolypsDetection-checkpoint.ipynb |
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# ![Noteable.ac.uk Banner](https://github.com/jstix/mr... | GeneralExemplars/Coding Activities for Schools/National Higher/Array_Higher.ipynb |
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# + [markdown] button=false new_sheet=false run_contro... | docs/notebooks/01_Intro.ipynb |
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from pyLZJD import digest, sim, vectorize
import n... | examples/20NewsGroups.ipynb |