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# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python (DL virtualenv) # language: python # name: dssc_dl_2021 # --- # # Deep Learning Course - LAB 1 # ...
labs/01-intro-to-pt_class.ipynb
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speed_test/Mel Spectrogram Torch.ipynb
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nbs/03_preprocessing.ipynb
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advent_of_code_2015/day 10/solution.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # DGA Detection, Modeling and Learning # # ## Load ...
3_Train_Deploy.ipynb
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Chapter04/Exercise4.01/Exercise4.01.ipynb
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Task_Visualization/Online_Retail_viz-RES.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Baseline TREC-6: TEXT Classification + BERT + Ax ...
notebooks_paper_2021/Baselines/Baseline_TREC-6.ipynb
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code/first_try/dimension_analysis_201022.ipynb
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GPU only STFT SVD reconstruction 1MSPS times calculated FINAL.ipynb
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embodied_arch/unit-tests/recertify-CP-RF.ipynb
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02 - Figure 4.ipynb
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Model.ipynb
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communication/growth_rate_dips.ipynb
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English/TaskA/CNN_en_a.ipynb
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tf_data_dep/c_3/TFDS-Week2-Question.ipynb
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Deconvolution/convolution2.ipynb
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fusionSearch/fusions_x_patient_notebook.ipynb
# + [markdown] colab_type="text" id="8tQJd2YSCfWR" # # + [markdown] colab_type="text" id="D7tqLMoKF6uq" # Deep Learning # ============= # # Assignment 6 # ------------ # # After training a skip-gram model in `5_word2vec.ipynb`, the goal of this notebook is to train a LSTM character model over [Text8](http://mattmahone...
courses/udacity_deep_learning/6_lstm.ipynb
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python/notebooks/Demo 2.ipynb
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Day 15.ipynb
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temp_analysis_bonus_1_starter.ipynb
# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .jl # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Julia 1.0.1 # language: julia # name: julia-1.0 # --- # # Basic OLS # # ## Load...
Ols.ipynb
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fashion_mnist_test.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pandas as pd import csv df = pd.DataFrame({ ...
python3/notebooks/pandas-csv/Untitled.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ### Practical_RL week3 homework # # In this notebook...
week3_model_free/homework/homework.ipynb
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notebook/3_PowerSimulations_examples/10_market_bid_cost.ipynb
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ML_Pipeline.ipynb
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01-install-software.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ###### Content under Creative Commons Attribution li...
lessons/03_wave/03_04_MUSCL.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # TEXT MINING AND NATURAL LANGUAGE PROCESSING USING ...
Text Mining and NLP.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ## Conditional Probability # # - Conditional probabi...
Notebooks/Conditional_Probability/.ipynb_checkpoints/Conditional_probability-checkpoint.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: py37 # language: python # name: py37 # --- import pandas food_info = pandas.read_csv("sample.csv",encodi...
data/根因分析/Untitled.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Lung Nodule Detector Model # # ## My first pass us...
Model-5.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # Lecture 17b: Fashion MNIST with Stacked Autoencoders...
lecture17b.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pymongo from collections import defaultdict # ...
code/ynacc/Results.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Solutions # + # Activation (sigmoid) function def...
intro-neural-networks/gradient-descent/GradientDescentSolutions.ipynb
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Course_3_Week_3_Exercise_Question.ipynb
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ch6-2.ipynb
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notebooks/India_csv_distance.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Network Operations # ## Pre-Processing # nuclio: ...
aggregate/aggregate.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # <h4 style="background-color:lightblue;"> We have d...
Recurrent_Mutation_Position_Fasta_File.ipynb
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Dynamics-Analysis/Motion-analysis2d.ipynb
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tutorial/07_Files_Windows.ipynb
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tutorials/data-join/01-weather-join-in-spark.ipynb
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Chapter03/Exercise3.05/Exercise3.05.ipynb
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module2-loadingdata/Sanjay_Krishna_Unit_1_Sprint_2.ipynb
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docs/T894941_Node2vec_on_ML_latest_in_Keras.ipynb
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notebooks/LogisticRegression.ipynb
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Wi20_content/SEDS/L7.Testing.ipynb
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CSC176/More about Java numeric data type, selection, and class.ipynb
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Activity_3.ipynb
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scripts/oiad/august_embed_cags/embeds_analysis.ipynb
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Experiment4.ipynb
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p13-lr-torch.ipynb
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notebooks/permutation-importances-regressor.ipynb
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lab_14/cfds_lab_14.ipynb
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examples/Deep Learning/CNN/CNN3.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Implementing a new model with Jack # # In this tu...
notebooks/model_implementation.ipynb
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probability_discrete/binomial.ipynb
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Python Absolute Beginner/Module_1_2.3_Absolute_Beginner.ipynb
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Assignments Submitted/Week 4/assignment4.ipynb
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Notebooks/Figures/DX_Pipeline_Figure.ipynb
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intro2laspy.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 2 # language: python # name: python2 # --- import pandas as pd import numpy as np import random f...
python/notebook/preprocess_data_lib.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + # # !pip install pymysql # # !pip install plotly #...
Telecom-ChurnV1_4.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + import sys import os import time import json sys....
examples/notebooks/flow-deploy-and-monitor.ipynb
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basics.ipynb
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hurricane_ike.ipynb
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python-sdk/tutorials/automl-with-azureml/image-classification-multilabel/auto-ml-image-classification-multilabel.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python (jupyter) # language: python # name: jupyter # --- # ### Figure generation notebook for MERFISH s...
notebooks/figures/.ipynb_checkpoints/Fig5_singlecellcomparison-checkpoint.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # In this lab, we will optimize the weather simulation...
hpc/miniprofiler/English/C/jupyter_notebook/profiling-c-lab3.ipynb
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Codigo/20211012Clase6.ipynb
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tutorials/jupyter/05_Fields.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Generating Custom Abundance Widget # This noteboo...
docs/io/visualization/abundance_widget.ipynb
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regresyon_ysa.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Maps SARS-CoV-2 Mutations to 3D Protein Structures...
notebooks/analyses/MapMutationsTo3D.ipynb
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samples/features/sql-big-data-cluster/spark/data-virtualization/mssql_spark_connector_ad_pyspark.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # <u> Problem </U> # ## We attempt to classify real ...
youtube-spam-ham.ipynb
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Crypto.ipynb
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samples/features/in-memory-database/memory-optimized-tempdb-metadata/MemoryOptmizedTempDBMetadata-Python.ipynb
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kratosbat/NN/SecondPassNN.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Word Boundaries # # We will now learn about anothe...
Quiz/m5_financial_statements/word_boundaries.ipynb
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XLM.ipynb
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exercises/day4/homework_04.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pandas as pd df = pd.read_csv('Fake_News_Datase...
FakeNews_Classifier/Fake News Classifier.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ## Euclidean distance # # - 두 수치 변수 사이에 거리를 계산 하는 공...
cs224w/datasimilarity1.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [Root] # language: python # name: Python [Root] # --- from generator.rnn import LSTMGenerator fro...
examples.ipynb
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eda-dataviz.ipynb
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tutorials/W1D1_ModelTypes/W1D1_Tutorial1.ipynb
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Object Oriented Programming.ipynb
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examples/notebooks/digits/digits_lstm.ipynb
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src/nlp_dev.ipynb
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05-Algoritmos.ipynb
// --- // jupyter: // jupytext: // text_representation: // extension: .cpp // format_name: light // format_version: '1.5' // jupytext_version: 1.14.4 // kernelspec: // display_name: C++14 // language: C++14 // name: xeus-cling-cpp14 // --- #include "../include/xvolume/xvolum...
notebooks/xvolume_demo.ipynb
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Recommender/movie_recommender.ipynb
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Lesson IV - Twitter.ipynb
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notebooks/Prediction_data_prep.ipynb
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hsp90/3_Protein_Ensembles_Analysis/1_Random_selection_of_64_conformations.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Exercise 3.2 Learning from data # First the probl...
PocketAlgorithm_Exercise_3_2.ipynb