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# + [markdown] colab_type="text" id="kLSLxAdBGHSd"
# #... | notebooks/.ipynb_checkpoints/LSN_sim_testcode-checkpoint.ipynb |
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# # Regression Example: Predict the Price of a House
#... | 06 - Regression Examples.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Exercise_1_v2.ipynb |
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# # Calculate Jensen-Shannon Divergence Between Luke a... | JSD_Example.ipynb |
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# # Notebook 12: Identifying Phases in the 2D Ising M... | jupyter_notebooks/notebooks/NB12_CIX-DNN_ising_TFlow.ipynb |
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# +
# create file txt to train
# -
imp... | preprocessing data.ipynb |
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# # LeetCode
#
# ## Link
#
# 1. https://leetcode.com/
... | AATCC/lab-report/w7/practice-leetcode-labs-w7.ipynb |
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# # Object Oriented Programming
# ## Homework Assignme... | 03-Object Oriented Programming Homework.ipynb |
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# # Lecture 3 - Linear Models for Regression with Basi... | 03_BasisFunctions/L03_BasisFunctions.ipynb |
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import sys
sys.path.append('..')
from polynomial_progr... | binary-encoding/created-hamiltonian-binary-encoding-3x4.ipynb |
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# # Demo Collect Rook Usage
import pandas as pd
impor... | notebooks/demo/rook-usage.ipynb |
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# title: "Descriptive Statistics For pandas Dataframe"
# author: "<NAME>"
# date: 2017-12-20T11:53:49-07:00
# description: "Descriptive statistics for pandas dataframe."
# type: technical_note
# draft: false
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# ... | content/python/data_wrangling/pandas_dataframe_descriptive_stats.ipynb |
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# %system ls
import nltk
import re
from wordcloud imp... | en_textprocessing/entextprocessing.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | RegulomeExplorer/Correlations_Protein_and_Gene_expression_CPTAC.ipynb |
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# <a href="https://colab.research.google.com/github/je... | Clase8-RNN/extras/.ipynb_checkpoints/1seriestemporales-checkpoint.ipynb |
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# + pycharm={"name": "#%%\n"}
"""EXERCISE 2
1. Generar... | code/EXERCISE 2.ipynb |
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# # Lab 9 XOR
# ## Lab09-2-xor-nn
# > XOR 데이터를 neural... | Python/tensorflow/DeepLearningZeroToAll/Lab09-2-xor-nn.ipynb |
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# ## fastText chABSA dataset slot 3 evaluation
#
# Tes... | tests/chABSA-dataset_Slot3_classification.ipynb |
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# # T81-558: Applications of Deep Neural Networks
# **... | t81_558_class2_python_ml.ipynb |
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from IPython.core.display import display, HTML
dis... | model/Single_Model/Single-Model-Training_WOE-VOTE.ipynb |
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import os
import json
import psycopg2
import pandas as... | notebooks/notebooks/11- Exclude Water.ipynb |
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import numpy as np
import matplotlib.p... | [Lab] Day1-03 Mixture Density Network.ipynb |
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# ## Finding the occurence of a letters in a string
#
... | Notebooks/Interview_Coding.ipynb |
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# %matplotlib inline
import numpy as np
import pandas ... | notebooks/target_vol_executor.ipynb |
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# + id="nI3BCU_tMsXg"
from tensorflow.keras.datasets.mnist import load_data
... | Handwritten_Digit_Recognization_CNN_MNIST.ipynb |
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# # Implementing market basket analysis
#Loading necc... | Examples/Market Basket Analysis/Market Basket Analysis.ipynb |
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# ## Classifica... | code/notebooks/keras/07_Reuters_article_text_classification.ipynb |
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def calculadora():
# Passo 1 - imprimir na tela... | Cap03/Lab02/Untitled.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# Pro... | _teaching/2020-spring-gs541/hw.solution.problem1.ipynb |
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from... | pillow_example.ipynb |
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pip install twython
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from twython import Twython
... | patch/Twython.ipynb |
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# + [markdown] id="Lf7huAiYp-An"
# ##### Copyright 2021 The TensorFlow Author... | docs/tutorials/working_with_client_data.ipynb |
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# # 人脸识别模型 FaceNet
#
#
# ## 使用基于 NN4 改造的 CNN 模型训练和提取特征... | CTA2019-DL/tf_keras_FaceNet.ipynb |
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#
# # Style Transfer
#
#
# ## Ou... | Style_Transfer_Saving_Input_Output_Images.ipynb |
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import pandas as pd
df = pd.read_csv(... | Data with Python/6.Absentieesm data process to MySQL/Absenteeism_data_transformation.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Diabetes_prediction.ipynb |
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# + id="e_WiTkW4sCyi" colab_type="code" colab={}
import pandas as pd
import n... | TitanicDisasterManagementClassifier/NoNeuralNet_TitanicClassificationProblem.ipynb |
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import can
import udsoncan
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bus = can.Bus(interfac... | notebooks/MS_CAN_Bus_Tach.ipynb |
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#import various python libraries
import requests
impor... | notebooks/California Counties.ipynb |
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# # cyBERT: a flexible log parser based on the BERT la... | notebooks/cybert/cybert_example_training.ipynb |
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# ## 範例重點
# * 了解如何 reset Tensorflow Graph
# * 學習如何以迴圈方... | homeworks/D079/Day079_LearningRateEffect.ipynb |
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# # QCoDeS Example with R&S HMC 8043 Power Supply
imp... | docs/examples/Rohde_Schwarx_HMC8043.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Introdu... | tutorial/01 - Optimization and Math/01 - 2D Rosenbrock.ipynb |
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# # Streak Interpretations for Image Prediction (Trans... | StreakImageRetraining.ipynb |
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# +
import pandas as pd
import numpy as np
from scipy... | Yandex data science/4/Week 4/Bioinformatics.ipynb |
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# + id="-oWn2GD_cr8T"
from google.colab import drive
# + colab={"base_uri": ... | Copy_of_2_wine_QT.ipynb |
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import torch
import torch.nn as nn
import torch.nn.functional... | pos_tagger/bi-lstm/Bi-lstm-disbert-distillation.ipynb |
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# + [markdown] id="fbEucLMi69gf"
# ## IMPORT LIBRARY
#
# + id="PIl1WkJVM9EM"... | CLOSE_PRICE_PREDICTION_[SMA]_[LINEAR_REGRESSION]_VER_4.ipynb |
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# ## Application of batch-mode regression to cross-val... | tutorials/batch_mode_cross_validation.ipynb |
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# <img src="https://www.quantrocket.com/assets/img/not... | backtrader_dma/Part3-Strategy-Code.ipynb |
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# + id="7vqqFwNfuLij" colab_type="code" colab={"base_uri": "https://localhost... | day3_simple_model.ipynb |
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# # Data Cleansing with PostgreSQL
# ### Merging data ... | .ipynb_checkpoints/DataCleansing_PostgreSQl-checkpoint.ipynb |
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# # Multipe Regression
#
# In this notebook we use a d... | Data-Analysis/5_Linear-regression/4c_multiple-linear-regression_insurance_solution.ipynb |
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# %%time
import time
for _ in range(1000):
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# <a href="https://colab... | Classification Template for large datasets/Logistic Regression/logistic_regression_template_sam.ipynb |
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# # Training on Multiple GPUs
# :label:`sec_multi_gpu`
#
# So far we discussed how to train models efficiently on ... | python/d2l-en/pytorch/chapter_computational-performance/multiple-gpus.ipynb |
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# <a href="https://colab... | 5_6_Extract_CV_representation_of_experiment_stimuli_words.ipynb |
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# https://www.kaggle.com/riteshkrjha/riiid... | test_LorisBallsBasedModel.ipynb |
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# # Sparse Relaxations to Binary Random Variables
# I... | notebooks/Sparse Binary Relaxations.ipynb |
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#... | tutorials/W2D2_ModernConvnets/student/W2D2_Tutorial2.ipynb |
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# Notebookのカレントディレクトリを取得する
import os # osモジュール... | sample/Python_GOKUI/Python_GOKUI/chap04/sec01/FileOperations.ipynb |
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from imutils import... | notebooks/Drowsiness Detection.ipynb |
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# + id="CP1k95JjmAEi" colab_type="code" colab={"base_uri": "https://localhost... | day5.ipynb |
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# # Exercise 1: Data Exploration
#
# Use the code belo... | AI-for-Healthcare/wearable-data/lesson 4/1_data_exploration.ipynb |
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# %reload_ext autoreload
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# + [markdown] slideshow={"slide_type": "slide"}
# # S... | C4.Classification_SVM/svm_student.ipynb |
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import pandas as pd
import re as regex
import matp... | analysis/alec_nixon/scriptTesting.ipynb |
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# https://github.com/parasch... | UsingPreTrained.ipynb |
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# # Bite Size Bayes
#
# Copyright 2020 <NAME>
#
# Lice... | 04_dice.ipynb |
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import datetime as dt
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import pa... | app.ipynb |
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# # A Whirlwind Tour of Python
# *<NAME>*
# <img src... | Index.ipynb |
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# # Targeted Bisuflite Sequencing Alignment Quality
#... | TargetedBSAlignmentQC.ipynb |
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# # Mining Challenge Sample Notebook
#
# This notebook... | MSR-MC2022-Sample.ipynb |
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# Libraries
import pandas as pd
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# !... | week11_gan/homework (1).ipynb |
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# # A Simple Autoencoder
#
# We'll start off b... | autoencoder/Simple_Autoencoder_Solution.ipynb |
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# + [markdown] colab_type="text" id="PIIR_uOgzR14"
# [![O... | jupyter/enterprise/healthcare/Disambiguation.ipynb |
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# <h1>Genetic Algorithm in 15 lines of Python code</h1... | content/Mini GA and NN.ipynb |
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import numpy as n... | Models/LSTM.ipynb |
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import jams
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import librosa
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import numpy as np
df = pd.read_c... | Additional Notebooks/clean_prices.ipynb |
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# ## Introduction
#
# In the previous lesson, we lear... | 03 - pyplot/0306 - Adjusting Subplot Parameters.ipynb |
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# # Пример использования рекуррентных сетей для анализ... | RNN for TimeSeries.ipynb |
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from sqlalchemy impor... | Python Working Files/data_toJSON.ipynb |
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// # Session 7: The Errata Review No. 1
... | notebooks/0107-Errata_01.ipynb |
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# + pycharm={"name": "#%%\n"}
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... | examples/pyterrier_ltr_features.ipynb |
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imp... | flow_test.ipynb |
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import matpl... | 03-Data-Visualization-Exploratory-Data-Analysis/Data Visualization and EDA Lab.ipynb |
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# # MNIST Digits - Classification Using SVM
#
# In thi... | 8. Machine Learning-2/3. Support Vector Machines/5. Handwritten Digits recognition Assignment/MNIST+-+SVM+Assignment+Solution.ipynb |
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import pandas as pd
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# **Brief Honor Code**. Do the homework on your own. Y... | labs/Lab07.ipynb |
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#Preprocessing
#Standard Scaler
# xi - mean(x)/st... | Preprocessing.ipynb |
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# ## Sentiments Analysis of tweets tweeted in context ... | sentiment_analysis.ipynb |