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# %matplotlib inline
import sys
import pprint
imp... | test/notebooks/Quad.ipynb |
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from Crypto.PublicKey import RSA
from Crypto.Cipher im... | examples/encrypt.ipynb |
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# + [markdown] colab_type="text" id="0b22pthXn4Nz"
# #... | simulate_curve_lstm_gru_jm.ipynb |
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# ## Tutorial interativo
# O pacote `PhaseDi... | Tutorial_interativo.ipynb |
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# # 3.0 Ligand-Receptor Sym-vs-Asym Differential Regul... | notebooks/3.0_Ligand-Receptor_Sym-vs-Asym_Differential_Regulation.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # N... | doc/src/NeuralNet/demo-NeuralNet.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Assignment9_Esteban_Evangelista.ipynb |
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# # DpicNet
#
# DpicNet a deep neural network aimed to achieve good performan... | src/main.ipynb |
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# + [markdown] id="LRHTRZG42RbR"
# # Least... | _build/html/_sources/notebooks/02/lad-regression.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | app/perpec_OFF.ipynb |
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from __future__ import print_function
import numpy... | Deep Learning - Project 2/18L-2097/Part1.ipynb |
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# ![Callysto.ca Banner](https://github.com/callysto/cu... | _build/jupyter_execute/curriculum-notebooks/SocialStudies/Globalization/languages-an-important-identity-in-globalizing-world.ipynb |
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# # Validation
#
# Here we tested accuracy, True Posit... | validation.ipynb |
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# # Simple Customer Insights
# _version 0.7_
#
# Febru... | samples/sci.ipynb |
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# # Employee Attrition Prediction
# #### Add import s... | Notebook/.ipynb_checkpoints/Employee_Attrition_Prediction_-checkpoint.ipynb |
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# ## Hierarchical Clustering
import matplotlib.pyplot... | Jupyter-Notebooks/Cluster.ipynb |
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import requests
from config import settings
def buil... | api_research.ipynb |
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# # DataFrame creation in Python
# ## Loading data fr... | 01-data-frames/python-data-frames.ipynb |
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# + [markdown] nteract={"transient": {"deleting": false}}
# # ... | modules/Intune/notebook/Intune_module_setup.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] i... | notebooks/villes-analysis.ipynb |
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# # Title: msticpy - GeoIP Lookup
#
# ## Int... | docs/notebooks/GeoIPLookups.ipynb |
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import numpy as np
import pandas as pd
imp... | notebooks/Aaron.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | parametric_representations/Hermite_curves_lec_3.ipynb |
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import json
import re
of = open('raw_code_all_pe... | data_collection/gather_all.ipynb |
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# # Data Preparation for Feature-Based Cluster Queries... | notebooks/query-data-preparation-new-data.ipynb |
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# # Task 12: Hands on Neural Nets
#
# _All credit for ... | 12_hands_on_neural_nets.ipynb |
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# # Analyzing Indiv... | Individual Currency Analysis.ipynb |
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# + [markdown] deletable=false editable=fa... | Least_Squares_Exercise.ipynb |
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# # 求解十字激光端点与交点
#
# 1Z实验室出品
# **1ZLAB ：Make Things Eas... | src/LaserCrossCenter.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Spotify_Workshop_final.ipynb |
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import quandl
mydata = quandl.get('WIKI/AAPL.1')#,api... | Data Sources/Quandl.ipynb |
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import uuid
import json
import requests
from req... | SMS-Authorization.ipynb |
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# + [markdown] id="avmEdecZgjlq"
# ### Gau... | LabExercise7Answer.ipynb |
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# # T81-558: Applications of Deep Neural Ne... | t81_558_class_12_02_qlearningreinforcement.ipynb |
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# %load_ext autoreload
# %autoreload 2
import tictactoe
import ... | .ipynb_checkpoints/cprofile_ttt-checkpoint.ipynb |
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import pandas as pd
import numpy as np
import seaborn ... | AI Invasion Hackathon/dsn_hack2.ipynb |
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# + code_folding=[0]
# just imports
# %load_ext autore... | notebooks/SimpleVAE.ipynb |
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# # Predicting the costs of used cars
# ### Features... | Car_Price_Project.ipynb |
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# + [markdown] colab_type="text"
# # Text classificati... | examples/nlp/ipynb/text_classification_from_scratch.ipynb |
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# + id="dB69OBzHyn-8" colab_type="code" colab={"resour... | K nearest neighbours/ML-KNN/assignment/ML-ASGN-KNN-02/CODE/employee_absenteeism_knn.ipynb |
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# # PV181 Seminar 01 - RNG (python)
#
# This notebook ... | PV181_RNG_python.ipynb |
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# # Toy Process A
#
# Normalise the raw data table bet... | examples/toyA.ipynb |
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# + [markdown] id="uPw_GwXUD_0_"
# Demo co... | course_notes/AMATH582-Lec24.ipynb |
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# # Bases de données avec Python
#
# > Cours NSI Termi... | _notebooks/2020-06-25-nsi_t_PythonSql.ipynb |
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# ## Sample5.1 Single parameter Bayesian m... | sample5.1_SingleParamsModel_binomial.ipynb |
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def polynomial(x, coeff):
y=sum([coef... | Exercises/QuantEcon/Introduction/Essentials/Exercise2_Polynomial.ipynb |
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# ### Monte Carlo Simulation with Python
#
# Notebook ... | notebooks/Monte_Carlo_Simulationv2.ipynb |
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# # Deep Learning Toolkit for Splunk - Causalnex
# Th... | notebooks/causalnex.ipynb |
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# + [markdown] colab_type="text" id="KMI2k-oBsS08"
# _... | module3-classification-metrics/LS_DS_233_Classification_Metrics_Imbalanced_Classes.ipynb |
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import sqlite3
X = sqlite3.connect('SalesDBNEW.db')
... | Sales Analysis(SQL).ipynb |
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# # Input and output for Onsager transport calculation... | docs/source/InputOutput.ipynb |
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import os
os.chdir('/home/yash/Desktop/tensorflow-... | CIFAR/.ipynb_checkpoints/ex_lass_signum_no_fixed-step-length-CIFAR10-M1-epoch100-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="PH-b-S2... | demos/demos_databases_apis/neo4j/official/graphistry_bolt_tutorial_public.ipynb |
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# # GLM: Model Selection
# +
# %matplotlib inline
imp... | docs/source/notebooks/GLM-model-selection.ipynb |
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# Before you start creating custom scorers, make sure ... | notebooks/Custom Scorer.ipynb |
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# # Numpy
# ## Mengingat list
# - *powerfull*
# - Ko... | Bagian 1 - Pengenalan Python untuk Data Science/4. Numpy.ipynb |
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# # Optimization Methods
#
# Until now, you've always ... | 01_advanced_topics_machine_learning/assignments/notebooks/2_Training/HW02_Sol_Optimization_methods.ipynb |
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import pandas as pd
df = pd.read_csv("amazonreview.csv... | Frequency_analysis/frequency_of_word.ipynb |
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# name: python38864bittorchx86condad5999c... | 01 Tensor.ipynb |
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# # Computer Vision Nanodegree
#
# ## Project: Image Captioning
#... | 3_Inference.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'><img sr... | tsa/jose/TSA_COURSE_NOTEBOOKS/04-Time-Series-with-Pandas/.ipynb_checkpoints/07-Time-Series-with-Pandas-Project-Exercise-SET-TWO-checkpoint.ipynb |
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import csv
import random
import nltk
from nltk.tok... | text_classification_nltk.ipynb |
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# # Metric Learning with the Shogun Machine Learning T... | doc/ipython-notebooks/metric/LMNN.ipynb |
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# # Building a matrix for numerical methods using a La... | notebooks/tutorials/matrix_creation/numerical_matrix_building_tools.ipynb |
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# # Deep research of electrocardiograms
# In previous... | tutorials/IV.Research.ipynb |
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# + [markdown] id="0S96dkjmRR_j" colab_type="text"
# [... | files/spring2020/16-intro-nlp/02-corpus-simple.ipynb |
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# # WS2332 - Project 7 - Lecture 2
# <NAME>
# <div>
# <im... | LabSession_1_Intro2ML.ipynb |
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# # Generative Adversarial Networks with MedNIST Datas... | examples/notebooks/mednist_GAN_tutorial.ipynb |
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import os
import pandas
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#input_file_name = 'data/... | prepare_latest_rankings.ipynb |
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# ## Homework: Multilingual Embedding-based Machine Tr... | week01_embeddings/homework.ipynb |
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SOLUTION = """
- - - - 1 - - 2 - -
1 2 - 1 2 - 1 - - 1... | src/puzzle/examples/gph/Make Your Own Fillomino.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplot... | nbs/dl2/03_minibatch_training.ipynb |
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#
# ## Basics of Computation in Python
#
# ### Python... | .ipynb_checkpoints/ComputationBasics-checkpoint.ipynb |
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# # Entrainement - Set vins
# ## Abstract
# L'analys... | Exploration statistique - ML - Grid search - DNN - Clustering.ipynb |
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# # Debug trained MCTS agent
# +
# %matplotlib inline
... | experiments/debug/debug_mcts.ipynb |
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# # Matplotlib Tutorial
# Have you ever t... | Plot tutorial/Matplotlib-Tutorial-English-Version.ipynb |
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animals = ["cat", "cow", "dog", "bull"]
my_information... | Practice/04-13.ipynb |
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# # Code to clean and concatenate csv file and initiat... | python/.ipynb_checkpoints/Clean CSV files -checkpoint.ipynb |
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# # Writing out a USGSCSM ISD from a PDS3 Cassini ISS ... | notebooks/write_CassiniIssPds3LabelNaifSpiceDriver.ipynb |
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# <img src="../Master/NotebookAdd... | SAR_Training/English/HydroSAR/Lab2-SurfaceWaterExtentMapping.ipynb |
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import numpy as np
import pandas as pd
data = {
'... | 2.Python for Data Analysis - Pandas/Groupby.ipynb |
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# + [markdown] deletable=true editable=true
# # Analyi... | vvThesis_EEGRawSigna.ipynb |
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# # Training and Testing a Ranking Model
#
# Let's loa... | l2r_part2_experiment.ipynb |
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import h5py
import os
import subprocess
# ## Precurso... | tutorials/sad.ipynb |
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# # Solving classification problems with CatBoost
# [... | catboost/tutorials/events/intel_hands_on_moscow_oct_11_2019.ipynb |
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import pymongo as pm
client = pm.Mong... | .ipynb_checkpoints/Untitled-checkpoint.ipynb |
# -*- coding: utf-8 -*-
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# # Demo: a life-cycle mod... | 190623_LifeCycleWithOneShockOnConsumption/demo.ipynb |
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# imports
import os
im... | Practice.ipynb |
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import numpy as np
import pandas as pd
# ## Combine a... | vaxxfacts/cleaning_etl/Cleaning_File_Drafts/Reshaping_Data_For_Viz.ipynb |
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# # Polarization on Twitter
# ### By <NAME>
# ### I. ... | us.ipynb |
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# Dependencies and Setup
import matplotlib.pyplot ... | .ipynb_checkpoints/Vacation-checkpoint.ipynb |
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import ipycytoscape
import json
with open("DAGData.js... | examples/DAG example.ipynb |
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# # Stacked LSTMs for T... | 19_recurrent_neural_nets/02_stacked_lstm_with_feature_embeddings.ipynb |
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import pandas as pd
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import matplotl... | workspace/time-series/Untitled.ipynb |
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import numpy as np
import matplotlib as mpl
import mat... | Chapter02/Playing with polygons And shapes.ipynb |
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import tensorflow as tf
import numpy as np
node1 = tf... | intro-to-rnns/NN from Scratch.ipynb |
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# # Day 0: Mean, Median, and Mode
#
#
# `Task `
# Give... | 10 Days of Statistics/Day_0. Mean, Median, and Mode.ipynb |
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import psycopg2
class MyDB:
def __init__(self):
... | days/10-12-pytest/Day3.ipynb |
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import os
os.environ['CUDA_VISIBLE_DEVICES'] = '2'
im... | session/stemmer/lstm-bahdanau.ipynb |