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# # Master hindcast extractor
#
# My latest code for o... | notebooks/master_hindcast_extractor.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Chapter 5/ Exersize 6. Using line plots to examine trends in continuous variables.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="BYOOWvihbSH2" outputId=... | 1DCNN_IRIS_Pytorch.ipynb |
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# # Overview
#
# This library lets you do... | docs/overview.ipynb |
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# + [markdown] id="mrBPXM4wWs1c"
# # Data Preprocessing
# This notebook aims ... | data_preprocessing.ipynb |
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import numpy as np
import torch
from torch.utils.d... | demo.ipynb |
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import pandas as pd
housing_df = pd.read_csv('HousingD... | Chapter10/Exercise141/Exercise141.ipynb |
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# # Car Insurance Profit/Loss, a Monte Carlo Simulatio... | insurance-monte-carlo.ipynb |
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# # Kamień milowy nr 2
import pandas as pd
import num... | Projekty/Projekt2/Grupa1/Chrzuszcz_Fic/Features_engineering.ipynb |
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# MLP for Pima Indians Dataset with 10-fold cross vali... | dlwp/dlwp-diabetes-ch9-gridsearch.ipynb |
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# # Modeling and Simulation in Python
#
# Chapter 20
#... | code/Orbital_Homework.ipynb |
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# # Quering vertically partitioned data as if it is on... | notebooks/1.0-SB-querying-vertically-partitioned-data-simplest-case.ipynb |
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# # Pyro in Orbit
# [Pyro](https://github.com/pyro-pp... | docs/tutorials/pyro_basic.ipynb |
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import os
import csv
import numpy as np
from gensim.mo... | task2AdditionalStrategy/Task2AddtionalStrategy.ipynb |
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# Notation:
# SAL- small area
# PP- police precinct
#... | crime_stats_compute.ipynb |
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import numpy as np
import pandas as pd
import scipy as... | notebooks/5.0_comparing_magnifications/1.0_20x_raw.matching_reference.global_thr.ipynb |
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import sys
sys.path.append('../scripts/')
from kf imp... | section_graph_slam/graphbasedslam_2d_sensor1.ipynb |
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import matplotlib.pyplot as plt
import... | analysis/archive/FIG_vamp_vs_gap.ipynb |
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# ## Spin fermion transforms
#
# Chemistry problems in... | misc/notebooks/tutorials/digital_quantum_simulation/spin_fermion_transforms.ipynb |
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#Import required libraries
import cv2
import numpy as ... | Dilation Jumping Window.ipynb |
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from bs4 import BeautifulSoup as bs
import... | arxiv.ipynb |
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import numpy as np
import matplotlib.pyplo... | examples/bloodpressure.ipynb |
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import numpy as np
import random
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# # An example of how to plot result with the result .... | paper_results/result_plot_example.ipynb |
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# # Operationen und ihre Umkehroperationen
#
# + **Add... | Jahr 1/M/Terme/Operationen und ihre Umkehroperationen.ipynb |
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# _This is Part III of Data Visualization with Python.... | .ipynb_checkpoints/Intro to Data Viz with Python (Part III)-checkpoint.ipynb |
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# + [markdown] id="vi... | mnist/Colab_Notebook_MNIST_Do_Label_Shift_Adaptation.ipynb |
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import re
import random
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import ... | Semantic Segmentation.ipynb |
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# # Strategy Pattern
# 1. It belongs to Behavioral Pat... | behavioral/strategy.ipynb |
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# ### Google Scholar Citation Scrape
#
# C... | files/google_scholar_citation_scrape.ipynb |
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import numpy as np
x = np.array([1,3,4,5])
print(x... | Python_For_Financial_and_Algorithmic_Trading/02-NumPy/Numpy_Knowledge_List.ipynb |
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include __DIR__ . '/vendor/autoload.php';
use Rubix\... | examples/rubix-tutorial.ipynb |
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# # For loop
#
# In Python, an iterable is an object ... | python-deepdive/deepdive1/section02/section_02_12.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Stephen_Lupsha_LS_DS_211_assignment.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | optimization/Genetic_Algorithm_TSP.ipynb |
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# # LeNet Lab
# ![LeNet Architecture](assets/images/le... | assets/notebooks/LeNet-Lab-For-Traffic-Signs-V1.ipynb |
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# L... | module2-random-forests/LS_DS_222_assignment.ipynb |
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import numpy as np
import seaborn as sns
import matplo... | examples/hist.ipynb |
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# ## 前言
# 
#
# ## tensorflow 用来
# 真实的场景中，... | RecommendSystem/.ipynb_checkpoints/4.recommendation_system_learning_using_tensorflow-checkpoint.ipynb |
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from collections import Counter
from pathlib impor... | Get Most Frequent Tokens.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# <h2 style="color:green" align="center">Machine Learn... | Linear Regression/India_per_capita-2030_improved.ipynb |
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# Before you begin, execute this cell to import numpy ... | coding_assignments/solutions/07_Variational_Circuits.ipynb |
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# %matplotlib inline
import numpy as np
import ite... | Jupyter Notebooks/LeNet5-Combined.ipynb |
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# Open Cinema Databa... | examples/hello.ipynb |
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#### Solve various implicit functions using cvxpy
impo... | optimization/solver.ipynb |
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# ## Model validation the wrong way
from sklearn.data... | Hyperparameters-and-model-validation.ipynb |
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# * Convolutional neural networks apply a filter to an... | conv_layers.ipynb |
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# # Calling tabular and geospatial data with NEON APIs... | scripts/function_scratchscripts.ipynb |
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# # Description
#
# * Calculating summary tables (eg.,... | ipynb/bac_genome/fullCyc/trimDataset/dataset_summary_tables.ipynb |
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# **[Pandas Home Page](https://www.kaggle.com/learn/pa... | 04 Pandas Certificate/exercise-data-types-and-missing-values.ipynb |
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import pandas as pd
import csv
with open("weather... | src/intermediate_+_working_with_csv_file_+_data/Basic_25_working_with_csv.ipynb |
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# # Ch `02`: Concept `02`
# ## Evaluating ops
# Impo... | ch02_basics/Concept02_evaluating_ops.ipynb |
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import pandas as pd
import numpy as np
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import time, os, re
from tqdm import tqdm
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from gs_quant.models.risk_model import FactorRiskM... | gs_quant/documentation/05_factor_models/examples/0000_get_factors_from_factor_risk_model.ipynb |
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# # Tutorial Dataset
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# Before working on a d... | notebooks/introduction_dataset.ipynb |
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# # "A Caption Generator Full of Curiosities"
# > "A c... | _notebooks/2020-05-15-A-Caption-Generator-Full-of-Curiosities.ipynb |
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# # My First Jupyter Project
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# Your are in this clas... | In Class Demonstrations/Fall 2020/Project 1 - My First Jupyter Project Download.ipynb |
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# # Watch Me Code 1: Variables And Types
name = "Ton... | content/lessons/03/Watch-Me-Code/WMC1-Variables-And-Types.ipynb |
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using ImageIO
using Images
using SignedDistanceFie... | ijulia/Image SDF.ipynb |
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import pandas as pd
draft_df = pd.read_csv('beershee... | static/data/beer.ipynb |
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# # NOAA Data Source
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# This notebooks shows how to u... | notebooks/examples/NOAA_API.ipynb |
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import streamlit as st
import pandas a... | Untitled.ipynb |
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# # Predicting banking crises in Asia: 1800 - 2016
# -... | predicting-occurence-banking-crises-asia.ipynb |
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import os
import json
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import numpy as ... | tape9-to-decay.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Projeto_11.ipynb |
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# ### Reconstruction with a custom network.
# This no... | notebooks/Parametric_UMAP/03.0-parametric-umap-mnist-embedding-convnet-with-reconstruction.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | SpinorBECSimulation/MeanField/.ipynb_checkpoints/RF rotations-checkpoint.ipynb |
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# %matplotlib inline
import numpy as np
import mat... | pysal/contrib/viz/mapping_guide.ipynb |
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import requests
import time
from bs4 import BeautifulS... | 2018_06_21_Requests_Review_Data_Crawling.ipynb |
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import pandas as pd
tsv = "/work/isabl/home/isabl... | indels_wgs/indels.ipynb |
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# + [markdown] id="GL-Ff208Eprc" colab_type="text"
# # Introduction
#
# This ... | auxiliary_real.ipynb |
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# ### Comparison between graph genomes with consensus genome
# We const... | part3_consensusgenome/analysis/part3_consensusgenome.ipynb |
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import numpy as np
import pandas as pd
import pickle
f... | sklearn_housing_predictor_model/train_model.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | studiesw3s.ipynb |
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import pandas as pd
annotations = pd.read_table('data... | load_tsv.ipynb |
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## this script will be used to write a... | app/python_scripts/read_output_write_path.ipynb |
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# <body>
# <section style="border:1px solid RoyalB... | introds/hw/L6-Statistics/statistics.ipynb |
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# chapter1
# -
# !pip install statsmodels
import... | python-new-statistics/part5.ipynb |
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# + [markdown] tags=[]
# # Assignment 1: P... | old/assignment1.ipynb |
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from itertools import combinations
from pokemon_e... | Test_Notebook.ipynb |
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# %matplotlib inline
from catplot.ep_components.ep_can... | examples/energy_profile_examples/canvas_automatic_adjust.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | Others/PyTorch for Deep Learning and Computer Vision/Convolutional Neural Networks.ipynb |
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# Copyright 2020 Verily Life Sciences LLC
#
# Use of t... | notebooks/site_activation_demo.ipynb |
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# # **Using the STLAB in asynchronous mode... | notebooks/making_video_files_for_STLAB.ipynb |
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# # %matplotlib inline
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import matp... | scripts/.ipynb_checkpoints/particle filter-checkpoint.ipynb |
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# # Settings
EXP_NO = 19
SEED = 1
N_SPLIT... | experiments/exp019.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"} tags=[]
# ... | notebooks/403-action-recognition-webcam/403-action-recognition-webcam.ipynb |
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# # Exercise 1
# Write a subclass called `Rcircle` of ... | lectures/L10/Exercise_1.ipynb |
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# + [markdown] heading_collapsed=true
# ### 由于这部分代码在Sk... | 脚本/Apriori.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | 02-Logistic Regression Project.ipynb |
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# # Contents
#
# * [DataFrames](#DataFrames)
# * [Sele... | Python/pandas.ipynb |
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from IPython.display import YouTub... | Day01/PythonTutorial.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # N... | numpy/2. NumPy Exercises - Solutions.ipynb |
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# # <font color='blue'>Data Science Academy</font>
# #... | Apache Spark/Twitter-Sentimental-Analysis/02-Cap10-Spark-Streaming-Twitter.ipynb |