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# # calculate confusion matrix - precision - recall - ... | Week_02/Titanic/5.2.4. Evaluating Classifiers.ipynb |
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# # Principal Component Analysis
#
# ... | Data Science and Machine Learning Bootcamp - JP/19. Principal-Component-Analysis/01-Principal Component Analysis.ipynb |
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# + [markdown] colab_type="text" id="JkUviKhSYLMF" sli... | JC2021/07_clim_anom_2021-11-15_practice.ipynb |
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# # High-level CNTK Example
import numpy as np
import... | deep-learning/multi-frameworks/notebooks/CNTK_CNN_highAPI.ipynb |
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# ### Generating `publications.json` partitions
# Thi... | metadata/20190731_bundesbank/publications_export_template.ipynb |
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# from sklearn
import pandas as pd
import seaborn as s... | app/deploy_ml/notebook/warcraft_token_prediction.ipynb |
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# # Quantum Process Tomography with Q# and Python #
#... | samples/interoperability/python/tomography-sample.ipynb |
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# # Week 1 - TEST
#
# ## Overview
# As explained in th... | lectures/Week1.ipynb |
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import pandas as pd
import numpy as np
import re
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# Prepare fake-factory library for the docker pysp... | notebooks/2016-01-20-Spark-resampling.ipynb |
# -*- coding: utf-8 -*-
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# # Key Distribution Kata
#
# The **... | KeyDistribution_BB84/KeyDistribution_BB84.ipynb |
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import math as m
import numpy as np
from numpy imp... | UI-PRMD-Transformed.ipynb |
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# # Authoring Hub Predictors
# NatML provides infrastructure that ... | examples/authoring.ipynb |
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# # softmax回归的从零开始实现
# :label:`sec_softmax_scratch`
#
# (**就像我们从零开始实现线性回归一样，**)
# 我们认为softmax回归也是重要的基础，因此(**你应该知道实... | submodules/resource/d2l-zh/tensorflow/chapter_linear-networks/softmax-regression-scratch.ipynb |
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# # Modify genbank parser to add f... | notebooks/adding_functionality_to_parser.ipynb |
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# plotting libraries
import matplotlib
import matplotl... | code/Jupyter/all-optical_MZ_modulator/test.ipynb |
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import matplotlib.pyplot as plt
# %matplot... | .ipynb_checkpoints/Predict-checkpoint.ipynb |
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# # Duel of sorcerers
# You are witnessing an epic bat... | duel/duel-Solution.ipynb |
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# # Module 6: Functions and Modules
# February 26, 202... | Lecturenotes/M06_Functions_and_Modules.ipynb |
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# %% [markdown]
# ##... | docs/user_guide/main_usage/lagrange_polynomials.ipynb |
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# Copyright (c) 2020. <NAME> (<EMAIL>)
#
# Licen... | Untitled.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | linear regression.ipynb |
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# ## Make sure this code run at the parent level of ra... | gathering_data.ipynb |
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# # Natural language inference: models
__author__ = "... | nli_02_models.ipynb |
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# # Quickstart Example with Off-Policy Learne... | examples/quickstart/opl.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Day 8/Copy_of_KalpanaLabs_Day8.ipynb |
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# # "Getting started with fast.ai"
# > "How to make th... | _notebooks/2020-12-09-Getting-started-with-fastai.ipynb |
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# ## Business Understanding
#
# I am interested in usi... | 2018.ipynb |
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# # Getting started with Thinc Framework
#
# This exam... | notebooks/examples/mnist/thinc_mnist.ipynb |
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# code for loading the format for the notebook
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# # Genetic algo for lighthouse sensor distribution on... | GA.ipynb |
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# ## Úkol 1 - Svařované krabičky... | courses/2375004/cvxpy/boxes.ipynb |
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import pandas as pd
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# + deletable=false editable=false
# Initialize Otter
... | project2/election-predictions/election-predictions.ipynb |
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import json
posts = json.load(open('posts.json'))
len(... | SAD NN.ipynb |
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# # Quantile Regressions
#
# This notebook illustr... | Ch24_QuantileRegression.ipynb |
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# # Inference example for trained 2D U-Net model on Br... | 2D/02_Inference.ipynb |
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# # Spooky Author Identification
# +
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import os
from dotenv import load_dotenv, find_dot... | data_science/code/modeling/pyruvate/ec_incorporation_pyruvate.ipynb |
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# Merge multi <NAME>
hans = Contrib... | django/notebooks/commit/Categorize photos.ipynb |
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# # EX 10. News Summarization
#
#
# 텍스트 요약
# 상대적으로 긴 문... | EXP_10_news_sum.ipynb |
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# # LTR Model to Salient Concepts
# In this approach, ... | ranking/LTR.ipynb |
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# + [markdown] papermill={"duration": 0.010968, "end_t... | course/Natural Language Processing/word-vectors.ipynb |
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# # dask作为算力池
#
# 可以理解为dask的数据结构只是计算框架的一个语法糖,它的本质还是任务调... | src/数据清洗篇/工具介绍/dask/dask作为算力池.ipynb |
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# #### CW-09
# Atabak, Ehsan, Krista
#... | C_Compilation.ipynb |
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# Reference: [this colab pytorch implementation](https... | Notebooks/GCN/GCN.ipynb |
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# # Bayes (Part II)
import numpy as np
import matplotlib.pyp... | book/7_lab.ipynb |
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# # Testing Jupyter with gitpod
print(2 ** 8)
import... | JNTesting.ipynb |
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# # Importing FB Prophet for Time Series Fo... | main.ipynb |
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#importing libraries
import PIL
import numpy as np
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# + id="biGrpEVhCfa0" executionInfo={"status": "ok", "timestamp": 16129793611... | s3MG(s).ipynb |
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# # Operadores lógicos
#
# Os operadores lógicos em Py... | assunto-6_operadores_logicos/Operadores_logicos_e_bitwise.ipynb |
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# ## Bike Share in Washington D.C.
# +
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import sys
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# # Boundary Conditions
#
# In this workbook we are go... | BoundaryConditions.ipynb |
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# # Generators Homework
#
# ### Problem 1
#
# Create ... | 01-Iterators and Generators Homework.ipynb |
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impor... | courses/deep_learning/op_loss.ipynb |
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import psi4
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import sys
sys.path.app... | dev/Bas_print.ipynb |
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# !pip install Augmentor
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p = Augment... | augment.ipynb |
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##Loading the necessary packages
import numpy as np
i... | kaggle/ocr try1.ipynb |
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# # Learn Scientific Computing with Python
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# The tex... | Lec000_NumericalPython.ipynb |
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imp... | Data Clean Part/DataClean_OneMonth_Lyft_Line.ipynb |
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# name: python37964bitespecializacao... | modulo1/1-scripts-estruturais/notebooks/1-geracao-de-lista-de-base-de-dados-sem-classes.ipynb |
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# + [markdown] id="vSHg24UVDI3I" colab_type="text"
# L... | module4-logistic-regression/LS_DS_214.ipynb |
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from local.torch_basics import *
from local.test impor... | dev/examples/camvid.ipynb |
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data = '''
{
"name":... | Coursera/Using Python to Access Web Data/Week-6/Excercise/Worked-Example-JSON.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | module1-statistics-probability-and-inference/LS_DS_141_Statistics_Probability_and_Inference.ipynb |
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# #### This is forked from https://github.com/ghgr/H... | HFT_Bitcoin-master/hftbitcoin.ipynb |
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# # ... | src/graph_notebook/notebooks/04-Machine-Learning/Neptune-ML-SPARQL/Neptune-ML-01-Introduction-to-Object-Classification-SPARQL.ipynb |
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# # Gap Framework - Computer Vision
#
# In this sessio... | train/session 3.ipynb |
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# # Day 15
# +
class Actor:
def __init__(self... | 2018/Advent.ipynb |
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# # TDA with Python using the Gudhi Library
#
# # Bu... | Tuto-GUDHI-simplicial-complexes-from-distance-matrix.ipynb |
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# + id="h8mk2niHSn1S" colab_type="code" colab={"base_uri": "https://localhost... | day2_visualization.ipynb |
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import cv2, os, json, math, time, tqdm
import pandas a... | converters.ipynb |
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# %load_ext autoreload
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from nb_005 im... | dev_nb/007_wikitext_2.ipynb |
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# <a href="https://colab.research.google.com/github/be... | libretas/1c_reglin.ipynb |
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# ... | src/visualization/written_project_visualisation.ipynb |
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# Get From https://github.com/BlaBlaBlazzz/Fake_News_c... | Practice/PyTorch/NER_test/Fake_news_identification.ipynb |
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# ## Counting sort
# El algoritmo counting sort se ba... | EDyA_II/1_sort/3_Counting sort.ipynb |
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# %load_ext autoreload
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# + colab={} co... | notebooks/scraper_2.ipynb |
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# # <span style="color:Maroon">Short Term XgBoost Mode... | Dev/BTC-USD/Codes/05 Short Term xgboost Model.ipynb |
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# ## Feature Generation and Dataset Preparation
# +
#... | data_processing.ipynb |
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# + [markdown] ein.tags="worksheet-0" slideshow={"slide_type": "-"}
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#... | 5_social_networks/3_node_importance/assignment_3.ipynb |
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# + id="jJQd-lY4CvOx"
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from sklearn i... | xgboost/xgboost_jupyter_example_001.ipynb |
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import numpy as np # linear algebra
import pandas as p... | data_processing/append_data.ipynb |
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# # Approximate Training
#
# Recall content of the last section. The core feature of the skip-gram model is the use of softmax operations to ... | 02_word_embedding/approx-training.ipynb |
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# # DATA 601 Final Project
# # Severe Thunderstorm Cli... | Notebooks/thunderstorm_sunspot_EDA.ipynb |
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import datetime as dt
cd = dt.date.today()
print(cd... | Y5 Version/Basic rough.ipynb |
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# # Test Your Skills
#
# *Author: <NAME>*
#
# *Copyrig... | solutions_do_not_open/are_you_really_sure/are_you_really_really_sure/05_Test_your_skills_solution.ipynb |
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import pandas as pd
from scipy import sparse
from skle... | UAS_SISTEM_PENUNJANG_KEPUTUSAN/Collaborative Filtering/Collaborative Filtering Dummy Dataset.ipynb |
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# #### Author: <NAME>
# # Trees
# * A tree is a data... | Trees/Tree.ipynb |
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s='FLuFFy'
print s.lo... | _posts/Untitled3.ipynb |
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# # 8 Puzz... | 8-Puzzle-Solver.ipynb |
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# >>> Work in Progress (Following are the lecture note... | cs229_ml/lec06-NaiveBayes-SVM.ipynb |
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# # Synopsis:
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from scipy import misc
from scipy import ndimage
i... | CaseStudies/Canny_Edge_Detector/Simple_for_Readme.ipynb |