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# <i>Copyright (c) Microsoft Corporation. All rights res... | scenarios/classification/11_exploring_hyperparameters.ipynb |
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from __future__ import division
import cv2
from ma... | Object Detection With OpenCV/ObjectDetectionOpenCV.ipynb |
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# # Time series
from __future__ import division
from ... | branches/1st-edition/ch10.ipynb |
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# # Vacuum Wavelength Conversions
#
# This notebook co... | docs/notebooks/Vacuum Wavelength Conversions.ipynb |
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# # Single cell TCR/RNA-seq data analysis using Scirpy... | templates/scirpy_basic_v0.0.3.ipynb |
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# for use in tutorial and development; do not include ... | examples/ex6_0.ipynb |
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"""
Starter code for exploring the Enron data... | Lesson06_Datasets_Questions/explore_enron_data.ipynb |
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# # Stage 1: Basic content search by tf-idf
# +
impor... | tfidf_search.ipynb |
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import matplotlib
matplotlib.use(... | Ariane_file_prep.ipynb |
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# # Combining the data
#
# Use ... | notebooks/milestone1_cmb_csv.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 05_transfer_learning_with_tf_fine_tuning.ipynb |
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import pandas as pd
import numpy as np
import json
po... | WORK/working/test1/pop_as_json.ipynb |
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# # T81-558: Applications of Deep Neural Ne... | assignments/assignment_yourname_class9.ipynb |
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# ### About the dataset :
For my first beginner proje... | Ham and spam.ipynb |
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# # Session 4: Visualizing Representations
#
#... | session-4/session-4.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="sR5znxX_zhO_" outputId=... | AI(BE)/Resnet_Model_Experiment.ipynb |
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# This script is used to extract Senti... | socMapping/StockSOC_ExtractPoints.ipynb |
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# # Factoring Polynomials with SymPy
# Here is an exa... | examples/Interactive Widgets/Factoring.ipynb |
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import numpy as np
im... | data/LogRegModel.ipynb |
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from yattag import Doc
doc, tag, text = Doc().tag... | notebook/procs-ofbiz-minilang.ipynb |
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# # Milestone 2 Task 1
# <NAME> (Student no. 28684314... | analysis/Hayward/milestone2_markdown.ipynb |
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# %pylab inline
from tqdm import tqdm_notebook
# # As... | Assignment 2/Assignment 2.ipynb |
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# + [markdown] id="tAsiR8a_p17E" colab_type="text"
# # bit.ly/fuseai4
# ## fo... | Session4/extra_for_mlxtend.ipynb |
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import pandas as pd
import numpy as np
import mat... | notebooks/02_Data_preparation_v1.0.ipynb |
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import matplotlib.pyplot as plt
from enmspring.spring ... | notebooks/.ipynb_checkpoints/boxplot_k_b0-checkpoint.ipynb |
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# %matplotlib inline
import cv2
import os
import s... | face-extraction.ipynb |
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# ## Color Bins Style
#
# Helper function for quickly ... | docs/examples/data_visualization/styles/color_bins_style.ipynb |
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# # UMAP Plotting (IE)
#
# ## Imports
# +
import sy... | vis-umap_300K_flags_IE_plots.ipynb |
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import pandas as pd
import numpy as np
from collection... | final/src/fund risk level.ipynb |
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# # Data exploration of the investement dataset
# One... | research_code/data_exploration/data_exploration_investment_dataset_ms2.ipynb |
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'''Importing the reqired libraries'''
import nump... | nlp.ipynb |
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# ### Singular Value Decomposition
#
# So far in this ... | lessons/Recommendations/2_Matrix_Factorization_for_Recommendations/1_Intro_to_SVD.ipynb |
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# # Summary
# # Imports
# +
import importlib
import ... | notebooks2/05-validation_homology_models_combined.ipynb |
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import os
import tensorflow as tf
from stackn import s... | tutorials/studio/quickstart/deploy_fedn_mnist.ipynb |
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# # Problem Statement
#
# To build a multi-headed mode... | CNNwithCharEmbedding.ipynb |
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# # Statistical Inference and Confidence Intervals
#
#... | Notebook/lesson-statistical_inference_confidence_intervals/starter-code.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | Sweden CSV analysis.ipynb |
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# # imgMS example usage
#
# imgMS is a python package ... | imgMS/imgMS_example.ipynb |
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import pandas as pd
import numpy as np
import dask.arr... | source/dask/dask_map_working.ipynb |
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# # Elastic Tensor Dataset
# This notebook demostrate... | notebooks/elastic_dataset.ipynb |
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import numpy as np
from matplotlib import pyplot as pl... | Python/NLP/Topic_modelling_NMF_SVD.ipynb |
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# # REINFORCE
#
# ---
#
# In this notebook, we will tr... | reinforce/REINFORCE.ipynb |
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# + [markdown] id="zL9RLHo4YfCP"
# # Setup
# + id="CS8RvR92lNT5"
# %%capture... | BERT_CTC/CNN_Clin_Trials_on_Cancer.ipynb |
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import tensorflow as tf
import os
# +
with tf.name_sc... | tensorflow/book_caicloud/chapter_9_2.ipynb |
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import pandas as pd
import pickle
import numpy as np
i... | notebooks/4_train_model.ipynb |
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import requests
from bs4 import BeautifulSoup
import r... | notebooks/1.00_rw_data_extraction.ipynb |
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# ## Modify Display Utils
# Utilities for collecting/... | docs_src/utils.mod_display.ipynb |
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from skimage.io import imread
from skimage.measure imp... | notebook/homework 5 workflow - two graph based features.ipynb |
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# # Comparing TCdata360 and Govdata360 indicator lists... | 2017-07-04-Compare-Govdata360-and-TCdata360-indicators-v2.ipynb |
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# <div style="font-size:30px" align="center"> <... | src/04_word2vec/00_antiquated/.ipynb_checkpoints/01_w2v_train-checkpoint.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplotlib i... | notebooks/03-practical/01-io.ipynb |
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# # Advanced Topic: Using External C++ Functio... | docsrc/examples/Using External C++.ipynb |
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import numpy as np
X = np.array([(2,3),(5,4),(9,6),(4... | KNN/KDTree.ipynb |
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# ### Idea Working Towards:
# - Load well with LASIO
#... | notebooks/wellio.js and lasio test.ipynb |
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# # Reddit Datasets
#
# ## Using [Pushshift](https://g... | src/reddit/Reddit API.ipynb |
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# ## 参考:
# https://www.cnblogs.com/wsine/p/5180778.htm... | algorithms/dbscan/dbscan.ipynb |
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# # Data Visualization in R
#
# In this example, we will be plotting two... | intro-iris-ggplot.ipynb |
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# ## Config
# %matplotlib inline
# %load_ext autorelo... | explore-dsb2017.ipynb |
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# <a href="https://colab... | Day 2.ipynb |
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import numpy as np
import pandas as pd
import os.path
... | CODE/.ipynb_checkpoints/22_calculate_kde_values-checkpoint.ipynb |
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# default_exp netwo... | nbs/networks.ipynb |
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# ### Imports
# %load_ext PWE_NB_Extension
from PW_e... | TC-Prov-Gen.ipynb |
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# # The Material... | workshop/lessons/04_materials_api/kittiphong.ipynb |
# -*- coding: utf-8 -*-
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# %load_ext autoreload
# %auto... | programs/parallels.ipynb |
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import pandas as pd
import matplotlib.pyplo... | notebooks/15-Adhoc-pending-breakdown.ipynb |
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# + [markdown] deletable=true editable=true
# # Notebo... | notebooks/pytorch-test-setup.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab... | tutorials/W1D3_MultiLayerPerceptrons/student/W1D3_Tutorial1.ipynb |
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#Author: <NAME>
#Code Purpose: Make Single JSON fo... | convertRootToNewJson_forEGamma-Combined.ipynb |
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# name: python38564bitfopconda92cc46f9b3c2401aa... | notebooks/EDA.ipynb |
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# #### New to Plotly?
# Plotly's Python library is fre... | _posts/python/style/shapes/shapes.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | BertRNN.ipynb |
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# # GPS
# Based on <NAME>'s method, I expand the ... | HW08/3.ipynb |
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import pandas as pd
# ## Series
s = pd.Series([3, ... | numpy/notebooks/01-Pandas Series and DataFrame.ipynb |
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# + jupyter={"outputs_hidden": false}
# %matplotlib in... | docs/notebooks/particle_stepper.ipynb |
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import praw
reddit = praw.Reddit(client_id='2j7m151wFh... | SCRAPPING/srapper-parallel-4.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 20202/pcd_20202_0901_intro_channels.ipynb |
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import cv2
import numpy as np
import matplotlib.pyplot... | Clock/Clock.ipynb |
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# # Videos Pipeline
# +
# Import everything needed to... | 11. Profiling Videos Pipeline.ipynb |
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import pandas as pd
import numpy as np
from sklearn.me... | cancer_detection/DHS_analysis/analysis/classification/DHS_log_reg_bootstrap/calc_CI_and_plot_ROC.ipynb |
# -*- coding: utf-8 -*-
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# # Distributed HPO with Ray Tune and XGBo... | ex_06_xbgboost_train_tune.ipynb |
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from pyspark.sql import SparkSession,H... | docker/workspace/teste_augusto.ipynb |
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# + slideshow={"slide_type": "skip"}
import scipy.ndim... | augmentation/augmentation-degradation.ipynb |
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# # データサイエンス100本ノック（構造化データ加工編） - Python
#... | docker/work/answer/ans_preprocess_knock_Python.ipynb |
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import pickle
import pandas as pd
import numpy as ... | code/02. Brunch Baseline - Popular Based Recommendation.ipynb |
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# # Data Preparation
# ## Import Libraries
import nu... | Credit Risk Modeling/Credit Risk Modeling - Preparation - With Comments - 4-1.ipynb |
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# Dependencies
from bs4 import BeautifulSoup
from spli... | mission_to_mars.ipynb |
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from pyarc import CBA,TransactionDB
from pyarc.dat... | notebooks/testing/predict_probability_test.ipynb |
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import matplotlib.pyplot as plt
import numpy as np
# ... | Untitled8.ipynb |
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from IPython.core.display import display, HTML
display... | collab/05 modeling with LSTM .ipynb |
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import nltk
from nltk.tag import StanfordNERTagger
en... | ner_news_whole.ipynb |
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# + id="zWFaAnmetOTr" colab_type="code" colab={}
from __future__ import print... | Pointer_Networks_Toy_Problem.ipynb |
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# + [markdown] id="vrm-gPCET1dB" colab_type="text"
# #... | src/Notebooks/omdb_viz_solution.ipynb |
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# ## Tests of code for plotting probability distributi... | jupyter-notebooks/plotting-density-matrix.ipynb |
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# Now we'll look at a more interesting and clearly ... | 2-poisson-inverse-conductivity/poisson-inverse-conductivity.ipynb |
# +
try:
import probml_utils as pml
except ModuleNotFoundError:
# %pip install -qq git+https://github.com/probml/probml-utils.git
import probml_utils as pml
import matplotlib.pyplot as plt
import numpy as np
try:
import pandas as pd
except ModuleNotFoundError:
# %pip install -qq pandas
import p... | notebooks/book1/13/mixexpDemoOneToMany.ipynb |
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# # Object Detection
# ## Import everythi... | ote_cli/notebooks/train.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | xgboost_direct_marketing_sagemaker_jp.ipynb |
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# # Cityscapes
# +
import tensorflow as tf
class Con... | notebooks/weakly-supervised/segmentation/cityscapes.ipynb |
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# # Time Series Analysis - I
# In Finance, most of th... | Time Series - I.ipynb |