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# ### Hello World using Flask
# %pwd
import os
hello... | notebooks/4.0-ak-building-machine-learning-api.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Tensorflow/Course 2 - Part 4 - Lesson 2 - Notebook (Cats v Dogs Augmentation).ipynb |
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# !git clone https://github.com/omriallouche/text_clas... | notebooks/2a_optional_train_word_embeddings.ipynb |
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# + [markdown] slideshow={"slide_typ... | challenge-1.ipynb |
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# + id="B8vMLarc_KQH" executionInfo={"status": "ok", "timestamp": 16357616067... | Chapter 5/Page_40.ipynb |
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# # Chicago Crime Prediction
#
# The model forecasts h... | courses/machine_learning/deepdive2/production_ml/labs/samples/core/ai_platform/local/Chicago Crime Research.ipynb |
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# <a href="https://colab... | data_extract_code/wcde.ipynb |
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# <img src="../images/aeropython_logo.png" alt="AeroPy... | notebooks_completos/090-Ejemplos-Yukovski.ipynb |
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# # Supplemental Information:
#
# > **"Clonal heteroge... | src/figure6.ipynb |
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# <a href="https://colab... | Concept_in_Python.ipynb |
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# # Mini-batch Stochastic Gradient Descent
#
# :label:`chapter_minibatch_sgd`
#
#
# In each iteration, the gradient descent uses the entire tr... | _10 optimization/minibatch-sgd.ipynb |
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# # Xarray-spatial
# ### User Guide: Pathfinding
# ---... | examples/user_guide/7_Pathfinding.ipynb |
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# %pip install gensim
# +
import s... | notebooks/dataproc_mimic_III.ipynb |
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# + [markdown] id="df8f1bba"
# # **Predict... | submissions/Keshav_IIEST .ipynb |
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# + [markdown] colab_type="text" id="2E9PSVGar_P2"
# #... | lecture_2/05. Functions.ipynb |
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# + [markdown] id="XhQf5bN2vrFV" colab_type="text"
# # Semantic parsing with ... | demo/notebooks/seq2seq_tutorial.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as p... | permute.ipynb |
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# <a href="https://colab... | Data_Preperation.ipynb |
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# + [markdown] slideshow={"slide_type": "s... | Lab 4.ipynb |
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# +
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i... | dev/descriptives/customer_clustering_German.ipynb |
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# # Jigsaw unintended bias in toxicity classification ... | part1.ipynb |
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# # Seminar 02: Naive Bayes from scratch
# Today we w... | 02_math_recap/day02_naive_bayes.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | O2ctubre.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
% m... | Applied_Machine_Learning_S22/aml-06-linear-models-classification/aml-06-linear-models-classification.ipynb |
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# <a href="https://colab... | Intro_BellStatesCircuit.ipynb |
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# <a href="https://colab... | MML_zoomcamp_week3_classification_churn_prediction.ipynb |
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im... | notebooks/D2 - data_preprocessing.ipynb |
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# GeoViews is a [Python](http://python.org) library th... | datashader-work/geoviews-examples/Homepage.ipynb |
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import os
os.environ['CUDA_VISIBLE_DEVICES'] = ''... | pretrained-model/stt/conformer/export/base-stack-3mixed.ipynb |
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import os
import cv2
import h5py
import random
im... | Data Increase Process.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Notebooks/Classificacao_KNN.ipynb |
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# !pip3 install Orange3-Associate
# +
import pandas a... | Apriori-on-groceries.ipynb |
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import pymc... | pymc_discourse/linreg_predictions_xarray.ipynb |
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# 1. [Cross Validation](#CrossValidation)
# * [Value-b... | samples/jupyter-notebooks/DML Tips and Tricks (aka Fun With DML).ipynb |
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# # Example 1: Preprocessing Workflow
#
# This... | notebooks/example_preprocessing.ipynb |
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# description: Python 3 pr... | Aluminum/RT_3x2x0.25/Member_3_Tear-out_Resistance.ipynb |
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# # Autoencoder for Anomaly Detection with scikit-lear... | python-scripts/autoencoder-anomaly-detection/Python-Tensorflow-2.0-Kafka-Streaming-Ingestion-Keras-Fraud-Detection-Autoencoder.ipynb |
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# Load Julia packages (libraries) needed ... | notebooks/04/clip-30s.ipynb |
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import numpy as np
import pylab as plt
# %matplotlib i... | experimental/GradientEstimatesForPeaks.ipynb |
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# ### Loading up requir... | ENIAC-experiments/v-previous/quandl-v3.ipynb |
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# + [markdown] tags=[]
# # MHKiT River Module
#
# The ... | examples/river_example.ipynb |
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# %pylab inline
style.use('http://johannesfeist.eu/mis... | dev/bench_spmv.ipynb |
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# Definition for a binary tree node.
class... | tree/Traverse a Binary Tree.ipynb |
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# # Predicting beer style with a neural network model
... | notebooks/Final_model.ipynb |
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# title: First notebook (in R)
# params:
# out_file: NULL
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# + name="setup"
library(ggplot2)
library(dplyr)
library(readr)
# -
# # A plot.
ggplot(iris, aes(x=Sepal.Width, y=Sepal.Length, color=Species)) +
geom_point() +
theme_bw()
# # Export data
# + message=false
write_tsv(iris, params$out_file)
# ... | tests/notebooks/01_generate_data.ipynb |
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# # Support Vector Classification - Experimento
#
# O ... | tasks/svc/Experiment.ipynb |
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import os
import xarray as xr
from IPython... | eopf-notebooks/s3_products_data_structures.ipynb |
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# # Aula 12 - Autoencoders
#
# ### Temas:
# 1. Rep... | lessons/12 - Autoencoders.ipynb |
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# [![Open In Colab](https://colab.research.google.com/... | demo_DCD.ipynb |
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import datetime as dt
import matplotlib.pyplot as ... | Stocks Data.ipynb |
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# + [markdown] id="ZCf4_UTUWYXt"
# ## Step 0: Delete related dependency
# + ... | ast-attendgru.ipynb |
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# + [markdown] tags=[]
# # SOP0124 - List Keys For Encryption At Rest.
#
# ##... | Big-Data-Clusters/CU9/public/content/tde/sop124-list-keys-encryption-at-rest.ipynb |
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# # Ex2 - Getting and Knowing your Data
# This time w... | 01_Getting_&_Knowing_Your_Data/Chipotle/Exercises.ipynb |
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import numpy as np
import tensorflow as tf
dataset = ... | TensorFlow-2.0/01-TensorFlow Base/06-Tensorflow-Dataset-1.ipynb |
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# # Intro
#
# At the end of this lesson, you will unde... | tensorflow_1_x/7_kaggle/notebooks/deep_learning/raw/tut6_deep_understanding.ipynb |
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# +
import os
import cv2
import numpy as np
test_dirs... | capstone_benchmark.ipynb |
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# # Syft Duet for Federated... | notebooks/eXate_samples/pysyft/duet_multi/3.0-mg-american-bank.ipynb |
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# # Integers
# *Question 1*
#
# Find the type of the ... | Lesson03/Integers.ipynb |
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from sklearn.ensemble import RandomForestRegressor
imp... | scripts/train_test_thermal.ipynb |
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import warnings
import matplotlib.pypl... | Davide_Simone2.ipynb |
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import cv2
# Reading Image
image = cv2.imread("download.jfif")
... | Python/Image_to_Sketch/main1.ipynb |
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# We use the Microsoft Azure Anomaly Detector service ... | standalone/02_data_preparation.ipynb |
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# + [markdown] colab_type="text" gradient=... | LOTR_LSTM_Character_Level.ipynb |
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# # Video Ac... | analysis/Step0.GettingStarted.ipynb |
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import pandas as pd
nba = pd.read_cs... | DataFrames 1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | baselines/English/eng_mBERT_EDA.ipynb |
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# + [markdown] id="ICGQy3wfzynE"
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# <h1><img width="30"... | notebooks/05_PyTorch.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | Data_Review_Experimentation2.ipynb |
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# 导入数据集
# 数据集 -> 右边图标点击 -> 插入代码
from data_validator_pk... | jupyterlab-data-validator/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# # CSV command-line kung fu
#
# You might be surprise... | notes/bashcsv.ipynb |
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using DrWatson
@quickactivate "MEngProject"
using ... | notebooks/dev/.ipynb_checkpoints/test_img_dev-checkpoint.ipynb |
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import AlGDock.BindingPMF_plots
from AlGDock.Bindi... | Example/test_GB.ipynb |
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from pyspark.sql import SparkSession
f... | de1-2022/Lecture1_Example0_with_spark.ipynb |
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# # T81-558: Applications of Deep Neural Netwo... | t81_558_class_13_02_cloud.ipynb |
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# + id="VAYu3ISwwGks"
import numpy as np
import pandas as pd
import torch
i... | 1_mosaic_data_attention_experiments/3_stage_wise_training/alternate_minimization/effect on interpretability/type4_without_sparse_regulariser/10runs_every5_what_where.ipynb |
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# <h2>Creazione serie storica decessi COVID-19 conferm... | Modulo 3 - Analisi dati province complete/Creazione serie storica decessi COVID-19 confermati province complete.ipynb |
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# # Occupation
# ### Introduction:
#
# Special thanks... | 03_Grouping/Occupation/PySparkSolution.ipynb |
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# bestChiSq > 100 and ngoodobs > 100
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# # Elimination with Matrices (18.06_L2)
# > Linear Al... | _notebooks/2020-05-10-18.06_2_EliminationWithMatrices.ipynb |
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# %matplotlib inline
#
# Neural Transfer Using PyTorc... | deepml/pytorch-tutorial01/neural_style_tutorial.ipynb |
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# # Introducing the Keras Sequential API
#
# **Learnin... | preparing-gcp-ml-engineer/introduction-to-tensorflow/3_keras_sequential_api.ipynb |
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from arcgis.gis import GIS
from a... | arcgis_service.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="b_5p1xg77ilg" outputId=... | Amazon_notebook.ipynb |
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# + id="QUKJvStgL4b2"
# Importing the libraries here
... | accuracy_matrix_bert_2500-ENG.ipynb |
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# # Split Dataset
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# This notebook shows how to split... | split_data.ipynb |
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# # Get sorta big data
#
# ## Medicare Part B Payment ... | code.ipynb |
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# # NS delayes notification
#
# NS API address: https:... | ns_train_defact_notification/Archive/ns_train_defact_notification.ipynb |
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# #!/usr/bin/python3
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#from collec... | 2/notebook.ipynb |
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# <a id='topcell'></a>
# <h1> An Introduction to Pytho... | Python for Physics Classes and Objects.ipynb |
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import re... | notebooks/Doordash data preprocessing.ipynb |
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# ## Q_learning
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import gym
import math
import ran... | reinforcement_learning/Q_learning/Untitled.ipynb |
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# # Example 8.1: Piston Exergy Analysis
#
# *<NAME>, P... | examples/ME321-Thermodynamics_II/01 - Chapter 8 Exergy/Ex8.1 Piston Exergy Analysis.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | Smit/Sem V/ML/drive-download-20191116T123739Z-001/.ipynb_checkpoints/Lab2-checkpoint.ipynb |
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# %% [markdown]
# # ... | notebooks/Gentle-Intro-To-HARK-PerfForesightCRRA.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # W... | 200206-openrefine.ipynb |