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# %matplotlib inline
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# Adversarial Example Generati... | 08-deep-learning/labs/01_labs_DeepLearning/adversarial_fgsm_tutorial.ipynb |
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import numpy as np
import cv2
attendance = []
faceCasc... | Sathvick_OpenCV/percentage_of_face_detection.ipynb |
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import os
from shutil import copy2
import csv
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from IPython.display import display
from sklearn.d... | chapter01/practice.ipynb |
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# name: python37664bitpytorchconda0cdad03962454fdfb22b6d3ea1ad8fae... | Ch04_MP/4-1.ipynb |
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#save model Using joblib
import warnings
warnings... | final_models/Data Product/Lasso Model Rough Draft (1).ipynb |
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# %matplotlib inline
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# # The Lifecycle of a Plot
#
... | docs/plotting/matplotlib/lifecycle.ipynb |
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# # Sets, Collections, & Exception Handling
#
# ## Se... | w1/d2-day_2/sets_collections_exercise.ipynb |
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# # Min Heap Construction
# [link]()
# Do not edit the class below except for the buildHeap,
# siftDown, siftUp, peek, remove, and insert met... | algoExpert/min_heap_construction/solution.ipynb |
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# + id="eSi7LsrV29jM"
import pandas as pd
import numpy... | SVD/SVD.ipynb |
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# # Lab 6: Pandas
# In this lab, we'll work through some of ... | Lab6/Lab6.ipynb |
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import pandas as pd
import graphlab a... | src/Untitled.ipynb |
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# + [markdown] kernel="SoS" tags=[]
# # The `sos_targets` data ty... | src/user_guide/sos_targets.ipynb |
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# # Network
#
# Copyright (c) 2017 <NAME>
#
# Use of t... | network.ipynb |
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# + [markdown] colab_type="text" id="JS6jP7tpCrLr"
# #... | 4_Clasification_DigitRecognizer/.ipynb_checkpoints/3_DL_Multi_Layer_CNN_for_DigitRecognizer-checkpoint.ipynb |
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# Copyright 2021 NVIDIA Corporation. All Rights Re... | examples/inference_triton/inference-TF/movielens-inference.ipynb |
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# # cadCAD Tutorials: The Robot and the Marbles, part ... | tutorials/robot-marbles-part-4/robot-marbles-part-4.ipynb |
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# # 数据扩增
#
# 对训练集进行扩增，验证集和测试集不要动
# + tags=[]
# %matpl... | .ipynb_checkpoints/data_augmentations-checkpoint.ipynb |
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import pylab
import numpy as np
np.seterr(all='ra... | ejercicios/semana7-8/sistemas-lineales.ipynb |
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import os
import argparse
from plantcv import plan... | ultralite_manual.ipynb |
# -*- coding: utf-8 -*-
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Pkg.ad... | TensorNetworks/Density Operator.ipynb |
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# %matplotlib inline
#
# 강화 학습 (DQN) 튜토리얼
# =========... | docs/_downloads/9da0471a9eeb2351a488cd4b44fc6bbf/reinforcement_q_learning.ipynb |
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import tensorflow as tf
import script_config a... | raphael_temp/Local_List_Creation_(Pre-Filtered).ipynb |
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# # Using Pòlya-Gamma Auxiliary Variables for Binary C... | examples/04_Variational_and_Approximate_GPs/PolyaGamma_Binary_Classification.ipynb |
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# + [markdown] colab_type="text" id="C7oVbe_pLr3C"
# #... | NLP/Learn_by_deeplearning.ai/Course 3 - Sequence Models/Labs/Week 3/C3_W3_Assignment.ipynb |
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# # Basics Notebook
# This notebook will demonstrate h... | Basics.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
df... | Thinkful Program/Basic Stats and Probability/5.5 exercises/5.5 Exercises.ipynb |
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# # What is `torch.nn` *really*?
#
# ## A quick journe... | dev_nb/001a_nn_basics.ipynb |
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# # Hands-on example (Azure Resources)
# !python --ve... | notebooks/hands_on_example Azure Resources.ipynb |
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# ## 第3章 pandasでデータを処理しよう
#
# ### 3-10: データ可視化
# +
# ... | sample-code/notebooks/3-10.ipynb |
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# + [markdown] id="rOvvWAVTkMR7"
# # Introduction
#
# ... | TF2_eager_few_shot_od_training_tflite.ipynb |
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... | round/make_cuts.ipynb |
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import json
import pandas as pd
# # Load... | notebooks/Tokenize Wisesight Data.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Basic_Exercise_DS_Python3.ipynb |
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# hash: 9139ca13fc640d8623238ac4ed44beace8a76f86... | _notebooks/2021-03-17-data-augmentation-tabular-data.ipynb |
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# # More API Examples
#
# This notebook contai... | content/lessons/11/Watch-Me-Code/WMC3-More-API-Examples.ipynb |
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# # Generative Adversarial Network
#
# In this noteboo... | GAN/Intro_to_GANs_Exercises.ipynb |
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# + id="3516UUoRlaz8" colab_type="code" colab={}
lower = 1042000
upper = 7026... | Assignment(Day4)-B-7.ipynb |
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# # An Introduction to `pandas`
#
# Pandas! They are a... | 07/.ipynb_checkpoints/07 - Introduction to Pandas-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="TUZbVcBc89Kh" tag... | content/post/2020-matematica-financeira-estudo-de-caso-imovel/Notebook.ipynb |
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import pandas as pd... | code/python/notebooks/20210616_test_tokenizers.ipynb |
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# # Exercises for Chapter 3: Classification
# ### 1) ... | taylor_completed_exercises/exercises_03_classification.ipynb |
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# # ChromProcess Introduction Part 1
... | ChromProcess_Introduction_1.ipynb |
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# # Simularium Conversion Tutorial : Sprin... | examples/Tutorial_springsalad.ipynb |
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import cv2
import os
import numpy as np
import num... | DemoRun.ipynb |
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# # Introduction to Python
#
# ### Control Flow
im... | Exercises/Exercise_2_Control_Flow.ipynb |
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import n... | Data Models/BERT.ipynb |
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# + pycharm={"is_executing": false}
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# ## Training Notebook
# +
import tensorflow a... | serverless/predict-app/training.ipynb |
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# +
# import numpy as np
# # # !/usr/bin/env python3
... | head_Force/do_calculate_table/phase_map_v4_ecoC01B05_T0.04.ipynb |
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import pandas as pd
import geopandas
import contex... | Python-API/usecase-examples/multimodel-analysis-airroutes/00 Logon.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | chapter9/section9_2.ipynb |
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# %load_ext autoreload
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# + active=""
# <NAME>
# CIS 401 Research
# Place the ... | PythonFiles/ProcessPunctuation.ipynb |
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# + [markdown] deletable=true editable=true id="z67ODX... | Learning Notes/Learning Notes ML - 15 Learning More.ipynb |
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# # Finding Games
#
# To find a single game, use the `LeagueGam... | docs/examples/Finding Games.ipynb |
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#import datasets from sklearn library
from sklearn... | Dataset 1 - Heart Failure Prediction/Decision Tree Codes/.ipynb_checkpoints/test-checkpoint.ipynb |
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# # Try searching with time extent on new IOOS catalog... | CSW/.ipynb_checkpoints/data.ioos.us_time_extent-checkpoint.ipynb |
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# Importing the libraries
import numpy as np
import ma... | Stock Market RIL .ipynb |
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# <a href='http://www.holoviews.org'><img src="../../assets/pn_hv_gv_bk_ds_pa.png" alt="HoloViz logos" width="40%;" align="left"/></a>
# <div ... | examples/tutorial/exercises/Plotting.ipynb |
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import collections
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# # News Classifier
#
# Implementation of a news cl... | examples/cicd/sig-mlops-jenkins-classic/models/news_classifier/README.ipynb |
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import pandas as pd
import numpy as np
import matp... | notebooks/bcx_presentation_new_subset.ipynb |
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# Imports required packages
import numpy as np
fr... | Data-Centric_AI_Competition_DeepLearning.AI/Normalizing_Image_Size_and_Centering.ipynb |
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# #### linear
#
# - logistic regression
# - SVM(Suppor... | Notebooks/Day_38_Decision_tree/Decision_Tree.ipynb |
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# # 使用NAD算法提升模型安全性
#
# [;
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | examples/notebook/examples/shift_scheduling_sat.ipynb |
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# # Basic RigolWF... | docs/0-Basics.ipynb |
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# # Data Wrangling with Spark
#
# This is the code use... | tutorials/spark_dataframe_functions.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/Cuda_Workspace.ipynb |
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# ## Lets combine BBF and Citaty Info datasets
# +
im... | notebooks/create_final_datasets.ipynb |
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# # Intro to MongoDB and the Nobel Prize Dataset - Exe... | workshop/primer/03_MongoDB_part1/solved/exercise_01_solved.ipynb |
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import pandas as pd
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import num... | Jupyter Notebooks/recommendation_system.ipynb |
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# Import libraries
# ... | Logistic_Regression.ipynb |
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# + [markdown] origin_pos=0
# # Naive Bayes
# :label:`sec_naive_bayes`
#
# Throughout the previous sections, we learned about the theory of pr... | scripts/d21-en/tensorflow/chapter_appendix-mathematics-for-deep-learning/naive-bayes.ipynb |
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# ## Demo of changing face on Misty II via rerobots AP... | faceprint.ipynb |
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# ## Eziocon
#
# A Software Developm... | examples/Example-Oracle.ipynb |
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# + [markdown] id="SsF4jFqvHyoX"
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# # MNIST - Syft Duet - Data Scientist 🥁
# ## PART 1... | examples/duet/mnist/MNIST_Syft_Data_Scientist.ipynb |
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# # Activity #1: Heat maps
# * we'll start with buildi... | week07/spring2019_prep_notebook_week06_part1.ipynb |
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from os.path import join
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# # DSCI 572 "lecture" 5
# Lecture outline:
#
# - Vid... | data/text/lecture5_neural-networks.ipynb |
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# %preview data
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## Based on
# - https://towardsdatascience.com/an... | sample-code/l24-viz/Text t-sne.ipynb |
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# ## Train classifier by layers
#
# This notebook trai... | notebooks/2. Train classifier (one layer)/2-. Train classifier one layer [utterance level][60t].ipynb |
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# # A Linear Model for Bulldozers
# %load_ext autorel... | courses/ml1/bulldozer_linreg.ipynb |
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# # Fisheries competition 大自然保护渔业监测
# In this noteboo... | deeplearning1/nbs/lesson7.ipynb |
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# # Autoencoder network with MedNIST Dataset
#
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