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# # Training Neural Networks:
# ### Classification of ... | PyTorch/3. Training Neural Networks (MNIST Handwritten Digit Classification).ipynb |
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import pandas as pd
import numpy as np
import matp... | anxiety/mice/Analyze_EPM.ipynb |
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# %matplotlib inline
from skimage.color.adapt_rgb ... | Chapter 12/Section18_03_Filters.ipynb |
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# incomplete. was just using this to understand how pp... | LunarLander/OneActorPPO.ipynb |
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from arena_util import load_json
from arena_util i... | practice_sheet.ipynb |
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# ##### Python Encapsulation-Erişim Engelleme
class P... | BasicPythonExample.ipynb |
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# # 1. Rysowanie Dłonie
#
# Rozpoznawanie ... | .ipynb_checkpoints/Gesture Recognition-checkpoint.ipynb |
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# # Sequence to Sequence Classification by RNN
#
# - C... | tf.version.1/04.rnn/04.03.seq2seq.classification.LSTM.ipynb |
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# Author: <NAME>
import torch
import torch.nn as ... | predict_nn/lstm_pytorch.ipynb |
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# # Tutorial
# Jelle, updated May 2019
#
# This noteb... | notebooks/tutorials/strax_demo.ipynb |
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... | keras_basics/tf.keras_distributed.ipynb |
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# # Cube conversion
#
# This notebooks creates an opti... | datasets/01_Convert_cubes.ipynb |
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import numpy as np
import pandas as pd
from scipy impo... | inference/Rule-based_Data_Augmentation.ipynb |
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# <div style='font-size:2.3em;font-weight:bold'><cente... | .ipynb_checkpoints/memory_module_outline-checkpoint.ipynb |
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import tensorflow as tf
from... | python-sdk/nuscenes/map_expansion/evaluation/evaluation_mlp.ipynb |
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# # Counteracting Overfitting
#
# Overfitting is th... | Mod03/Exercise 01 - Counteracting Overfitting (PyTorch).ipynb |
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# + [markdown] colab_type="text" id="VbkyG_K1LSnC"
# C... | imaging/ml/ml_codelab/breast_density_auto_ml.ipynb |
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# # Unit Commitment with Energy Storage
#
# This is an... | 4_optimization_model_with_storage.ipynb |
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# # Explaining Answer Set Solving
#
# This is a (relat... | basics/guide-to-asp.ipynb |
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# Import all the necessary libraries
import numpy... | .ipynb_checkpoints/historical_view_prem_l-checkpoint.ipynb |
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#triangle of pattern
n=int(input())
i=1
while i<=n:
... | pattern.ipynb |
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with open("poem.txt","r") as f:
for line in f:
... | Data Structures/data_structures/4_HashTable_2_Collisions/Solution/exercise_poem_find_word_occurances.ipynb |
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# # Genome scale model reconstruction of the smut f... | code/iUma22_FASTA+KAAS.ipynb |
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# name: python3-azur... | Hands-on lab/notebooks/Deep Learning with Text.ipynb |
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# + id="kWXTCuo1sV1I" colab_type="code" colab={}
import pandas as pd
from ge... | day4.ipynb |
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# # I2Cの認識確認
# I2Cの認識状況を確認する
# !i2cdetect -r -y 1
# ... | notebooks/utils/jetutil.ipynb |
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inp =[1,1,5,1]
xnor, xor = 0, 0
for i in in... | leetcode/137_single_number_2.ipynb |
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from shared_notebook_utils import *
from statsmode... | data_analysis/audiocommons_ffont/tempo_estimation/paper_notebooks/Compare Percival14 variations.ipynb |
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// # Приклад полімор... | Notebooks/2econd/C_PlusPlus.ipynb |
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# from torchvision.transforms import ToTensor, Res... | nbs/_02_FractalDB_tutorial.ipynb |
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# * bytearray... | flask-web-api.ipynb |
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# # Working with imbalanced data
# In machine learnin... | docs/examples/imbalanced-learning.ipynb |
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# Copyright 2020 Google Inc. All Rights Reserved.
#
# ... | compression_experiments/npm_packages_compression.ipynb |
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# + [markdown] cellView="form" colab={"base... | examples/getting-started.ipynb |
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# + [markdown] papermill={"duration": 0.018154, "end_t... | feature engg/exercise-feature-generation.ipynb |
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# + [markdown] id="Fk1jFUCTqfSq"
# ## টোকেনাইজেশন, অক্ষরগুলোকে সংখ্যায় আনছি ই... | NLP_tokenization_unicodeBaki.ipynb |
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# ## Load libraries
# !pip install -q -r requirements... | my_notebooks/plates_leak.ipynb |
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# + [markdown] id="copyright-notice" colab_type="text"
# #### Copyright 2017 ... | ml/cc/exercises/fr/first_steps_with_tensor_flow.ipynb |
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# # Outlier Detection using EasyMiner API
#
# This exa... | EasyMinerCenter API examples/Outlier detection.ipynb |
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# ## Introduction
# In the previous post, we read abou... | 1_Basics/2_Tensor_Types.ipynb |
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# ## Tf-Explain technique of explaining neural ne... | notebooks/tf-explain/tf-explain.ipynb |
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# ## Building graph using Nobel_prize JSON data
# +
i... | examples/networkx/Nobel_prize_graph_model_one.ipynb |
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# # process multipage pdf of bank transactions
#
# pro... | analyse_bank_statements/process_single_month_bank_transactions.ipynb |
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import pandas as pd
import seaborn as sns
import n... | notebooks/stack_models_lagdiffs-old.ipynb |
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# # Specifying a Model
#
# One of the core features of... | docs/how_to_guides/how_to_specify_model.ipynb |
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import tensorflow as tf
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from combined_player import player_minutes_value
from ... | archives/_model_comparisons.ipynb |
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# # Volume and Surface are of a cone
# +
import math ... | Day 6 Assignment 2.ipynb |
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import pandas
import requests
# %matplotlib inline
fro... | H1B Data Job in Dallas.ipynb |
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# ## Predicting Survival on the Titanic
#
# ### History
# Per... | section-04-research-and-development/titanic-assignment/02-predicting-survival-titanic-solution.ipynb |
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# # Step 0: load necessary libraries
import xarray as... | 1_data_prep/CMIP_gridcell_temp_prep/CPU_MIROC-ESM.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | python/mergeSort_of_linked_list.ipynb |
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# # Introducing The... | blog/1.IntroducingTheIgnoringEstimator.ipynb |
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# # Lista Prodotti DOP - Italia
#
# La lista dei prodo... | Lista_Prodotti_DOP_IT.ipynb |
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import psycopg2
import config as creds
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# + [markdown] id="y3dwviL1Cpv1"
# # Data Loading
# + id="2Vmx8HBb0sdz"
impo... | Machine-learning-model/BestModel8.ipynb |
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// # TD8
// ## Tours d... | notebooks/TD8-solution.ipynb |
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# ## Performance Python
# Impo... | codedemos/CodeL3_Performance.ipynb |
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# # zip function
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# + [markdown] id="bnzPmx8P52UF"
# # Amostragem
# + [markdown] id="DTxzWPl_V... | populacaoeamostra/probability_sampling/Tipos de Amostragens e Comparativo.ipynb |
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# # Toy Examples of complex graph measures
# This scri... | analysis/ToyExamplesGraphMeasures.ipynb |
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# name: python38264bitdevconda06c7c692422b4cb59... | workshop/lessons/05_automated_dft/Exercises.ipynb |
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# + id="lJz6FDU1lRzc"
"""
You can run either this note... | tutorials/asr/Streaming_ASR.ipynb |
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# ## Assignment:
#
# Beat the performance of my Lasso ... | StudentsSolutions_old/13-Assignment-NievesMerino.ipynb |
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# + [markdown] id="_DWiFEBR_rf-"
# ## CSP 502 - Assignment 2 & 3 [FACE RECOG... | Assignment 2 & 3/Bhumiti - Assignment 2 & 3/Face_Recognition_Challenge.ipynb |
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# <script async src="https://www.googletagmanager.com/... | IllinoisGRMHD/doc/Tutorial-IllinoisGRMHD__harm_utoprim_2d.ipynb |
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# <!--<badge>--><a href="https://colab.res... | mlops-world/dynamic-quantization.ipynb |
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# _You are currently looking at **version 1.0*... | lab/week3/Module+2+(Python+3).ipynb |
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# # Changelog
#
# ### Version 18
#
# * Use additional ... | 02c_sklearn.ipynb |
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# # Read and write from Spark to SQL
# A typical big data scenario is ... | samples/features/sql-big-data-cluster/spark/spark_to_sql/spark_to_sql_jdbc.ipynb |
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# # USING PYTHON FOR ACCESSING DATABASE VIA SQL QUERIE... | Data Science and Machine Learning/Machine-Learning-In-Python-THOROUGH/PYTHON_SQL/01_Python_SQL_writers.ipynb |
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# ___
# # Simulación de escenarios de desescalada con ... | Escenarios_Covid19_Espania.ipynb |
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# + id="CGq7iPsZyiOD" colab_type="code" colab={}
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# # System building
# ## Import modules
# +
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# ------ Chapter 12 of MLAPP: Generalized Linear Models ------
#
#... | ExpFam_general.ipynb |
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from basicMod import showDfInfo
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im... | 2021-02-07_Class Examples/20210206_PandasGUI Examples.ipynb |
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# # Introduction to MicroQiskit
#
# *This workshop cov... | Introduction-MicroQiskit.ipynb |
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# # Problem Set 1: Descriptive Analytics
#
# * Authors... | ProblemSet1/.ipynb_checkpoints/MGT-415 PS1-checkpoint.ipynb |
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# ### HTML 데이터 파싱을 이용한 크롤링
# - 네이버 실시간 검색어 순위
# - ... | Crawling/07_requests_html.ipynb |
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# # Introduction
#
# This tutorial will exp... | 2016/tutorial_final/9/Document-Oriented Database and MongoDB Tutorial.ipynb |
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... | Python-Data-Cleaning-Cookbook-master/1_ImportingTabularData/importing_sql.ipynb |
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// # Array-based List
// https://op... | ArrayList.ipynb |
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# # Many questions at once
# From Python
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# # Recommending Movies to a User
# > We w... | _notebooks/2020-03-15-recommending-movies.ipynb |