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# # Constrained optimization using scipy
#... | _build/jupyter_execute/notebooks/opt/08 Constrained optimization using scipy.ipynb |
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# # t-SNE
import nump... | Visualisation.ipynb |
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# # Betfair predictions for the 2019 vote
#
# ![predic... | scicomp-master/vote2019/analysis.ipynb |
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# # Random Forest Classifier -... | notebooks/python/dsg2021/random_forest_label3_with_detritus.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "height": 36} id="XqhnaAncB... | ANN_Implimentation_Demo - 26th Sep/ANN_Implimentation_Demo - 26th Sep.ipynb |
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import os
os.environ['CUDA_VISIBLE_DEVICES'] = ''
fro... | corpus/goemotions/translate-geomotions-part2.ipynb |
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# ## Creating a simple visualization.
# In this exerc... | Lesson03/Exercise03/exercise03_solution.ipynb |
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import pandas as pd
import warnings
warnings.filterwar... | Chapter10/XGBoost_Model_Deployment-Copy1.ipynb |
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# + language="... | _episodes/05-loop.ipynb |
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# # Collaboration and Competition
#
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#
# In this noteb... | p3_collab-compet/MADDPG/Tennis.ipynb |
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from itertools import product
import time
import ... | arxiv_pull.ipynb |
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import numpy as np
import tensorflow as tf
# What we ... | depr/Cell Maps.ipynb |
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# # !/usr/bin/env python3
# -*- coding: utf-8 -*-
... | src/stokesletsInPipe.ipynb |
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# # Introduction
#
# '
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# # Dynamic Programming
#
# Dynamic Programmi... | algorithms/dynamic.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | experimental/3_rnn_bilstm.ipynb |
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# ## Pandas for Data Science ##
# [Pandas Documentatio... | 02 The Basics/pandas_for_data_science.ipynb |
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# + [markdown] id="bIRn7Id03kis"
# # Mounting Google Drive
# + [markdown] id... | OPENBOOKQA_Rajasree/SIA_Model_Training_with_Roberta.ipynb |
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# # scikit-learn-pca
# Credits: Forked from [PyCon 20... | tests/python-scientific/scikit-learn-pca.ipynb |
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from ingred... | model/preprocessing_data.ipynb |
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import torch, sys
sys.path.insert(... | app/gnn_multalign_full_dataset_word_community.ipynb |
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# # Car Decor Sales Forecasting - LeatherSeatCovers
#... | Model Buidling/Models_LeatherSeatCovers.ipynb |
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# name: python38364bitmscprojectconda1b... | Notebooks/Notebook_14 Linear Rewrite.ipynb |
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import numpy as np
import pandas as pd
imp... | finance/basics/mean-reversion-2020-11-12-ZM.ipynb |
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import numpy as np
import time
import ... | 2D/Testing_Time.ipynb |
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# %matplotlib inline
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from misc ... | ROQ/Reduced Basis generation for a simple function.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Sentiment_Analysis_Gradient_Boosting_Score.ipynb |
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# # Introduction to loading data <img align="right" sr... | notebooks/01_Beginners_guide/04_Loading_data.ipynb |
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library(caret, quiet = TRUE)
library(base64enc)
library(httr, quiet ... | doc/preprocess/Impute/caret2sql-medianImpute-rpart-boston.ipynb |
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# ## Input to Chempy
# *Chempy* was developed with the... | tutorials/3-Chempy_inputs.ipynb |
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import os
os.environ['CHURN_DB']='churn'
os.environ['... | listings/py/run_churn_listing.ipynb |
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# %matplotlib notebook
# Import modules
import ma... | data/scripts/safety_analysis/spectrum_compare_with_ben_newt_mulitgroup.ipynb |
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# ## Built-in read/write functions
# create our text ... | 3-Chapter-3/Chapter_3.ipynb |
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import pandas as pd
df = pd.read_pickle('parking_eda.... | notebooks/old/Parking Violations EDA with Address_id and fine data.ipynb |
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# # Task 14 - Parameter Study Optimisation
#
# The pre... | tasks/task_14_parameter_study_optimisation/parameter_study_optimisation.ipynb |
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# # Advanced Lists
#
# In this series of lectures we w... | 14-Advanced Python Objects and Data Structures/05-Advanced Lists.ipynb |
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import scipy.optimize as sco
import typing
import... | Backtesting - Max Sharpe Strategy.ipynb |
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# # Using Earth Engine and geemap for mapping surface ... | notebooks/chn_water_app.ipynb |
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import numpy as np
import cv2
import PIL
import ma... | .ipynb_checkpoints/AdvLaneFind-checkpoint.ipynb |
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# # Tarea de clase # 1
# **Programación I**
# ## Ejer... | ejercicios-tareas-proyectos/tareas/1_tarea.ipynb |
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#https://github.com/Azure-Samp... | azure_code/upload_data_blobstore.ipynb |
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org_data = pd.read_csv('C:/Users/... | data_codes/Strip Blank Space.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | notebooks/colab_imdb_gpu.ipynb |
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# + [markdown] deletable=false editable=false
# # <img... | content/homeworks/hw08/notebook/cs109b_hw8_to_submit.ipynb |
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# # Self-Driving Car Engineer Nanodegree
#
#
# ## Proj... | Lane_Lines.ipynb |
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# # CuSignal API Guide in Greenflow
#
# The convolutio... | gQuant/plugins/cusignal_plugin/notebooks/convolution_examples.ipynb |
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# # Feed Forward Loops
#
# We're now going to use some... | ode-modeling2-instructor.ipynb |
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import os
import json
import pickle
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... | model_notebooks/RAS/model.ipynb |
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# # Explore Models
# Refer to the script of Explore mo... | src/Explore Models_wq.ipynb |
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# # Problems in numerical earthquake modeling
#
# Last... | tutorials/overview/problem_description.ipynb |
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#... | intro-to-pytorch/Part 7 - Loading Image Data (Exercises).ipynb |
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# # Simple Quantum Algorithms (part 1)
#
# <div class=... | notebooks/summer-school/2021/lec2.1.ipynb |
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import matplotlib.pyplot as plt
im... | hodlon/.ipynb_checkpoints/binance-nov-checkpoint.ipynb |
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# # Reshaping data: Portland housing developments
#
# ... | workshop/11. Reshaping data => Portland housing developments - working copy.ipynb |
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# # Criando um banco de dados SQLite em Python
#
# Doc... | Cap06/Notebooks/.ipynb_checkpoints/Criando um banco de dados SQLite-checkpoint.ipynb |
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# # 语言模型
#
# 语言模型（language model）是自然语言处理的重要技术。自然语言处理中最常见的数据是文本数据。我们可以把一段自然语言文本看作一段离散的时间序列。假设一段长度为$T$的文本中的词依次为$w_1, w_2, \ldots, w_T$，那么在离散的时间序... | chapter_recurrent-neural-networks/lang-model.ipynb |
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# ##### Copyright 2019 The TensorFlow Author... | site/en/tutorials/images/segmentation.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | FIS.ipynb |
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# <font size="+5">#04. Why Neural Networks Deepl... | II Machine Learning & Deep Learning/01_Why Neural Networks Deeply Learn a Mathematical Formula/.ipynb_checkpoints/01session_why-neural-networks-deeply-learn-a-mathematical-formula-checkpoint.ipynb |
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# # 3. Data Pre-processing
# Data pre-processing tech... | notebooks/Chapter 3.ipynb |
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# + [markdown] id="vXmCbC6j8Mew"
# # Run predictions with shifting data distr... | src/notebooks/RGBShiftPredict.ipynb |
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from datetime import date
from gs_quant.common import ... | gs_quant/examples/01_pricing_and_risk/00_rates/010002_calc_swap_price.ipynb |
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# import necessary libraries - Monir
import pandas as ... | code-for-fetching-data/PUBLIC_DISPATCHSCADA_DATA-monir.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Assignments-colab/ASSIGNMENT_1.ipynb |
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# # ISM Benchmark
#
# Benchmark NaiveISM and fastISM.
... | notebooks/ISMBenchmark.ipynb |
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# ### netcdf example for PMEL... | Arctic Heat/ALAMO Analysis/NetCDF_ALAMO-Xsection.ipynb |
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# # Regular Expressions
# - Definition
# - Match Vs Se... | 14_RegularExpression.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | FinRL_StockTrading_NeurIPS_2018.ipynb |
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# <div style='background-image: url("../share/images/h... | notebooks/Workshops/ORFEUS_lisbon_2017_EIDA_webservices.ipynb |
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# # Coronavirus 2020 - effectiveness of measures taken... | notebooks/germany.ipynb |
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# + [markdown] id="view-in-github" colab_... | Copy_of_LS_DS_432_Convolution_Neural_Networks_Assignment.ipynb |
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# ## This is a custom section
#
# This is part of a fu... | tests/data/experiments/lr-with-warnings/custom1.ipynb |
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# + [markdown] _cell_guid="f2ef93cd-2bc2-4681-bc6e-9a9... | courses/fast-and-lean-data-science/benchmark_keras_multilingual_bert.ipynb |
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import csv
import os
from slugify import slugify
with... | ptna_idf/ptna_generate.ipynb |
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# **Chapter 18 – Reinforcement Learning**
# _This not... | 18_reinforcement_learning.ipynb |
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# # Welcome to nbdev
# > ... | nbs/index.ipynb |
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torcs_kill = 'killall torcs-bin'
torcs_cmd = 'to... | src/python/Evaluator.ipynb |
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# ## Batch Classify a Group of Pieces to ONE output fi... | .ipynb_checkpoints/CRIM_Classify_Corpus-checkpoint.ipynb |
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# Übung: Canary Deployments
# -----------------
#
# In... | data/jupyter/09-4-Deployment-Canary.ipynb |
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... | exercises/2.43.ipynb |
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from tensorflow.keras.datasets import reuters
(train_... | Classificacion Multiple.ipynb |
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import quantiacsToolbox
import matplotlib.pyplot as pl... | Windows_folder/Python Notebooks/Quantiacs_LR_v1.1.1.ipynb |
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# ### Let's look at the distribution of a markov chain... | projects/PCA_to_DCA/notebooks/Markov_chain_distributions_2x2_case.ipynb |
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# # Multirotor validator eCalc
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import ipywidgets ... | notebooks/.ipynb_checkpoints/12-Multicopter_Validator_eCalc-checkpoint.ipynb |
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# # Neural Network to predict success of Kickstarter c... | Neural_Net_Kickstarter_success_2017.ipynb |
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from astrometry.util.fits import *
# %matplotlib inlin... | where-gifs.ipynb |
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#default_exp nbdev_tests.multiple
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# ## PCA GPU Acceleration Demo
# *Principal component... | 2-CuML/2. PCA_Demo.ipynb |
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# + [markdown] id="Tce3stUlHN0L"
# ##### Copyright 2020 The TensorFlow Author... | model_card_toolkit/documentation/examples/Standalone_Model_Card_Toolkit_Demo.ipynb |
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# # Create input for DeCiFer
#
# This notebook provide... | scripts/input_from_varscan/create_input.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Assignment6_DelosReyes.ipynb |
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# <script async src="https://www.googletagmanager.com/... | Tutorial-ETK_thorn-IDScalarWaveNRPy.ipynb |
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import numpy as np
import pandas as pd
import statsmod... | books/stats/chapter2/OLS_Regression_Results.ipynb |
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# # ReactiveX in Python - baseline
# A baseline experi... | nbs/ReactiveX/rx-widgets-baseline.ipynb |