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from matplotlib.pyplot import plot, figure... | practice /Drawing.ipynb |
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# # Materials API - Exercise 2: U... | workshop/lessons/04_materials_api/MAPI Exercise 2 Sloutions.ipynb |
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# # Analysis of combined data sets Cf... | analysis/Cf072115_to_Cf072215b/create_bhp_nn_1ns.ipynb |
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using GeometryTypes: HyperRectangle, FlexibleConve... | test/notebooks/sv_degeneracy_test.ipynb |
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# # Notes
#
# Use state-level version of en... | predictions/other_modeling/Model Comparisons.ipynb |
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# # DeepPurpose Deep Dive
# ## Tutorial 2: Training a ... | Tutorial_2_Drug_Property_Pred_Assay_Data.ipynb |
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# + [markdown] id="8QxfmwOzapfE"
# Convolu... | Supervised Learning/Neural Networks/Convolutional Neural Networks (CNN)/Convolutional_Neural_Networks_(CNN).ipynb |
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import pandas as pd
import numpy as np
import matplotl... | House price prediction in Banglore/House_price prediction .ipynb |
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# + deletable=false editable=false
# Initialize OK
fro... | materials/sp20/hw/hw10/hw10.ipynb |
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# # Using the PyTorch JIT Compiler with Pyro
#
# This ... | tutorial/source/jit.ipynb |
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# + id="GJRp0mYP-UP3"
import os
import glob
import numpy as np
from tensorflo... | paint/Uni.ipynb |
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# # Notebook 07: Complex ML Regre... | jupyter_notebooks/Notebook07_ComplexMLRegression.ipynb |
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// ## Minimum Value
// +
//load ImageJ
... | notebooks/1-Using-ImageJ/Ops/stats/min.ipynb |
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from abc import ABC, abstractmethod
fr... | src/notebooks/Data selection.ipynb |
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# ### Load Libraries
import torch
import torch.nn as ... | Main/MemNet/VanderMode Memnet/VanderMode Memnet.ipynb |
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# # "Transformer spam classifier"
# > "Spam classifier... | _notebooks/2021-06-04-transformer-classifer.ipynb |
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dataname="synthetic"
patch_size=256 #size of the ... | visualization_densenet/make_hdf5_synthetic_circles_and_boxes.ipynb |
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# # What's this TensorFlow business?
#
# You've writte... | spring1718_assignment2_v2/TensorFlow.ipynb |
# -*- coding: utf-8 -*-
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# # Table
#
# These tables are ... | tests/base/ipynb/tables.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # M... | python/Module-04-More_Control_Flow_Tools.ipynb |
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# # Solving problems by Searching
#
# This notebook se... | search.ipynb |
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from pymongo import MongoClient
from bs4 import Be... | notebooks/extract_more_business_info.ipynb |
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# <div class="alert alert-block alert-info... | 5.2-Numpy2D.ipynb |
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# # Simple RNN Encode-Decoder for Translation
#
# **Le... | notebooks/text_classification/solutions/5_rnn_encoder_decoder.ipynb |
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# # Plongeur
#
# A *topological d... | scala/plongeur-spark/plongeur-nb/Plongeur Mixture.2 - Density 0.3.51.ipynb |
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# %matplotlib inline
import os
import netCDF4
import ... | examples/7_aem_test_3d_voxel_netCDF_output.ipynb |
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# # Welcome!
# Below, we will learn to implement and t... | Pong/pong-REINFORCE.ipynb |
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# # Title
#
# **Author:**
#
import os
imp... | backend/business_module/notebooks/_generic.ipynb |
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# # <center><span style="color:#64AE2E">... | Projeto8_Preprocessamento.ipynb |
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from qiskit import IBMQ
from qiskit import ClassicalRe... | Shor/Shor (b=5, N =6, r=2)-Multiplier(2x2) ibmqx2.ipynb |
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# + [markdown] id="RsgY5HrarUmw"
# # Description for Modules
# pandas-> read ... | DIabetes-20220107T024304Z-001/DIabetes/Diabetes_Model.ipynb |
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# #ฤฐNSTANCE VE ATRฤฐBUTE ler ve
# # Sฤฑnฤฑf iรงindeki fo... | OOP 1.ipynb |
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# # Active Qubit Reset on QCS
# In this notebook, we ... | notebooks/qcs-only/ActiveQubitReset.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
... | Ads mas efectivos.ipynb |
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import sys
sys.path.append('../')
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# # 02. Neuralnet Q Learning example
#
# Neuralnet Q Learni... | 02_Neural_net_Q_Learning/02_Practice_Neural_net_Q_Learning.ipynb |
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# import libraries
import numpy as np
import os
import... | A2/cleansing/2.0-sh-data-cleansed.ipynb |
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# !pip install PyPDF2
import PyPDF2
myfile = open('U... | NLP_COURSE/00-Python-Text-Basics/PDF.ipynb |
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# # Transpose of a Matrix
#
# In this set of exercises... | Object-Tracking-4/23-Matrix-Transpose.ipynb |
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# # [DFA Preliminaries](./DFASlide.pdf)
logis(x) ... | DFA_OLD.ipynb |
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from muzero import MuZero
mz = MuZero('anytrading')
mz... | eval.ipynb |
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# # Open converted files
# #... | docs/source/open-converted.ipynb |
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temp = 212.0
def toCelsius(fahrenheit):
retur... | courses/unstructured/BigQuery-test-solution.ipynb |
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# # Tunable Coupler (MIT)
# +
# %load_ext autoreload
... | docs/circuit-examples/qubit-couplers/TwoCrossmonsTunableCoupler.ipynb |
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# ## Introduction
# Forest fires are a natural disast... | Final Project (4).ipynb |
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# (2mins)=
# # A 2-minute primer
#
# ## Self-managing experiments
# With Mandala, the way you compose experiments out of function calls and
# ... | docs/_build/html/_sources/intros/two_mins.ipynb |
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# # FantAPPalla server
#
# Documenting each of the fun... | Database/App_server_pietro-checkpoint.ipynb |
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# + [markdown] papermill={"duration": 0.01... | evaluations/sars-cov-2/3-index-genomes.case-20000.ipynb |
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# # Try It Yourself
#
# With all you've learned, you c... | notebooks/python/raw/ex_5.ipynb |
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# # Handling missing values
# A singelton type Mis... | Day 10/missing_data.ipynb |
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# + [markdown] colab_type="text" id="h2q27gKz1H20"
# ##### Copyright 2019 The... | tensorflow_examples/lite/model_maker/demo/text_classification.ipynb |
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# # Using inaFaceAnalyzer API: image analy... | tutorial_API_notebooks/quick_start-image.ipynb |
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# # Challenge Part 2: Have Customers Narrow Their Trav... | Vacation_Search.ipynb |
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# # lab
#
# Laboratory tests that have have been mappe... | notebooks/lab.ipynb |
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file = "data/a... | import_texts.ipynb |
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from TT_utilities import Case, NL_METHODS
from scipy.s... | Notebooks/csv_tests.ipynb |
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import os
import pandas as pd
directory = '/datasets/... | .ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# #Correlation Functions
#
# ###Contents
#
# - [Two-Ti... | qutip-notebooks-master/docs/guide/CorrelationFunctions.ipynb |
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import pandas as pd
from six.moves import cPickle as ... | 03_18_portea_challenge/portea_ml_train_validate.ipynb |
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# # Auto Correct in Python
#
# Given a word w, find th... | notebooks/autocorrect/Creating our own auto-correct-Problem Statement.ipynb |
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# + [markdown] id="-mh4fYe9vvuk"
# # Model Evaluation
#
# + [markdown] id="N... | W3/Evaluation_Metrics (1).ipynb |
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# # Stellargraph example: Graph Attention Network (GAT... | demos/node-classification/gat/gat-cora-node-classification-example.ipynb |
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# # Exercises for "Hands-on with Pydata: How to Build ... | RecommenderSystem.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:ap-nort... | AmazonForecast_vs_XGBoost/notebook/01_separate_dataset.ipynb |
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import numpy as np
import pandas as pd
import networkx... | Rec Cosin Sim.ipynb |
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# # Rationale
# EDA of ATC ontology to other ontology ... | notebooks/eda-atc-ontology-mappings.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | udemy-ds-bc/Py_DS_ML_bootcamp/00-my-practice/02-Python-for-Data-Analysis-NumPy/numpy_ex1_JY.ipynb |
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# + [markdown] id="YUV3eJoaHC-T"
# ![JohnS... | tutorials/Certification_Trainings/Healthcare/18.Chunk_Sentence_Splitter.ipynb |
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# # 2021 June Embed
# ## Imports
# +
import sys
impo... | notebooks/2021_june_embed/2021_june_embed.ipynb |
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# **Today concepts**
# * Dimensionality Reduction
# ... | Day-9/Day9_24sep2020.ipynb |
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# + ... | xetra_eod_download.ipynb |
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# ## Scattered data interpolation via unregularized or... | notebooks/scattered-linear.ipynb |
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# Two runs for both the UMLfit algorithms
# +
import... | Task4_test.ipynb |
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# # Geo-Distribution of Tourism #
#
# The tourism indu... | Mobility and Tourism - WS2/airbnb_analysis/Geo_Distribution_Tourism.ipynb |
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# + [markdown] slideshow={"slide_type": "s... | beginner-lessons/interdisciplinary-communication/ic-1.ipynb |
# -*- coding: utf-8 -*-
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# # ๋ณ์,์๋ฃํ,๊ธฐ๋ณธ ํจ์, ์์
๊ณต๊ฐ
# - ๋ณ์๋ ๋ถ์์ ํ์ํ ์๋ฃ๋ฅผ ์ผ์์ ์ผ... | _notebooks/2022-02-04-R.ipynb |
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# +
import numpy as np
import Interpolation
# %matpl... | Interpolation/python/Example.ipynb |
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# # Geometric operations
#
# ## Overlay analysis
#
# I... | geometric-operations.ipynb |
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# + deletable=true editable=true
from IPython.display ... | Fletcher_Reeves, DFP, BFGS.ipynb |
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# # Creation of a contact sequence
#
# In this second ... | notebooks/2_contact_sequence_creation.ipynb |
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# # File Input Output
# Persistent Data Storage
# Typ... | 6. Files.ipynb |
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import torch
from run_pplm_regress_train import Discri... | Untitled.ipynb |
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# ### Introduction to Nilearn and image manipulation
#... | code/03-basic_image_manipulation.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="... | AAAI/Learnability/CIN/Linear/ds4/size_2000/synthetic_type4_Linear_m_5.ipynb |
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# # ํค๋ณด๋ ๋จ์ถํค
#
# notebook์ ์ฌ์ฉํ๋ ๋ฐ ์ ์ฉํ ๋ช ๊ฐ์ง์ ๋จ์ถํค๋ฅผ ์๊ฐํ๊ณ ์ ... | assets/tutorial/shortcuts.ipynb |
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# # **Production Engineering**
# # *Reservoir Inflow ... | Reservoir Inflow Behaviour.ipynb |
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# # NN tension prediction for SUPERball
# ### ... | NN_tension_pred_relu.ipynb |
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# # Linear Regression Project
import pandas as pd
imp... | LINEAR REGRESSION - COMPANY SALES.ipynb |
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# + [markdown] colab_type="text" id="aklJxkHBD5aR"
# #... | notebooks/end-to-end-structured/labs/2_automl_tables_babyweight.ipynb |
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# <a href="https://colab... | hw7_Architecture_Design.ipynb |
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# <a href="https://colab... | BERT_on_IEMOCAP_for_ERC.ipynb |
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# # Visulalization
import matplotlib.pyplot as plt
im... | Visulalization-matplotlib.ipynb |
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# *Call expressions* invoke [functions](functions), wh... | ipynb/02/Calls.ipynb |
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im... | firerate_vs_time/firerate_vs_time.ipynb |
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import mat... | jupyter_notebooks/plot_datasize_sensitivity.ipynb |
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# # Introduction
#
# The goal of this assign... | code/assignment1/basic_evaluation.ipynb |
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# ## Description
# In this notebook, I use an image (m... | Simulations/0. Image simulation.ipynb |