code stringlengths 38 801k | repo_path stringlengths 6 263 |
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import igraph as ig
import numpy as np
import pickle
i... | pref_attachment_analysis.ipynb |
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# # Neural Machine Translation
#
# Welcome to your fir... | Neural_machine_translation_with_attention_v4a.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# Fil... | Assignments/03.5 Checkpoint - Kepler's Third Law.ipynb |
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import numpy as np
import matplotlib.p... | myexamples/pylab/BYORP4.ipynb |
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import os
import torch
import torchtext
from torch... | notebook/text_sentiment_sogoue.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
# ... | dhcSim/Resources/LoadProf/default/Untitled.ipynb |
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# ## 2. Feature_extraction_from_VGG16_to_InceptionResN... | SceneClassification2017/2. Feature_extraction_from_VGG16_to_InceptionResNetV2.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Class/PlaceHolders.ipynb |
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# # Display an image using Napari
# ### Initial setup... | examples/notebook.ipynb |
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# # Dash Price
# by: <NAME>
# ### 1. Read Dataset
i... | notebooks/11. dash_price.ipynb |
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# # Excercise 2
# ## Import packages
# +
impo... | 2.0-tl-image-filter.ipynb |
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# # SCTR
# SCTR是用来表达一个股票在一组股票里的相对强度，sctr_rank 为100表明最强... | test_refactor.ipynb |
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# # Convolutional Neural Networks
# ---
# In this note... | deep_learning_v2_pytorch/convolutional-neural-networks/cifar-cnn/cifar10_cnn_augmentation.ipynb |
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# + [markdown] deletable=true editable=true
# # Struct... | notebooks/linear_model.ipynb |
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# # VARMAX models
#
# This is a brief introduction not... | examples/notebooks/statespace_varmax.ipynb |
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# Time: O(n * s) + O(n * s) ~ O(n * s) where n -> ... | assignments/graph/Verifying an Alien Dictionary using Topological Algorithm.ipynb |
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# # <font color=Teal>ATOMIC and ASTRING FUNCTIONS (Pyt... | AFAString.ipynb |
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import os, glob
import numpy as np, pandas as pd, seab... | notebooks/Test Results.ipynb |
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# # Sentiment Analysis
#
# ## U... | Mini-Projects/IMDB Sentiment Analysis - XGBoost (Updating a Model) - Solution.ipynb |
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import os
import astropy
import numpy as np
from astro... | RedShift/SNIDRedshift.ipynb |
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# ## Using Python to Query MongoDB
# This ... | 02-Python/07-Python-MongoDB-QueryLab.ipynb |
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# ## Flow diagrams for our EAGE paper
# I use `graphvi... | analytical/notebooks/.ipynb_checkpoints/Graphs_EAGE_paper-checkpoint.ipynb |
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# # Lists
#
# ## Methods to be learned:
#
# - insert... | Lists.ipynb |
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# # Developing an AI application
#
# Going forward, AI... | Image Classifier Project.ipynb |
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# + [markdown] colab_type="text" id="_CMW13uMBlpk"
# #... | ja/01_Welcome_to_Chainer_Tutorial.ipynb |
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# %% [markdown]... | doc/source/notebooks/understanding/models.ipynb |
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# + slideshow={"slide_type": "-"}
"""This area... | 1-regression/1-linear-regression.ipynb |
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# # Potentially inappropriate prescribing of DOACs to people with ... | analysis/report_notebook.ipynb |
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# # StenoTexty
#
# Tento notebook analyzuje stenografic... | notebooks/Otazky_save.ipynb |
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# ## Mixup data augmentation
# + hide_input=true
from... | docs_src/callbacks.mixup.ipynb |
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# + id="29202d68"
import numpy as np
import matplotlib... | modules/module1/1a/SIP Task 1.ipynb |
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import requests
from IPython.display import display
im... | Area Stats.ipynb |
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def carre(x):
resultat = x*x
return resultat
... | 37_return.ipynb |
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SAMPLE_PATH = 'D:/OneDrive/Desktop/siim-acr-pneumothor... | ATTEMPT102.ipynb |
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# # NumPy Basics
# Importing
import numpy as np
# ##... | Lookups/NumPyBasics.ipynb |
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# ## File input / output
#
# see also: https://github.... | libraries/File input and output.ipynb |
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import networkx as nx
import random
import numpy as np... | CC6/BAnetworks_properties_KA.ipynb |
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# <!--NOTEBOOK_HEADER-->
# *This notebook contains mat... | notebooks/A.06-Namakan_Lake_Outflows.ipynb |
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import matplotlib.pyplot as plt
import pickle
impo... | scripts/notebooks/halo/Compare_cat_GM.ipynb |
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# default_exp metrics
# -
# # Metrics... | nbs/051_metrics.ipynb |
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import time
import astropy
import itertools
impor... | Espanol/nbody_es.ipynb |
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import requests
import pprint
import json
url = 'http... | notebook/requests_json.ipynb |
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# **Percentiles** For example, let's consider the size... | 1-Lessons/Lesson17/OriginalPowerpoint/.ipynb_checkpoints/bootstrap-checkpoint.ipynb |
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# pyt... | notebooks/1_distributed_genes/fastai_run3.ipynb |
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import os
from tqdm.notebook import tqdm
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def fatorial(n, show=False):
'''
-> Calcul... | .ipynb_checkpoints/EX102 - Função para Fatorial-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="rtiYQNdwGeFs"
# # QuickDraw Data
#
# If ... | extras/amld/notebooks/exercises/1_data.ipynb |
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# # Processing Me... | docs/Processing_Annotations.ipynb |
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import numpy as np
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# <img src="images/strathsdr_banner.png" align="left">... | boards/ZCU111/rfsoc_sam/notebooks/rfsoc_spectrum_analysis.ipynb |
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// # Create your first deep learning neural netw... | jupyter/tutorial/create_your_first_network.ipynb |
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# This notebook does the following:
# 1. Load raw redd... | notebooks/gamethread_title_parse.ipynb |
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# <i>How would you define Machine Learning?</i>
# <i>... | Hands-On Machine Learning with Scikit-Learn & TensorFlow/Cap.01 - The Fundamentals of Machine Learning.ipynb |
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# # Using autograd to calculate the gradient of a log-... | examples/toy/automatic-differentiation-using-autograd.ipynb |
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# # Processing data from GHTorrent
#
# ### PLEASE DO N... | code/0_data-preparation/1_fetching-ghtorrent.ipynb |
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# # Post-pandemic travel lodging
# <hr/>
#
# Investig... | code/past/prep_survy-Copy1.ipynb |
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# # Generate RBS Recommendations
#
# This notebook gen... | notebook/others/regression/generate_rbs_rec_with_cross_prediction.ipynb |
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#
# # Murnau SPARQL examples.
#
# +
# querying funct... | 5-sparql/.ipynb_checkpoints/sparql-checkpoint.ipynb |
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# # SVM中使用多项式特征
import numpy as np
import matplotlib.... | svm/svm-poly.ipynb |
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# # Universal concepts, preamble & glossary
#
# ## Typ... | Universal concepts, preamble & glossary.ipynb |
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# # Linear algebra in Python with NumPy
#
# In this l... | NLP_C1_W3_lecture_nb_01.ipynb |
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# # ASE2021 Hands-on Exercise
#
# Below are interacti... | docs/tutorials/hands-on-exercise.ipynb |
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# + colab={"base_uri": "https://localhost... | input/feedback-prize-2021/add_token_prediction copy.ipynb |
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import os
import ... | notebooks/scale_uv_optical.ipynb |
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# # Udemy Amazon Reviews extraction
import requests #... | Tablemate Reviews extraction and wordclouds from Python.ipynb |
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# ### Recommendations with MovieTweetings: Most Popula... | Movie Recommendation/Most_Popular_Recommendations.ipynb |
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# # UNIVERSIDAD NACIONAL DE CÓRDOBA#
# ## Fa.M.A.F – O... | Ejercicio2.ipynb |
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# +
import numpy as np
from matplotlib import cm
impor... | Visualizations/cifar10_attack_vis.ipynb |
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# Erasmus+ ICCT project (2018-1-SI01-KA203-047081)... | ICCT_hr/examples/02/.ipynb_checkpoints/TD-18-Geometrijsko_mjesto_korijena-checkpoint.ipynb |
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# Most examples work across multiple plotting backends, this example is also available for:
#
# * [Matplotlib NYC Taxi Connection](../matplotl... | examples/gallery/demos/bokeh/nyc_airport_connections.ipynb |
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import numpy as np
im... | deep_learning/uncertainty-deep-learning-master/06. Aleatoric-epistemic uncertainty (toy example).ipynb |
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import os
import getpass
from passlib.hash import pbkdf2_sha256
import crypt,... | .ipynb_checkpoints/pgguserdel-checkpoint.ipynb |
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import myutils as my
import pandas as pd
im... | notebooks_julia/4_similars.ipynb |
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# + [markdown] editable=true
# # Exploratory Data Anal... | EDA_input_data.ipynb |
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# # Navigation
#
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#
# ### 1. Start the Environmen... | Navigation.ipynb |
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# # Introduction
#
# Welcome! In this set of tutorials... | 0-basics.ipynb |
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import napari
from napari.utils import... | examples/mesh_binary_mask.ipynb |
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# # Data Gathering for Power Analysis
#
# We've previo... | 01_data_gathering.ipynb |
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# ### 3. SciPy (Linear Programming) and Application (... | Presentation - Optimization with Python P2.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Midterm/58015_CurveFitting_Yon.ipynb |
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# # Lab 04 : Train vanilla neural network -- demo
#
#
... | codes/labs_lecture03/lab04_train_vanilla_nn/train_vanilla_nn_demo.ipynb |
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import base58
import binascii
wif='<KEY>'
wif
first_... | notebooks/WIF_TO_PRIVATE_KEY.ipynb |
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import matplotlib.pyplot as plt
from sklearn.decom... | chapter14/ed2-ch14-s2.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Vetor_ordenado.ipynb |
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# ## **Install the required packages and dep... | focal_phi_loss_mendeley_acunet.ipynb |
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import warnings #... | src/forecast.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # MLFlow Pre-packaged Model Server AB Test Deployment... | examples/models/mlflow_server_ab_test_ambassador/mlflow_server_ab_test_ambassador.ipynb |
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import pandas as pd
movies = pd.read_csv(... | movies.ipynb |
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import matplotlib.pyplot as plt
import equations a... | template for your equations.ipynb |
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# # Lesson 3 Demo 1: 2 Queries 2 Tables
# <img src="im... | 1_Data_Modeling/4_noSQL_Data_Modeling/Lesson 3 Demo 1 2 Queries 2 Tables.ipynb |
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# # Performance metrics
#
# In this notebook we return... | lesson_9.ipynb |
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# Initial imports
import pandas as pd
from pathlib imp... | Crypto data.ipynb |
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# + [markdown] id="Ja7zPK-Gvi7Z"
# # Prompt Tuning
#
#
# + id="c... | tuning_finetune.ipynb |
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# # 使用决策树或者随机森林来预测分类对象
# ## 参考了下面的教程
# https://pch... | experiment/practices-dicisiontreeclassifier-randomforest.ipynb |