code stringlengths 38 801k | repo_path stringlengths 6 263 |
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from convlab2.nlu.jointBERT.multiwoz import BERTNLU
fr... | ws/Untitled.ipynb |
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from __future__ import absolute_import, division, ... | Run_detection.ipynb |
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# default_exp examples.causal_lm_gpt2
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#all_sl... | nbs/99e_examples-causal-lm-gpt2.ipynb |
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# # Code explanation
#
# At [this blog](http://nnorman... | Keras Adversarial Autoencoder MNIST.ipynb |
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# # GSD: Rpb1 orthologs in PB genomes
#
# This collect... | notebooks/GSD/GSD Rpb1_orthologs_in_PB_genomes.ipynb |
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# We have polaris and 47Cas stars real data
# Then we ... | startrackerpy/server/startracker/distances_maths.ipynb |
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using CSV, DataFrames, Dates, Plots
data = CSV.re... | Covid.ipynb |
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# + active=""
# 给你两个字符串数组 word1 和 word2 。
# 如果... | String/1123/1662. Check If Two String Arrays are Equivalent.ipynb |
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l = [1, 2, 3, 4, 5]
l.append(6)
l
l.count(3)
help(... | Methods.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | K_Means/K_Means_Using_EuclideanDistance.ipynb |
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# # First Attempt
# batch size 256 lr 1e-3
# ### Impo... | Classifiers/Day1/Model_0_Basic_Features_256_1e-3_swish_mult2_patience20.ipynb |
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import torch
import torch.nn as nn
import torchvision.... | 03-advanced/image_captioning/model.ipynb |
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# # Introduction
# > Notebook setup
# ### Notebook f... | notebooks/a-final-notebook.ipynb |
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# ![... | 9. Aggregators- All, Any, and others.ipynb |
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import numpy as np
import pandas as pd
import seabor... | Notebooks(models)/Notebook1.ipynb |
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import pandas as pd
import numpy as np
import json
imp... | time_series/.ipynb_checkpoints/03.5_create_and_analyze_static_df-checkpoint.ipynb |
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import pandas as pd
import sklearn
from bs4 import Bea... | rnn/word2vec/old_sentiment_imdb.ipynb |
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# # <img style="float: left; padding-right: 10px; widt... | content/labs/lab04/notebook/cs109b_lab04_bayes.ipynb |
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# # Introduction to products and measurements <img wid... | Beginners_guide/02_Products_and_measurements.ipynb |
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# Question2
def isPrime(n):
if (n<2):
... | Assignment Day 5.ipynb |
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# +... | _notebooks/2020-03-19-estimating_infected.ipynb |
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# ## Probalistic Confirmed COVID19 Cases- Denmark
# *... | notebooks/4.3-mbml_kf_final.ipynb |
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import mechanize
import cookielib
# Browser
br = ... | Assignment4/Scraping with Mechanize.ipynb |
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# # 1. Identifying bugs in code
# The following `strip... | notebooks/beginner/exercises/debugging_exercise.ipynb |
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# + [markdown] colab_type="text" id="BqmjPG8KGBcv"
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#... | _jupyterNotebooks/computer_vision/RockPaperScissors.ipynb |
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# ## Third Attempt on Language Detection
#
# This code... | Detect Language Attempt 3.ipynb |
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# # Convert Tensorflow model to ONNX
# The general pro... | tutorials/TensorflowToOnnx-2.ipynb |
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from typing import List
import numpy as np
import... | project_4/spectral_clustering.ipynb |
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import pandas as pd
import datetime
import yaml... | notebooks/Explore_PitchBook_Accel-Incub_VCInvest=0_JH.ipynb |
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# ## Code to compare original EQT performance to Se... | compare_eqt_seisbench.ipynb |
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# # Tutorial 2: Bird migration analysis
#
# <img align... | tutorials/2_bird_migration_analysis.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Parking_exercice_(Q_learning).ipynb |
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# <small><small><i>
# All of these python notebooks ar... | 001-Jupyter/001-Tutorials/005-Python4Maths/06.ipynb |
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# # Fermi-LAT data with Gammapy
#
# ## Introduction
#
... | docs/tutorials/fermi_lat.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | retorsYapuntes/DistribucionesDeProbabilidadDiscreta.ipynb |
# -*- coding: utf-8 -*-
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# # Scientific documents with $\LaTeX$
... | content/_build/jupyter_execute/notebooks/04-LaTeX.ipynb |
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# # Visualizing Frame Dragging in Kerr Spacetime
#
# #... | docs/source/examples/Visualizing Frame Dragging in Kerr Spacetime using EinsteinPy!.ipynb |
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# hash: 9b3d8300e9bf6fadd6a... | projects/qiskit_tutorials/tutorial_1_3.ipynb |
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# # Preprocessing data for Task 1
# ## Import section
... | task1_data_preprocessing.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | unit_3/Module_1_notebook.ipynb |
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# [![Colab](https://colab.research.google.com/assets/c... | etc/notebooks/load_results_files.ipynb |
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import os
os.chdir("/Users/kailong/Desktop/rtEnv/rtSyn... | archive/test feedback1.ipynb |
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# name: conda-env-miniconda3-python-tuto... | notebooks/figures/fig6_annualcyclebymonth.ipynb |
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# <img src="data:image/png;base64,iVBORw0K... | projects/05-conversion-rate/notebooks/99-eda.ipynb |
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# # Visualizing the gender gap in college degr... | percent-bachelors-degrees-women-usa.ipynb |
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# For technical reasons, this file is ... | _config.yml_p.ipynb |
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# # Neural Networks, Part 2: Convolutional Layers
#
# ... | neural-networks-conv.ipynb |
# +
from newsgac import database
from newsgac.users.models import User
from newsgac.common.utils import model_to_dict
[model_to_dict(user) for user in User.objects.all()]
# -
| notebooks/users.ipynb |
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# <div id="qe-notebook-header" align="right" style="te... | homework/HarveyT47/kesten_processes.ipynb |
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# + [markdown] id="Z5osKTr3CnRb" colab... | module3-autoencoders/LS_DS_433_Autoencoders_Lecture.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | credit_model_.ipynb |
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import cvxpy as cvx
import numpy as np
import pand... | notebooks/01_LP_Breakfast.ipynb |
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# # Práctico 2 - Redes en escalera avanzadas
#
# Este ... | archive/2019/consigna_practico_2.ipynb |
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# + id="Bowg-w0P315w"
# %matplotlib inline
import nump... | Team-notebooks/feature_selection .ipynb |
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# ## 2章: Open Bandit P... | ch02/synthetic-data.ipynb |
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# ## 作業
# 1. 請用 numpy 建立一個 10 x 10, 數值分布自 -1.0 ~ 1.0 的... | HomeWork/Day_020_HW.ipynb |
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# In this notebook we reconstruct the Stabilizer decom... | scratchpads/magic state decomposition.ipynb |
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# # Sampling for FaIR
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# Theme Song: Munich<br>
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# Snowpack inputs
# ===========
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# __Goal__:
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# + [markdown] slideshow={"slide_type": "slide"}
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# # Convolutional variational autoencoder with PyMC3 a... | docs/source/notebooks/convolutional_vae_keras_advi.ipynb |
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# <table width = "100%">
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import numpy as np
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# # Adaptive step-size selection for ODE filters
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# # Day_26. Nested Logic
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# ![image](https... | Learn to code in 30 days/Day_26. Nested Logic.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Publishing and sharing visualizations
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# We're go... | examples/05_publishing/01_publish_visualization_using_kuviz.ipynb |
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# # 01 - Introduction to Machine Learning
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# by [<NAM... | notebooks/01-IntroMachineLearning.ipynb |
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# # ¿Por qué computación cuántica?
# ## ¿Qué es una c... | translations/es/intro/why-quantum-computing.ipynb |
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from rapidz import Stream
from shed import FromEve... | examples/provenance_shed.ipynb |
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# # Machine Learning with H2O - Tutorial 2: Basic Data Manipulation
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# ... | introduction_to_machine_learning/r_02_data_manipulation.ipynb |
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# # Elastic wave equation implementation on a staggere... | examples/seismic/tutorials/07_elastic.ipynb |
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# # Style Transfer with Deep Neural Networks
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import pandas as pd
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import numpy as np
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import seaborn ... | MLDC MAY'21 - Day 3.ipynb |
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# + [markdown] colab_type="text" id="80xnU... | research/object_detection/nlp_modeling_library_intro.ipynb |
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# <i>Copyright (c) Microsoft Corporation. Al... | notebooks/00_quick_start/fastai_movielens.ipynb |
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import numpy as np
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... | S2_System_Identification/A3_FPA/System Identification.ipynb |
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import covid_daily
covid_daily.__functions__
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import sys
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# + [markdown] id="view-in-github" colab_type="text"
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# + [markdown] id="IeWWbNXWjTNl"
# #Just for text
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# # Rollout Starting Demo
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# This notebook demonstr... | demos/Rollout Starting Demo.ipynb |
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# # Perform spatial queries on points retrieved from T... | geo/exactEarth/Ships_SpatialQueries.ipynb |
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# # Beginner's Python Cheat Sheets
# ## 1. Variables ... | Python-Data Science.ipynb |
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type(10)
help(int)
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# + colab={} colab_type="code" id="3-7qi9TkyHut"
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# # <NAME>
# ## Does Gender and Race affe... | notebooks/analysis2.ipynb |
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import numpy as np
import pandas as pd
df = pd.read_c... | web/hecoweb/storage/eda/full_forecast.ipynb |